gabrielaltay
commited on
Commit
•
666e60c
1
Parent(s):
6597951
Training in progress, step 2024, checkpoint
Browse files- last-checkpoint/config.json +26 -0
- last-checkpoint/merges.txt +0 -0
- last-checkpoint/model.safetensors +3 -0
- last-checkpoint/optimizer.pt +3 -0
- last-checkpoint/rng_state_0.pth +3 -0
- last-checkpoint/rng_state_1.pth +3 -0
- last-checkpoint/scheduler.pt +3 -0
- last-checkpoint/special_tokens_map.json +15 -0
- last-checkpoint/tokenizer.json +0 -0
- last-checkpoint/tokenizer_config.json +57 -0
- last-checkpoint/trainer_state.json +3563 -0
- last-checkpoint/training_args.bin +3 -0
- last-checkpoint/vocab.json +0 -0
last-checkpoint/config.json
ADDED
@@ -0,0 +1,26 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"architectures": [
|
3 |
+
"RobertaForMaskedLM"
|
4 |
+
],
|
5 |
+
"attention_probs_dropout_prob": 0.1,
|
6 |
+
"bos_token_id": 0,
|
7 |
+
"classifier_dropout": null,
|
8 |
+
"eos_token_id": 2,
|
9 |
+
"hidden_act": "gelu",
|
10 |
+
"hidden_dropout_prob": 0.1,
|
11 |
+
"hidden_size": 768,
|
12 |
+
"initializer_range": 0.02,
|
13 |
+
"intermediate_size": 3072,
|
14 |
+
"layer_norm_eps": 1e-12,
|
15 |
+
"max_position_embeddings": 1026,
|
16 |
+
"model_type": "roberta",
|
17 |
+
"num_attention_heads": 12,
|
18 |
+
"num_hidden_layers": 12,
|
19 |
+
"pad_token_id": 1,
|
20 |
+
"position_embedding_type": "absolute",
|
21 |
+
"torch_dtype": "float32",
|
22 |
+
"transformers_version": "4.39.0.dev0",
|
23 |
+
"type_vocab_size": 2,
|
24 |
+
"use_cache": true,
|
25 |
+
"vocab_size": 50265
|
26 |
+
}
|
last-checkpoint/merges.txt
ADDED
The diff for this file is too large to render.
See raw diff
|
|
last-checkpoint/model.safetensors
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:926c17ce525c910785cef7aa1567edbeade79a3c2ccb26aa65f446c60f3e39da
|
3 |
+
size 500389884
|
last-checkpoint/optimizer.pt
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:e228c9c3f98a980d257fafd55d41d0400153aa02c7558b0975a4337ea05f993e
|
3 |
+
size 1000900218
|
last-checkpoint/rng_state_0.pth
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:42abef74a1f4e465248dd3dc8d516afe5aad327fced243f98c12c5f59cc6cd35
|
3 |
+
size 14512
|
last-checkpoint/rng_state_1.pth
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:dace5aeb239b3a665d0c6b9504d3683094d55fdead5672e76cba96248b11b0e8
|
3 |
+
size 14512
|
last-checkpoint/scheduler.pt
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:1d54810091ac000ba21b722b209ffc241142da38141955608aec479859cd84de
|
3 |
+
size 1064
|
last-checkpoint/special_tokens_map.json
ADDED
@@ -0,0 +1,15 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"bos_token": "<s>",
|
3 |
+
"cls_token": "<s>",
|
4 |
+
"eos_token": "</s>",
|
5 |
+
"mask_token": {
|
6 |
+
"content": "<mask>",
|
7 |
+
"lstrip": true,
|
8 |
+
"normalized": false,
|
9 |
+
"rstrip": false,
|
10 |
+
"single_word": false
|
11 |
+
},
|
12 |
+
"pad_token": "<pad>",
|
13 |
+
"sep_token": "</s>",
|
14 |
+
"unk_token": "<unk>"
|
15 |
+
}
|
last-checkpoint/tokenizer.json
ADDED
The diff for this file is too large to render.
See raw diff
|
|
last-checkpoint/tokenizer_config.json
ADDED
@@ -0,0 +1,57 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"add_prefix_space": false,
|
3 |
+
"added_tokens_decoder": {
|
4 |
+
"0": {
|
5 |
+
"content": "<s>",
|
6 |
+
"lstrip": false,
|
7 |
+
"normalized": true,
|
8 |
+
"rstrip": false,
|
9 |
+
"single_word": false,
|
10 |
+
"special": true
|
11 |
+
},
|
12 |
+
"1": {
|
13 |
+
"content": "<pad>",
|
14 |
+
"lstrip": false,
|
15 |
+
"normalized": true,
|
16 |
+
"rstrip": false,
|
17 |
+
"single_word": false,
|
18 |
+
"special": true
|
19 |
+
},
|
20 |
+
"2": {
|
21 |
+
"content": "</s>",
|
22 |
+
"lstrip": false,
|
23 |
+
"normalized": true,
|
24 |
+
"rstrip": false,
|
25 |
+
"single_word": false,
|
26 |
+
"special": true
|
27 |
+
},
|
28 |
+
"3": {
|
29 |
+
"content": "<unk>",
|
30 |
+
"lstrip": false,
|
31 |
+
"normalized": true,
|
32 |
+
"rstrip": false,
|
33 |
+
"single_word": false,
|
34 |
+
"special": true
|
35 |
+
},
|
36 |
+
"50264": {
|
37 |
+
"content": "<mask>",
|
38 |
+
"lstrip": true,
|
39 |
+
"normalized": false,
|
40 |
+
"rstrip": false,
|
41 |
+
"single_word": false,
|
42 |
+
"special": true
|
43 |
+
}
|
44 |
+
},
|
45 |
+
"bos_token": "<s>",
|
46 |
+
"clean_up_tokenization_spaces": true,
|
47 |
+
"cls_token": "<s>",
|
48 |
+
"eos_token": "</s>",
|
49 |
+
"errors": "replace",
|
50 |
+
"mask_token": "<mask>",
|
51 |
+
"model_max_length": 512,
|
52 |
+
"pad_token": "<pad>",
|
53 |
+
"sep_token": "</s>",
|
54 |
+
"tokenizer_class": "RobertaTokenizer",
|
55 |
+
"trim_offsets": true,
|
56 |
+
"unk_token": "<unk>"
|
57 |
+
}
|
last-checkpoint/trainer_state.json
ADDED
@@ -0,0 +1,3563 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"best_metric": null,
|
3 |
+
"best_model_checkpoint": null,
|
4 |
+
"epoch": 0.10000494095558081,
|
5 |
+
"eval_steps": 500,
|
6 |
+
"global_step": 2024,
|
7 |
+
"is_hyper_param_search": false,
|
8 |
+
"is_local_process_zero": true,
|
9 |
+
"is_world_process_zero": true,
|
10 |
+
"log_history": [
|
11 |
+
{
|
12 |
+
"epoch": 0.0,
|
13 |
+
"grad_norm": 3.7912962436676025,
|
14 |
+
"learning_rate": 4.9990118088838384e-05,
|
15 |
+
"loss": 10.3461,
|
16 |
+
"step": 4
|
17 |
+
},
|
18 |
+
{
|
19 |
+
"epoch": 0.0,
|
20 |
+
"grad_norm": 3.3178839683532715,
|
21 |
+
"learning_rate": 4.9980236177676767e-05,
|
22 |
+
"loss": 9.7253,
|
23 |
+
"step": 8
|
24 |
+
},
|
25 |
+
{
|
26 |
+
"epoch": 0.0,
|
27 |
+
"grad_norm": 3.043405055999756,
|
28 |
+
"learning_rate": 4.997035426651515e-05,
|
29 |
+
"loss": 9.476,
|
30 |
+
"step": 12
|
31 |
+
},
|
32 |
+
{
|
33 |
+
"epoch": 0.0,
|
34 |
+
"grad_norm": 3.0094900131225586,
|
35 |
+
"learning_rate": 4.9960472355353524e-05,
|
36 |
+
"loss": 9.2119,
|
37 |
+
"step": 16
|
38 |
+
},
|
39 |
+
{
|
40 |
+
"epoch": 0.0,
|
41 |
+
"grad_norm": 2.7685112953186035,
|
42 |
+
"learning_rate": 4.9950590444191906e-05,
|
43 |
+
"loss": 9.0744,
|
44 |
+
"step": 20
|
45 |
+
},
|
46 |
+
{
|
47 |
+
"epoch": 0.0,
|
48 |
+
"grad_norm": 2.816589832305908,
|
49 |
+
"learning_rate": 4.994070853303029e-05,
|
50 |
+
"loss": 8.8707,
|
51 |
+
"step": 24
|
52 |
+
},
|
53 |
+
{
|
54 |
+
"epoch": 0.0,
|
55 |
+
"grad_norm": 3.2649807929992676,
|
56 |
+
"learning_rate": 4.993082662186867e-05,
|
57 |
+
"loss": 8.677,
|
58 |
+
"step": 28
|
59 |
+
},
|
60 |
+
{
|
61 |
+
"epoch": 0.0,
|
62 |
+
"grad_norm": 2.543574571609497,
|
63 |
+
"learning_rate": 4.992094471070705e-05,
|
64 |
+
"loss": 8.5568,
|
65 |
+
"step": 32
|
66 |
+
},
|
67 |
+
{
|
68 |
+
"epoch": 0.0,
|
69 |
+
"grad_norm": 2.669053316116333,
|
70 |
+
"learning_rate": 4.9911062799545434e-05,
|
71 |
+
"loss": 8.2874,
|
72 |
+
"step": 36
|
73 |
+
},
|
74 |
+
{
|
75 |
+
"epoch": 0.0,
|
76 |
+
"grad_norm": 2.4249765872955322,
|
77 |
+
"learning_rate": 4.9901180888383816e-05,
|
78 |
+
"loss": 8.2541,
|
79 |
+
"step": 40
|
80 |
+
},
|
81 |
+
{
|
82 |
+
"epoch": 0.0,
|
83 |
+
"grad_norm": 2.1649515628814697,
|
84 |
+
"learning_rate": 4.98912989772222e-05,
|
85 |
+
"loss": 8.0488,
|
86 |
+
"step": 44
|
87 |
+
},
|
88 |
+
{
|
89 |
+
"epoch": 0.0,
|
90 |
+
"grad_norm": 2.1681978702545166,
|
91 |
+
"learning_rate": 4.9881417066060574e-05,
|
92 |
+
"loss": 7.9646,
|
93 |
+
"step": 48
|
94 |
+
},
|
95 |
+
{
|
96 |
+
"epoch": 0.0,
|
97 |
+
"grad_norm": 2.2630350589752197,
|
98 |
+
"learning_rate": 4.9871535154898956e-05,
|
99 |
+
"loss": 7.7305,
|
100 |
+
"step": 52
|
101 |
+
},
|
102 |
+
{
|
103 |
+
"epoch": 0.0,
|
104 |
+
"grad_norm": 2.286691904067993,
|
105 |
+
"learning_rate": 4.986165324373734e-05,
|
106 |
+
"loss": 7.5245,
|
107 |
+
"step": 56
|
108 |
+
},
|
109 |
+
{
|
110 |
+
"epoch": 0.0,
|
111 |
+
"grad_norm": 1.9876737594604492,
|
112 |
+
"learning_rate": 4.9851771332575727e-05,
|
113 |
+
"loss": 7.4304,
|
114 |
+
"step": 60
|
115 |
+
},
|
116 |
+
{
|
117 |
+
"epoch": 0.0,
|
118 |
+
"grad_norm": 1.7167022228240967,
|
119 |
+
"learning_rate": 4.984188942141411e-05,
|
120 |
+
"loss": 7.4031,
|
121 |
+
"step": 64
|
122 |
+
},
|
123 |
+
{
|
124 |
+
"epoch": 0.0,
|
125 |
+
"grad_norm": 1.8193055391311646,
|
126 |
+
"learning_rate": 4.983200751025249e-05,
|
127 |
+
"loss": 7.3022,
|
128 |
+
"step": 68
|
129 |
+
},
|
130 |
+
{
|
131 |
+
"epoch": 0.0,
|
132 |
+
"grad_norm": 1.543209195137024,
|
133 |
+
"learning_rate": 4.9822125599090866e-05,
|
134 |
+
"loss": 7.2365,
|
135 |
+
"step": 72
|
136 |
+
},
|
137 |
+
{
|
138 |
+
"epoch": 0.0,
|
139 |
+
"grad_norm": 1.75989830493927,
|
140 |
+
"learning_rate": 4.981224368792925e-05,
|
141 |
+
"loss": 7.0086,
|
142 |
+
"step": 76
|
143 |
+
},
|
144 |
+
{
|
145 |
+
"epoch": 0.0,
|
146 |
+
"grad_norm": 1.8119884729385376,
|
147 |
+
"learning_rate": 4.980236177676763e-05,
|
148 |
+
"loss": 7.1398,
|
149 |
+
"step": 80
|
150 |
+
},
|
151 |
+
{
|
152 |
+
"epoch": 0.0,
|
153 |
+
"grad_norm": 1.4095029830932617,
|
154 |
+
"learning_rate": 4.979247986560601e-05,
|
155 |
+
"loss": 6.9534,
|
156 |
+
"step": 84
|
157 |
+
},
|
158 |
+
{
|
159 |
+
"epoch": 0.0,
|
160 |
+
"grad_norm": 1.6824373006820679,
|
161 |
+
"learning_rate": 4.9782597954444394e-05,
|
162 |
+
"loss": 7.0708,
|
163 |
+
"step": 88
|
164 |
+
},
|
165 |
+
{
|
166 |
+
"epoch": 0.0,
|
167 |
+
"grad_norm": 1.6116963624954224,
|
168 |
+
"learning_rate": 4.9772716043282776e-05,
|
169 |
+
"loss": 6.957,
|
170 |
+
"step": 92
|
171 |
+
},
|
172 |
+
{
|
173 |
+
"epoch": 0.0,
|
174 |
+
"grad_norm": 1.2887672185897827,
|
175 |
+
"learning_rate": 4.976283413212116e-05,
|
176 |
+
"loss": 6.8803,
|
177 |
+
"step": 96
|
178 |
+
},
|
179 |
+
{
|
180 |
+
"epoch": 0.0,
|
181 |
+
"grad_norm": 1.2640583515167236,
|
182 |
+
"learning_rate": 4.9752952220959534e-05,
|
183 |
+
"loss": 6.6778,
|
184 |
+
"step": 100
|
185 |
+
},
|
186 |
+
{
|
187 |
+
"epoch": 0.01,
|
188 |
+
"grad_norm": 1.3888378143310547,
|
189 |
+
"learning_rate": 4.9743070309797916e-05,
|
190 |
+
"loss": 6.7205,
|
191 |
+
"step": 104
|
192 |
+
},
|
193 |
+
{
|
194 |
+
"epoch": 0.01,
|
195 |
+
"grad_norm": 1.4042987823486328,
|
196 |
+
"learning_rate": 4.97331883986363e-05,
|
197 |
+
"loss": 6.7003,
|
198 |
+
"step": 108
|
199 |
+
},
|
200 |
+
{
|
201 |
+
"epoch": 0.01,
|
202 |
+
"grad_norm": 1.531121015548706,
|
203 |
+
"learning_rate": 4.972330648747468e-05,
|
204 |
+
"loss": 6.7113,
|
205 |
+
"step": 112
|
206 |
+
},
|
207 |
+
{
|
208 |
+
"epoch": 0.01,
|
209 |
+
"grad_norm": 1.5138936042785645,
|
210 |
+
"learning_rate": 4.971342457631306e-05,
|
211 |
+
"loss": 6.6541,
|
212 |
+
"step": 116
|
213 |
+
},
|
214 |
+
{
|
215 |
+
"epoch": 0.01,
|
216 |
+
"grad_norm": 1.5610084533691406,
|
217 |
+
"learning_rate": 4.9703542665151444e-05,
|
218 |
+
"loss": 6.6966,
|
219 |
+
"step": 120
|
220 |
+
},
|
221 |
+
{
|
222 |
+
"epoch": 0.01,
|
223 |
+
"grad_norm": 1.3988789319992065,
|
224 |
+
"learning_rate": 4.9693660753989826e-05,
|
225 |
+
"loss": 6.5739,
|
226 |
+
"step": 124
|
227 |
+
},
|
228 |
+
{
|
229 |
+
"epoch": 0.01,
|
230 |
+
"grad_norm": 1.511693000793457,
|
231 |
+
"learning_rate": 4.968377884282821e-05,
|
232 |
+
"loss": 6.6209,
|
233 |
+
"step": 128
|
234 |
+
},
|
235 |
+
{
|
236 |
+
"epoch": 0.01,
|
237 |
+
"grad_norm": 1.4789738655090332,
|
238 |
+
"learning_rate": 4.967389693166658e-05,
|
239 |
+
"loss": 6.497,
|
240 |
+
"step": 132
|
241 |
+
},
|
242 |
+
{
|
243 |
+
"epoch": 0.01,
|
244 |
+
"grad_norm": 1.312217354774475,
|
245 |
+
"learning_rate": 4.9664015020504965e-05,
|
246 |
+
"loss": 6.4966,
|
247 |
+
"step": 136
|
248 |
+
},
|
249 |
+
{
|
250 |
+
"epoch": 0.01,
|
251 |
+
"grad_norm": 1.2716199159622192,
|
252 |
+
"learning_rate": 4.965413310934335e-05,
|
253 |
+
"loss": 6.6663,
|
254 |
+
"step": 140
|
255 |
+
},
|
256 |
+
{
|
257 |
+
"epoch": 0.01,
|
258 |
+
"grad_norm": 1.5896294116973877,
|
259 |
+
"learning_rate": 4.964425119818173e-05,
|
260 |
+
"loss": 6.7358,
|
261 |
+
"step": 144
|
262 |
+
},
|
263 |
+
{
|
264 |
+
"epoch": 0.01,
|
265 |
+
"grad_norm": 3.169236660003662,
|
266 |
+
"learning_rate": 4.963436928702011e-05,
|
267 |
+
"loss": 6.7237,
|
268 |
+
"step": 148
|
269 |
+
},
|
270 |
+
{
|
271 |
+
"epoch": 0.01,
|
272 |
+
"grad_norm": 2.6182782649993896,
|
273 |
+
"learning_rate": 4.9624487375858494e-05,
|
274 |
+
"loss": 6.4832,
|
275 |
+
"step": 152
|
276 |
+
},
|
277 |
+
{
|
278 |
+
"epoch": 0.01,
|
279 |
+
"grad_norm": 1.5328868627548218,
|
280 |
+
"learning_rate": 4.9614605464696876e-05,
|
281 |
+
"loss": 6.5984,
|
282 |
+
"step": 156
|
283 |
+
},
|
284 |
+
{
|
285 |
+
"epoch": 0.01,
|
286 |
+
"grad_norm": 1.2593821287155151,
|
287 |
+
"learning_rate": 4.960472355353525e-05,
|
288 |
+
"loss": 6.5301,
|
289 |
+
"step": 160
|
290 |
+
},
|
291 |
+
{
|
292 |
+
"epoch": 0.01,
|
293 |
+
"grad_norm": 1.7900025844573975,
|
294 |
+
"learning_rate": 4.959484164237363e-05,
|
295 |
+
"loss": 6.555,
|
296 |
+
"step": 164
|
297 |
+
},
|
298 |
+
{
|
299 |
+
"epoch": 0.01,
|
300 |
+
"grad_norm": 2.1635518074035645,
|
301 |
+
"learning_rate": 4.9584959731212015e-05,
|
302 |
+
"loss": 6.5686,
|
303 |
+
"step": 168
|
304 |
+
},
|
305 |
+
{
|
306 |
+
"epoch": 0.01,
|
307 |
+
"grad_norm": 1.4018573760986328,
|
308 |
+
"learning_rate": 4.95750778200504e-05,
|
309 |
+
"loss": 6.4757,
|
310 |
+
"step": 172
|
311 |
+
},
|
312 |
+
{
|
313 |
+
"epoch": 0.01,
|
314 |
+
"grad_norm": 1.6255518198013306,
|
315 |
+
"learning_rate": 4.9565195908888786e-05,
|
316 |
+
"loss": 6.4482,
|
317 |
+
"step": 176
|
318 |
+
},
|
319 |
+
{
|
320 |
+
"epoch": 0.01,
|
321 |
+
"grad_norm": 1.5604472160339355,
|
322 |
+
"learning_rate": 4.955531399772717e-05,
|
323 |
+
"loss": 6.448,
|
324 |
+
"step": 180
|
325 |
+
},
|
326 |
+
{
|
327 |
+
"epoch": 0.01,
|
328 |
+
"grad_norm": 1.4451005458831787,
|
329 |
+
"learning_rate": 4.954543208656554e-05,
|
330 |
+
"loss": 6.5368,
|
331 |
+
"step": 184
|
332 |
+
},
|
333 |
+
{
|
334 |
+
"epoch": 0.01,
|
335 |
+
"grad_norm": 1.330167531967163,
|
336 |
+
"learning_rate": 4.9535550175403925e-05,
|
337 |
+
"loss": 6.473,
|
338 |
+
"step": 188
|
339 |
+
},
|
340 |
+
{
|
341 |
+
"epoch": 0.01,
|
342 |
+
"grad_norm": 1.9696011543273926,
|
343 |
+
"learning_rate": 4.952566826424231e-05,
|
344 |
+
"loss": 6.4951,
|
345 |
+
"step": 192
|
346 |
+
},
|
347 |
+
{
|
348 |
+
"epoch": 0.01,
|
349 |
+
"grad_norm": 1.7933244705200195,
|
350 |
+
"learning_rate": 4.951578635308069e-05,
|
351 |
+
"loss": 6.471,
|
352 |
+
"step": 196
|
353 |
+
},
|
354 |
+
{
|
355 |
+
"epoch": 0.01,
|
356 |
+
"grad_norm": 1.6044100522994995,
|
357 |
+
"learning_rate": 4.950590444191907e-05,
|
358 |
+
"loss": 6.4612,
|
359 |
+
"step": 200
|
360 |
+
},
|
361 |
+
{
|
362 |
+
"epoch": 0.01,
|
363 |
+
"grad_norm": 1.3888564109802246,
|
364 |
+
"learning_rate": 4.9496022530757454e-05,
|
365 |
+
"loss": 6.4879,
|
366 |
+
"step": 204
|
367 |
+
},
|
368 |
+
{
|
369 |
+
"epoch": 0.01,
|
370 |
+
"grad_norm": 1.2492824792861938,
|
371 |
+
"learning_rate": 4.9486140619595836e-05,
|
372 |
+
"loss": 6.3364,
|
373 |
+
"step": 208
|
374 |
+
},
|
375 |
+
{
|
376 |
+
"epoch": 0.01,
|
377 |
+
"grad_norm": 1.8178552389144897,
|
378 |
+
"learning_rate": 4.947625870843422e-05,
|
379 |
+
"loss": 6.5152,
|
380 |
+
"step": 212
|
381 |
+
},
|
382 |
+
{
|
383 |
+
"epoch": 0.01,
|
384 |
+
"grad_norm": 1.363503098487854,
|
385 |
+
"learning_rate": 4.946637679727259e-05,
|
386 |
+
"loss": 6.2865,
|
387 |
+
"step": 216
|
388 |
+
},
|
389 |
+
{
|
390 |
+
"epoch": 0.01,
|
391 |
+
"grad_norm": 1.319766640663147,
|
392 |
+
"learning_rate": 4.9456494886110975e-05,
|
393 |
+
"loss": 6.4775,
|
394 |
+
"step": 220
|
395 |
+
},
|
396 |
+
{
|
397 |
+
"epoch": 0.01,
|
398 |
+
"grad_norm": 1.3917903900146484,
|
399 |
+
"learning_rate": 4.944661297494936e-05,
|
400 |
+
"loss": 6.4147,
|
401 |
+
"step": 224
|
402 |
+
},
|
403 |
+
{
|
404 |
+
"epoch": 0.01,
|
405 |
+
"grad_norm": 2.465641736984253,
|
406 |
+
"learning_rate": 4.943673106378774e-05,
|
407 |
+
"loss": 6.2991,
|
408 |
+
"step": 228
|
409 |
+
},
|
410 |
+
{
|
411 |
+
"epoch": 0.01,
|
412 |
+
"grad_norm": 1.6081475019454956,
|
413 |
+
"learning_rate": 4.942684915262612e-05,
|
414 |
+
"loss": 6.442,
|
415 |
+
"step": 232
|
416 |
+
},
|
417 |
+
{
|
418 |
+
"epoch": 0.01,
|
419 |
+
"grad_norm": 1.3391867876052856,
|
420 |
+
"learning_rate": 4.94169672414645e-05,
|
421 |
+
"loss": 6.3932,
|
422 |
+
"step": 236
|
423 |
+
},
|
424 |
+
{
|
425 |
+
"epoch": 0.01,
|
426 |
+
"grad_norm": 1.4221361875534058,
|
427 |
+
"learning_rate": 4.9407085330302885e-05,
|
428 |
+
"loss": 6.5403,
|
429 |
+
"step": 240
|
430 |
+
},
|
431 |
+
{
|
432 |
+
"epoch": 0.01,
|
433 |
+
"grad_norm": 1.60570228099823,
|
434 |
+
"learning_rate": 4.939720341914126e-05,
|
435 |
+
"loss": 6.397,
|
436 |
+
"step": 244
|
437 |
+
},
|
438 |
+
{
|
439 |
+
"epoch": 0.01,
|
440 |
+
"grad_norm": 1.3305834531784058,
|
441 |
+
"learning_rate": 4.938732150797964e-05,
|
442 |
+
"loss": 6.4258,
|
443 |
+
"step": 248
|
444 |
+
},
|
445 |
+
{
|
446 |
+
"epoch": 0.01,
|
447 |
+
"grad_norm": 1.617050290107727,
|
448 |
+
"learning_rate": 4.9377439596818025e-05,
|
449 |
+
"loss": 6.3044,
|
450 |
+
"step": 252
|
451 |
+
},
|
452 |
+
{
|
453 |
+
"epoch": 0.01,
|
454 |
+
"grad_norm": 1.6071454286575317,
|
455 |
+
"learning_rate": 4.936755768565641e-05,
|
456 |
+
"loss": 6.3836,
|
457 |
+
"step": 256
|
458 |
+
},
|
459 |
+
{
|
460 |
+
"epoch": 0.01,
|
461 |
+
"grad_norm": 2.0243899822235107,
|
462 |
+
"learning_rate": 4.935767577449479e-05,
|
463 |
+
"loss": 6.4785,
|
464 |
+
"step": 260
|
465 |
+
},
|
466 |
+
{
|
467 |
+
"epoch": 0.01,
|
468 |
+
"grad_norm": 1.4023394584655762,
|
469 |
+
"learning_rate": 4.934779386333317e-05,
|
470 |
+
"loss": 6.4129,
|
471 |
+
"step": 264
|
472 |
+
},
|
473 |
+
{
|
474 |
+
"epoch": 0.01,
|
475 |
+
"grad_norm": 1.6561346054077148,
|
476 |
+
"learning_rate": 4.933791195217155e-05,
|
477 |
+
"loss": 6.227,
|
478 |
+
"step": 268
|
479 |
+
},
|
480 |
+
{
|
481 |
+
"epoch": 0.01,
|
482 |
+
"grad_norm": 1.4024381637573242,
|
483 |
+
"learning_rate": 4.932803004100993e-05,
|
484 |
+
"loss": 6.3957,
|
485 |
+
"step": 272
|
486 |
+
},
|
487 |
+
{
|
488 |
+
"epoch": 0.01,
|
489 |
+
"grad_norm": 1.576090693473816,
|
490 |
+
"learning_rate": 4.931814812984831e-05,
|
491 |
+
"loss": 6.359,
|
492 |
+
"step": 276
|
493 |
+
},
|
494 |
+
{
|
495 |
+
"epoch": 0.01,
|
496 |
+
"grad_norm": 1.2421482801437378,
|
497 |
+
"learning_rate": 4.930826621868669e-05,
|
498 |
+
"loss": 6.3735,
|
499 |
+
"step": 280
|
500 |
+
},
|
501 |
+
{
|
502 |
+
"epoch": 0.01,
|
503 |
+
"grad_norm": 1.453856110572815,
|
504 |
+
"learning_rate": 4.9298384307525074e-05,
|
505 |
+
"loss": 6.4156,
|
506 |
+
"step": 284
|
507 |
+
},
|
508 |
+
{
|
509 |
+
"epoch": 0.01,
|
510 |
+
"grad_norm": 1.426669955253601,
|
511 |
+
"learning_rate": 4.928850239636346e-05,
|
512 |
+
"loss": 6.3278,
|
513 |
+
"step": 288
|
514 |
+
},
|
515 |
+
{
|
516 |
+
"epoch": 0.01,
|
517 |
+
"grad_norm": 1.5175261497497559,
|
518 |
+
"learning_rate": 4.9278620485201845e-05,
|
519 |
+
"loss": 6.3645,
|
520 |
+
"step": 292
|
521 |
+
},
|
522 |
+
{
|
523 |
+
"epoch": 0.01,
|
524 |
+
"grad_norm": 1.3980427980422974,
|
525 |
+
"learning_rate": 4.926873857404023e-05,
|
526 |
+
"loss": 6.3977,
|
527 |
+
"step": 296
|
528 |
+
},
|
529 |
+
{
|
530 |
+
"epoch": 0.01,
|
531 |
+
"grad_norm": 1.6867117881774902,
|
532 |
+
"learning_rate": 4.92588566628786e-05,
|
533 |
+
"loss": 6.3506,
|
534 |
+
"step": 300
|
535 |
+
},
|
536 |
+
{
|
537 |
+
"epoch": 0.02,
|
538 |
+
"grad_norm": 1.5795122385025024,
|
539 |
+
"learning_rate": 4.9248974751716985e-05,
|
540 |
+
"loss": 6.3062,
|
541 |
+
"step": 304
|
542 |
+
},
|
543 |
+
{
|
544 |
+
"epoch": 0.02,
|
545 |
+
"grad_norm": 1.5149136781692505,
|
546 |
+
"learning_rate": 4.923909284055537e-05,
|
547 |
+
"loss": 6.302,
|
548 |
+
"step": 308
|
549 |
+
},
|
550 |
+
{
|
551 |
+
"epoch": 0.02,
|
552 |
+
"grad_norm": 1.2091716527938843,
|
553 |
+
"learning_rate": 4.922921092939375e-05,
|
554 |
+
"loss": 6.2064,
|
555 |
+
"step": 312
|
556 |
+
},
|
557 |
+
{
|
558 |
+
"epoch": 0.02,
|
559 |
+
"grad_norm": 1.553070306777954,
|
560 |
+
"learning_rate": 4.921932901823213e-05,
|
561 |
+
"loss": 6.3236,
|
562 |
+
"step": 316
|
563 |
+
},
|
564 |
+
{
|
565 |
+
"epoch": 0.02,
|
566 |
+
"grad_norm": 1.7350945472717285,
|
567 |
+
"learning_rate": 4.920944710707051e-05,
|
568 |
+
"loss": 6.3381,
|
569 |
+
"step": 320
|
570 |
+
},
|
571 |
+
{
|
572 |
+
"epoch": 0.02,
|
573 |
+
"grad_norm": 1.2416383028030396,
|
574 |
+
"learning_rate": 4.9199565195908895e-05,
|
575 |
+
"loss": 6.4411,
|
576 |
+
"step": 324
|
577 |
+
},
|
578 |
+
{
|
579 |
+
"epoch": 0.02,
|
580 |
+
"grad_norm": 1.4091325998306274,
|
581 |
+
"learning_rate": 4.918968328474727e-05,
|
582 |
+
"loss": 6.4273,
|
583 |
+
"step": 328
|
584 |
+
},
|
585 |
+
{
|
586 |
+
"epoch": 0.02,
|
587 |
+
"grad_norm": 1.261334776878357,
|
588 |
+
"learning_rate": 4.917980137358565e-05,
|
589 |
+
"loss": 6.2724,
|
590 |
+
"step": 332
|
591 |
+
},
|
592 |
+
{
|
593 |
+
"epoch": 0.02,
|
594 |
+
"grad_norm": 1.6297985315322876,
|
595 |
+
"learning_rate": 4.9169919462424034e-05,
|
596 |
+
"loss": 6.2387,
|
597 |
+
"step": 336
|
598 |
+
},
|
599 |
+
{
|
600 |
+
"epoch": 0.02,
|
601 |
+
"grad_norm": 1.458993673324585,
|
602 |
+
"learning_rate": 4.9160037551262417e-05,
|
603 |
+
"loss": 6.3042,
|
604 |
+
"step": 340
|
605 |
+
},
|
606 |
+
{
|
607 |
+
"epoch": 0.02,
|
608 |
+
"grad_norm": 1.355808138847351,
|
609 |
+
"learning_rate": 4.91501556401008e-05,
|
610 |
+
"loss": 6.2788,
|
611 |
+
"step": 344
|
612 |
+
},
|
613 |
+
{
|
614 |
+
"epoch": 0.02,
|
615 |
+
"grad_norm": 1.2890819311141968,
|
616 |
+
"learning_rate": 4.914027372893918e-05,
|
617 |
+
"loss": 6.3692,
|
618 |
+
"step": 348
|
619 |
+
},
|
620 |
+
{
|
621 |
+
"epoch": 0.02,
|
622 |
+
"grad_norm": 1.5858672857284546,
|
623 |
+
"learning_rate": 4.913039181777756e-05,
|
624 |
+
"loss": 6.2324,
|
625 |
+
"step": 352
|
626 |
+
},
|
627 |
+
{
|
628 |
+
"epoch": 0.02,
|
629 |
+
"grad_norm": 1.5306330919265747,
|
630 |
+
"learning_rate": 4.912050990661594e-05,
|
631 |
+
"loss": 6.4247,
|
632 |
+
"step": 356
|
633 |
+
},
|
634 |
+
{
|
635 |
+
"epoch": 0.02,
|
636 |
+
"grad_norm": 1.386789083480835,
|
637 |
+
"learning_rate": 4.911062799545432e-05,
|
638 |
+
"loss": 6.4219,
|
639 |
+
"step": 360
|
640 |
+
},
|
641 |
+
{
|
642 |
+
"epoch": 0.02,
|
643 |
+
"grad_norm": 1.288030743598938,
|
644 |
+
"learning_rate": 4.91007460842927e-05,
|
645 |
+
"loss": 6.2128,
|
646 |
+
"step": 364
|
647 |
+
},
|
648 |
+
{
|
649 |
+
"epoch": 0.02,
|
650 |
+
"grad_norm": 1.5249669551849365,
|
651 |
+
"learning_rate": 4.9090864173131084e-05,
|
652 |
+
"loss": 6.2724,
|
653 |
+
"step": 368
|
654 |
+
},
|
655 |
+
{
|
656 |
+
"epoch": 0.02,
|
657 |
+
"grad_norm": 1.787862777709961,
|
658 |
+
"learning_rate": 4.9080982261969466e-05,
|
659 |
+
"loss": 6.3139,
|
660 |
+
"step": 372
|
661 |
+
},
|
662 |
+
{
|
663 |
+
"epoch": 0.02,
|
664 |
+
"grad_norm": 1.7556533813476562,
|
665 |
+
"learning_rate": 4.907110035080785e-05,
|
666 |
+
"loss": 6.3006,
|
667 |
+
"step": 376
|
668 |
+
},
|
669 |
+
{
|
670 |
+
"epoch": 0.02,
|
671 |
+
"grad_norm": 1.5250591039657593,
|
672 |
+
"learning_rate": 4.906121843964623e-05,
|
673 |
+
"loss": 6.3109,
|
674 |
+
"step": 380
|
675 |
+
},
|
676 |
+
{
|
677 |
+
"epoch": 0.02,
|
678 |
+
"grad_norm": 1.591663122177124,
|
679 |
+
"learning_rate": 4.905133652848461e-05,
|
680 |
+
"loss": 6.2026,
|
681 |
+
"step": 384
|
682 |
+
},
|
683 |
+
{
|
684 |
+
"epoch": 0.02,
|
685 |
+
"grad_norm": 1.3261005878448486,
|
686 |
+
"learning_rate": 4.904145461732299e-05,
|
687 |
+
"loss": 6.2905,
|
688 |
+
"step": 388
|
689 |
+
},
|
690 |
+
{
|
691 |
+
"epoch": 0.02,
|
692 |
+
"grad_norm": 1.692723035812378,
|
693 |
+
"learning_rate": 4.903157270616137e-05,
|
694 |
+
"loss": 6.3296,
|
695 |
+
"step": 392
|
696 |
+
},
|
697 |
+
{
|
698 |
+
"epoch": 0.02,
|
699 |
+
"grad_norm": 1.2827457189559937,
|
700 |
+
"learning_rate": 4.902169079499975e-05,
|
701 |
+
"loss": 6.229,
|
702 |
+
"step": 396
|
703 |
+
},
|
704 |
+
{
|
705 |
+
"epoch": 0.02,
|
706 |
+
"grad_norm": 1.3109639883041382,
|
707 |
+
"learning_rate": 4.9011808883838134e-05,
|
708 |
+
"loss": 6.2625,
|
709 |
+
"step": 400
|
710 |
+
},
|
711 |
+
{
|
712 |
+
"epoch": 0.02,
|
713 |
+
"grad_norm": 1.7134902477264404,
|
714 |
+
"learning_rate": 4.900192697267652e-05,
|
715 |
+
"loss": 6.1219,
|
716 |
+
"step": 404
|
717 |
+
},
|
718 |
+
{
|
719 |
+
"epoch": 0.02,
|
720 |
+
"grad_norm": 1.3591091632843018,
|
721 |
+
"learning_rate": 4.8992045061514905e-05,
|
722 |
+
"loss": 6.2059,
|
723 |
+
"step": 408
|
724 |
+
},
|
725 |
+
{
|
726 |
+
"epoch": 0.02,
|
727 |
+
"grad_norm": 1.4868909120559692,
|
728 |
+
"learning_rate": 4.898216315035328e-05,
|
729 |
+
"loss": 6.2244,
|
730 |
+
"step": 412
|
731 |
+
},
|
732 |
+
{
|
733 |
+
"epoch": 0.02,
|
734 |
+
"grad_norm": 1.4216508865356445,
|
735 |
+
"learning_rate": 4.897228123919166e-05,
|
736 |
+
"loss": 6.2348,
|
737 |
+
"step": 416
|
738 |
+
},
|
739 |
+
{
|
740 |
+
"epoch": 0.02,
|
741 |
+
"grad_norm": 1.6655827760696411,
|
742 |
+
"learning_rate": 4.8962399328030044e-05,
|
743 |
+
"loss": 6.2708,
|
744 |
+
"step": 420
|
745 |
+
},
|
746 |
+
{
|
747 |
+
"epoch": 0.02,
|
748 |
+
"grad_norm": 1.2668567895889282,
|
749 |
+
"learning_rate": 4.8952517416868426e-05,
|
750 |
+
"loss": 6.1847,
|
751 |
+
"step": 424
|
752 |
+
},
|
753 |
+
{
|
754 |
+
"epoch": 0.02,
|
755 |
+
"grad_norm": 1.4796233177185059,
|
756 |
+
"learning_rate": 4.894263550570681e-05,
|
757 |
+
"loss": 6.2613,
|
758 |
+
"step": 428
|
759 |
+
},
|
760 |
+
{
|
761 |
+
"epoch": 0.02,
|
762 |
+
"grad_norm": 1.6667245626449585,
|
763 |
+
"learning_rate": 4.893275359454519e-05,
|
764 |
+
"loss": 6.3676,
|
765 |
+
"step": 432
|
766 |
+
},
|
767 |
+
{
|
768 |
+
"epoch": 0.02,
|
769 |
+
"grad_norm": 1.780787467956543,
|
770 |
+
"learning_rate": 4.892287168338357e-05,
|
771 |
+
"loss": 6.341,
|
772 |
+
"step": 436
|
773 |
+
},
|
774 |
+
{
|
775 |
+
"epoch": 0.02,
|
776 |
+
"grad_norm": 1.415461540222168,
|
777 |
+
"learning_rate": 4.891298977222195e-05,
|
778 |
+
"loss": 6.2441,
|
779 |
+
"step": 440
|
780 |
+
},
|
781 |
+
{
|
782 |
+
"epoch": 0.02,
|
783 |
+
"grad_norm": 1.4248474836349487,
|
784 |
+
"learning_rate": 4.890310786106033e-05,
|
785 |
+
"loss": 6.282,
|
786 |
+
"step": 444
|
787 |
+
},
|
788 |
+
{
|
789 |
+
"epoch": 0.02,
|
790 |
+
"grad_norm": 2.0168416500091553,
|
791 |
+
"learning_rate": 4.889322594989871e-05,
|
792 |
+
"loss": 6.2457,
|
793 |
+
"step": 448
|
794 |
+
},
|
795 |
+
{
|
796 |
+
"epoch": 0.02,
|
797 |
+
"grad_norm": 1.983055830001831,
|
798 |
+
"learning_rate": 4.8883344038737094e-05,
|
799 |
+
"loss": 6.1607,
|
800 |
+
"step": 452
|
801 |
+
},
|
802 |
+
{
|
803 |
+
"epoch": 0.02,
|
804 |
+
"grad_norm": 1.9059456586837769,
|
805 |
+
"learning_rate": 4.8873462127575476e-05,
|
806 |
+
"loss": 6.1443,
|
807 |
+
"step": 456
|
808 |
+
},
|
809 |
+
{
|
810 |
+
"epoch": 0.02,
|
811 |
+
"grad_norm": 1.5710817575454712,
|
812 |
+
"learning_rate": 4.886358021641386e-05,
|
813 |
+
"loss": 6.2631,
|
814 |
+
"step": 460
|
815 |
+
},
|
816 |
+
{
|
817 |
+
"epoch": 0.02,
|
818 |
+
"grad_norm": 2.3912734985351562,
|
819 |
+
"learning_rate": 4.885369830525224e-05,
|
820 |
+
"loss": 6.2484,
|
821 |
+
"step": 464
|
822 |
+
},
|
823 |
+
{
|
824 |
+
"epoch": 0.02,
|
825 |
+
"grad_norm": 1.5551170110702515,
|
826 |
+
"learning_rate": 4.884381639409062e-05,
|
827 |
+
"loss": 6.3059,
|
828 |
+
"step": 468
|
829 |
+
},
|
830 |
+
{
|
831 |
+
"epoch": 0.02,
|
832 |
+
"grad_norm": 1.5288927555084229,
|
833 |
+
"learning_rate": 4.8833934482929e-05,
|
834 |
+
"loss": 6.0518,
|
835 |
+
"step": 472
|
836 |
+
},
|
837 |
+
{
|
838 |
+
"epoch": 0.02,
|
839 |
+
"grad_norm": 1.6663211584091187,
|
840 |
+
"learning_rate": 4.882405257176738e-05,
|
841 |
+
"loss": 6.2273,
|
842 |
+
"step": 476
|
843 |
+
},
|
844 |
+
{
|
845 |
+
"epoch": 0.02,
|
846 |
+
"grad_norm": 1.5548433065414429,
|
847 |
+
"learning_rate": 4.881417066060576e-05,
|
848 |
+
"loss": 6.1407,
|
849 |
+
"step": 480
|
850 |
+
},
|
851 |
+
{
|
852 |
+
"epoch": 0.02,
|
853 |
+
"grad_norm": 1.4325834512710571,
|
854 |
+
"learning_rate": 4.8804288749444144e-05,
|
855 |
+
"loss": 6.1346,
|
856 |
+
"step": 484
|
857 |
+
},
|
858 |
+
{
|
859 |
+
"epoch": 0.02,
|
860 |
+
"grad_norm": 1.622158408164978,
|
861 |
+
"learning_rate": 4.8794406838282526e-05,
|
862 |
+
"loss": 6.1832,
|
863 |
+
"step": 488
|
864 |
+
},
|
865 |
+
{
|
866 |
+
"epoch": 0.02,
|
867 |
+
"grad_norm": 1.4777097702026367,
|
868 |
+
"learning_rate": 4.878452492712091e-05,
|
869 |
+
"loss": 6.2451,
|
870 |
+
"step": 492
|
871 |
+
},
|
872 |
+
{
|
873 |
+
"epoch": 0.02,
|
874 |
+
"grad_norm": 1.1623598337173462,
|
875 |
+
"learning_rate": 4.877464301595929e-05,
|
876 |
+
"loss": 6.1631,
|
877 |
+
"step": 496
|
878 |
+
},
|
879 |
+
{
|
880 |
+
"epoch": 0.02,
|
881 |
+
"grad_norm": 1.598676323890686,
|
882 |
+
"learning_rate": 4.8764761104797665e-05,
|
883 |
+
"loss": 6.2348,
|
884 |
+
"step": 500
|
885 |
+
},
|
886 |
+
{
|
887 |
+
"epoch": 0.02,
|
888 |
+
"grad_norm": 1.610736608505249,
|
889 |
+
"learning_rate": 4.875487919363605e-05,
|
890 |
+
"loss": 6.3664,
|
891 |
+
"step": 504
|
892 |
+
},
|
893 |
+
{
|
894 |
+
"epoch": 0.03,
|
895 |
+
"grad_norm": 1.4379361867904663,
|
896 |
+
"learning_rate": 4.874499728247443e-05,
|
897 |
+
"loss": 6.202,
|
898 |
+
"step": 508
|
899 |
+
},
|
900 |
+
{
|
901 |
+
"epoch": 0.03,
|
902 |
+
"grad_norm": 1.3208808898925781,
|
903 |
+
"learning_rate": 4.873511537131281e-05,
|
904 |
+
"loss": 6.1286,
|
905 |
+
"step": 512
|
906 |
+
},
|
907 |
+
{
|
908 |
+
"epoch": 0.03,
|
909 |
+
"grad_norm": 1.3087486028671265,
|
910 |
+
"learning_rate": 4.872523346015119e-05,
|
911 |
+
"loss": 6.2657,
|
912 |
+
"step": 516
|
913 |
+
},
|
914 |
+
{
|
915 |
+
"epoch": 0.03,
|
916 |
+
"grad_norm": 1.3428252935409546,
|
917 |
+
"learning_rate": 4.871535154898958e-05,
|
918 |
+
"loss": 6.0752,
|
919 |
+
"step": 520
|
920 |
+
},
|
921 |
+
{
|
922 |
+
"epoch": 0.03,
|
923 |
+
"grad_norm": 1.5278196334838867,
|
924 |
+
"learning_rate": 4.870546963782796e-05,
|
925 |
+
"loss": 6.267,
|
926 |
+
"step": 524
|
927 |
+
},
|
928 |
+
{
|
929 |
+
"epoch": 0.03,
|
930 |
+
"grad_norm": 1.5938080549240112,
|
931 |
+
"learning_rate": 4.869558772666634e-05,
|
932 |
+
"loss": 6.177,
|
933 |
+
"step": 528
|
934 |
+
},
|
935 |
+
{
|
936 |
+
"epoch": 0.03,
|
937 |
+
"grad_norm": 1.2772130966186523,
|
938 |
+
"learning_rate": 4.868570581550472e-05,
|
939 |
+
"loss": 6.2219,
|
940 |
+
"step": 532
|
941 |
+
},
|
942 |
+
{
|
943 |
+
"epoch": 0.03,
|
944 |
+
"grad_norm": 1.4687914848327637,
|
945 |
+
"learning_rate": 4.8675823904343104e-05,
|
946 |
+
"loss": 6.2316,
|
947 |
+
"step": 536
|
948 |
+
},
|
949 |
+
{
|
950 |
+
"epoch": 0.03,
|
951 |
+
"grad_norm": 1.4582056999206543,
|
952 |
+
"learning_rate": 4.8665941993181486e-05,
|
953 |
+
"loss": 6.0915,
|
954 |
+
"step": 540
|
955 |
+
},
|
956 |
+
{
|
957 |
+
"epoch": 0.03,
|
958 |
+
"grad_norm": 1.3734614849090576,
|
959 |
+
"learning_rate": 4.865606008201987e-05,
|
960 |
+
"loss": 6.2694,
|
961 |
+
"step": 544
|
962 |
+
},
|
963 |
+
{
|
964 |
+
"epoch": 0.03,
|
965 |
+
"grad_norm": 1.426127314567566,
|
966 |
+
"learning_rate": 4.864617817085825e-05,
|
967 |
+
"loss": 6.1274,
|
968 |
+
"step": 548
|
969 |
+
},
|
970 |
+
{
|
971 |
+
"epoch": 0.03,
|
972 |
+
"grad_norm": 1.3772287368774414,
|
973 |
+
"learning_rate": 4.863629625969663e-05,
|
974 |
+
"loss": 6.2704,
|
975 |
+
"step": 552
|
976 |
+
},
|
977 |
+
{
|
978 |
+
"epoch": 0.03,
|
979 |
+
"grad_norm": 1.2581090927124023,
|
980 |
+
"learning_rate": 4.862641434853501e-05,
|
981 |
+
"loss": 6.1335,
|
982 |
+
"step": 556
|
983 |
+
},
|
984 |
+
{
|
985 |
+
"epoch": 0.03,
|
986 |
+
"grad_norm": 1.1419745683670044,
|
987 |
+
"learning_rate": 4.861653243737339e-05,
|
988 |
+
"loss": 6.1259,
|
989 |
+
"step": 560
|
990 |
+
},
|
991 |
+
{
|
992 |
+
"epoch": 0.03,
|
993 |
+
"grad_norm": 1.2435179948806763,
|
994 |
+
"learning_rate": 4.860665052621177e-05,
|
995 |
+
"loss": 6.2289,
|
996 |
+
"step": 564
|
997 |
+
},
|
998 |
+
{
|
999 |
+
"epoch": 0.03,
|
1000 |
+
"grad_norm": 1.5236430168151855,
|
1001 |
+
"learning_rate": 4.859676861505015e-05,
|
1002 |
+
"loss": 6.0294,
|
1003 |
+
"step": 568
|
1004 |
+
},
|
1005 |
+
{
|
1006 |
+
"epoch": 0.03,
|
1007 |
+
"grad_norm": 2.289353370666504,
|
1008 |
+
"learning_rate": 4.8586886703888535e-05,
|
1009 |
+
"loss": 6.1533,
|
1010 |
+
"step": 572
|
1011 |
+
},
|
1012 |
+
{
|
1013 |
+
"epoch": 0.03,
|
1014 |
+
"grad_norm": 1.5420417785644531,
|
1015 |
+
"learning_rate": 4.857700479272692e-05,
|
1016 |
+
"loss": 6.155,
|
1017 |
+
"step": 576
|
1018 |
+
},
|
1019 |
+
{
|
1020 |
+
"epoch": 0.03,
|
1021 |
+
"grad_norm": 1.8614426851272583,
|
1022 |
+
"learning_rate": 4.85671228815653e-05,
|
1023 |
+
"loss": 6.2381,
|
1024 |
+
"step": 580
|
1025 |
+
},
|
1026 |
+
{
|
1027 |
+
"epoch": 0.03,
|
1028 |
+
"grad_norm": 1.405530571937561,
|
1029 |
+
"learning_rate": 4.8557240970403675e-05,
|
1030 |
+
"loss": 6.2005,
|
1031 |
+
"step": 584
|
1032 |
+
},
|
1033 |
+
{
|
1034 |
+
"epoch": 0.03,
|
1035 |
+
"grad_norm": 1.4058623313903809,
|
1036 |
+
"learning_rate": 4.854735905924206e-05,
|
1037 |
+
"loss": 6.1903,
|
1038 |
+
"step": 588
|
1039 |
+
},
|
1040 |
+
{
|
1041 |
+
"epoch": 0.03,
|
1042 |
+
"grad_norm": 1.7855048179626465,
|
1043 |
+
"learning_rate": 4.853747714808044e-05,
|
1044 |
+
"loss": 6.2939,
|
1045 |
+
"step": 592
|
1046 |
+
},
|
1047 |
+
{
|
1048 |
+
"epoch": 0.03,
|
1049 |
+
"grad_norm": 1.3504676818847656,
|
1050 |
+
"learning_rate": 4.852759523691882e-05,
|
1051 |
+
"loss": 6.0347,
|
1052 |
+
"step": 596
|
1053 |
+
},
|
1054 |
+
{
|
1055 |
+
"epoch": 0.03,
|
1056 |
+
"grad_norm": 1.3448097705841064,
|
1057 |
+
"learning_rate": 4.85177133257572e-05,
|
1058 |
+
"loss": 6.1058,
|
1059 |
+
"step": 600
|
1060 |
+
},
|
1061 |
+
{
|
1062 |
+
"epoch": 0.03,
|
1063 |
+
"grad_norm": 1.2908382415771484,
|
1064 |
+
"learning_rate": 4.8507831414595585e-05,
|
1065 |
+
"loss": 6.1323,
|
1066 |
+
"step": 604
|
1067 |
+
},
|
1068 |
+
{
|
1069 |
+
"epoch": 0.03,
|
1070 |
+
"grad_norm": 1.6946722269058228,
|
1071 |
+
"learning_rate": 4.849794950343397e-05,
|
1072 |
+
"loss": 6.0755,
|
1073 |
+
"step": 608
|
1074 |
+
},
|
1075 |
+
{
|
1076 |
+
"epoch": 0.03,
|
1077 |
+
"grad_norm": 1.0505646467208862,
|
1078 |
+
"learning_rate": 4.848806759227235e-05,
|
1079 |
+
"loss": 6.0742,
|
1080 |
+
"step": 612
|
1081 |
+
},
|
1082 |
+
{
|
1083 |
+
"epoch": 0.03,
|
1084 |
+
"grad_norm": 1.269295334815979,
|
1085 |
+
"learning_rate": 4.8478185681110724e-05,
|
1086 |
+
"loss": 6.2864,
|
1087 |
+
"step": 616
|
1088 |
+
},
|
1089 |
+
{
|
1090 |
+
"epoch": 0.03,
|
1091 |
+
"grad_norm": 1.3444817066192627,
|
1092 |
+
"learning_rate": 4.8468303769949107e-05,
|
1093 |
+
"loss": 6.1599,
|
1094 |
+
"step": 620
|
1095 |
+
},
|
1096 |
+
{
|
1097 |
+
"epoch": 0.03,
|
1098 |
+
"grad_norm": 1.5646265745162964,
|
1099 |
+
"learning_rate": 4.845842185878749e-05,
|
1100 |
+
"loss": 6.1745,
|
1101 |
+
"step": 624
|
1102 |
+
},
|
1103 |
+
{
|
1104 |
+
"epoch": 0.03,
|
1105 |
+
"grad_norm": 1.2452738285064697,
|
1106 |
+
"learning_rate": 4.844853994762587e-05,
|
1107 |
+
"loss": 6.1796,
|
1108 |
+
"step": 628
|
1109 |
+
},
|
1110 |
+
{
|
1111 |
+
"epoch": 0.03,
|
1112 |
+
"grad_norm": 1.9167345762252808,
|
1113 |
+
"learning_rate": 4.843865803646426e-05,
|
1114 |
+
"loss": 6.1854,
|
1115 |
+
"step": 632
|
1116 |
+
},
|
1117 |
+
{
|
1118 |
+
"epoch": 0.03,
|
1119 |
+
"grad_norm": 1.3464816808700562,
|
1120 |
+
"learning_rate": 4.842877612530264e-05,
|
1121 |
+
"loss": 6.1394,
|
1122 |
+
"step": 636
|
1123 |
+
},
|
1124 |
+
{
|
1125 |
+
"epoch": 0.03,
|
1126 |
+
"grad_norm": 1.5352030992507935,
|
1127 |
+
"learning_rate": 4.841889421414102e-05,
|
1128 |
+
"loss": 6.1579,
|
1129 |
+
"step": 640
|
1130 |
+
},
|
1131 |
+
{
|
1132 |
+
"epoch": 0.03,
|
1133 |
+
"grad_norm": 1.2066044807434082,
|
1134 |
+
"learning_rate": 4.84090123029794e-05,
|
1135 |
+
"loss": 6.1284,
|
1136 |
+
"step": 644
|
1137 |
+
},
|
1138 |
+
{
|
1139 |
+
"epoch": 0.03,
|
1140 |
+
"grad_norm": 1.3687278032302856,
|
1141 |
+
"learning_rate": 4.839913039181778e-05,
|
1142 |
+
"loss": 6.1768,
|
1143 |
+
"step": 648
|
1144 |
+
},
|
1145 |
+
{
|
1146 |
+
"epoch": 0.03,
|
1147 |
+
"grad_norm": 1.4037103652954102,
|
1148 |
+
"learning_rate": 4.838924848065616e-05,
|
1149 |
+
"loss": 6.0552,
|
1150 |
+
"step": 652
|
1151 |
+
},
|
1152 |
+
{
|
1153 |
+
"epoch": 0.03,
|
1154 |
+
"grad_norm": 1.8637155294418335,
|
1155 |
+
"learning_rate": 4.8379366569494545e-05,
|
1156 |
+
"loss": 6.126,
|
1157 |
+
"step": 656
|
1158 |
+
},
|
1159 |
+
{
|
1160 |
+
"epoch": 0.03,
|
1161 |
+
"grad_norm": 1.8843746185302734,
|
1162 |
+
"learning_rate": 4.836948465833293e-05,
|
1163 |
+
"loss": 6.1839,
|
1164 |
+
"step": 660
|
1165 |
+
},
|
1166 |
+
{
|
1167 |
+
"epoch": 0.03,
|
1168 |
+
"grad_norm": 1.2985315322875977,
|
1169 |
+
"learning_rate": 4.835960274717131e-05,
|
1170 |
+
"loss": 6.0767,
|
1171 |
+
"step": 664
|
1172 |
+
},
|
1173 |
+
{
|
1174 |
+
"epoch": 0.03,
|
1175 |
+
"grad_norm": 1.5230488777160645,
|
1176 |
+
"learning_rate": 4.8349720836009684e-05,
|
1177 |
+
"loss": 6.1762,
|
1178 |
+
"step": 668
|
1179 |
+
},
|
1180 |
+
{
|
1181 |
+
"epoch": 0.03,
|
1182 |
+
"grad_norm": 1.8898823261260986,
|
1183 |
+
"learning_rate": 4.8339838924848067e-05,
|
1184 |
+
"loss": 6.0165,
|
1185 |
+
"step": 672
|
1186 |
+
},
|
1187 |
+
{
|
1188 |
+
"epoch": 0.03,
|
1189 |
+
"grad_norm": 1.7203717231750488,
|
1190 |
+
"learning_rate": 4.832995701368645e-05,
|
1191 |
+
"loss": 6.1677,
|
1192 |
+
"step": 676
|
1193 |
+
},
|
1194 |
+
{
|
1195 |
+
"epoch": 0.03,
|
1196 |
+
"grad_norm": 1.478527307510376,
|
1197 |
+
"learning_rate": 4.832007510252483e-05,
|
1198 |
+
"loss": 6.2011,
|
1199 |
+
"step": 680
|
1200 |
+
},
|
1201 |
+
{
|
1202 |
+
"epoch": 0.03,
|
1203 |
+
"grad_norm": 1.2331160306930542,
|
1204 |
+
"learning_rate": 4.831019319136321e-05,
|
1205 |
+
"loss": 6.1311,
|
1206 |
+
"step": 684
|
1207 |
+
},
|
1208 |
+
{
|
1209 |
+
"epoch": 0.03,
|
1210 |
+
"grad_norm": 1.4134057760238647,
|
1211 |
+
"learning_rate": 4.8300311280201595e-05,
|
1212 |
+
"loss": 6.157,
|
1213 |
+
"step": 688
|
1214 |
+
},
|
1215 |
+
{
|
1216 |
+
"epoch": 0.03,
|
1217 |
+
"grad_norm": 1.2819682359695435,
|
1218 |
+
"learning_rate": 4.829042936903998e-05,
|
1219 |
+
"loss": 6.0408,
|
1220 |
+
"step": 692
|
1221 |
+
},
|
1222 |
+
{
|
1223 |
+
"epoch": 0.03,
|
1224 |
+
"grad_norm": 1.646480917930603,
|
1225 |
+
"learning_rate": 4.828054745787836e-05,
|
1226 |
+
"loss": 6.0527,
|
1227 |
+
"step": 696
|
1228 |
+
},
|
1229 |
+
{
|
1230 |
+
"epoch": 0.03,
|
1231 |
+
"grad_norm": 1.3179553747177124,
|
1232 |
+
"learning_rate": 4.8270665546716734e-05,
|
1233 |
+
"loss": 6.1771,
|
1234 |
+
"step": 700
|
1235 |
+
},
|
1236 |
+
{
|
1237 |
+
"epoch": 0.03,
|
1238 |
+
"grad_norm": 1.3149442672729492,
|
1239 |
+
"learning_rate": 4.8260783635555116e-05,
|
1240 |
+
"loss": 6.1106,
|
1241 |
+
"step": 704
|
1242 |
+
},
|
1243 |
+
{
|
1244 |
+
"epoch": 0.03,
|
1245 |
+
"grad_norm": 1.345340371131897,
|
1246 |
+
"learning_rate": 4.82509017243935e-05,
|
1247 |
+
"loss": 6.0963,
|
1248 |
+
"step": 708
|
1249 |
+
},
|
1250 |
+
{
|
1251 |
+
"epoch": 0.04,
|
1252 |
+
"grad_norm": 2.3398826122283936,
|
1253 |
+
"learning_rate": 4.824101981323188e-05,
|
1254 |
+
"loss": 6.075,
|
1255 |
+
"step": 712
|
1256 |
+
},
|
1257 |
+
{
|
1258 |
+
"epoch": 0.04,
|
1259 |
+
"grad_norm": 1.1765165328979492,
|
1260 |
+
"learning_rate": 4.823113790207026e-05,
|
1261 |
+
"loss": 6.1648,
|
1262 |
+
"step": 716
|
1263 |
+
},
|
1264 |
+
{
|
1265 |
+
"epoch": 0.04,
|
1266 |
+
"grad_norm": 1.5758169889450073,
|
1267 |
+
"learning_rate": 4.8221255990908645e-05,
|
1268 |
+
"loss": 6.206,
|
1269 |
+
"step": 720
|
1270 |
+
},
|
1271 |
+
{
|
1272 |
+
"epoch": 0.04,
|
1273 |
+
"grad_norm": 1.3040266036987305,
|
1274 |
+
"learning_rate": 4.8211374079747027e-05,
|
1275 |
+
"loss": 6.0651,
|
1276 |
+
"step": 724
|
1277 |
+
},
|
1278 |
+
{
|
1279 |
+
"epoch": 0.04,
|
1280 |
+
"grad_norm": 1.7494781017303467,
|
1281 |
+
"learning_rate": 4.82014921685854e-05,
|
1282 |
+
"loss": 6.0144,
|
1283 |
+
"step": 728
|
1284 |
+
},
|
1285 |
+
{
|
1286 |
+
"epoch": 0.04,
|
1287 |
+
"grad_norm": 1.5416646003723145,
|
1288 |
+
"learning_rate": 4.8191610257423784e-05,
|
1289 |
+
"loss": 6.2011,
|
1290 |
+
"step": 732
|
1291 |
+
},
|
1292 |
+
{
|
1293 |
+
"epoch": 0.04,
|
1294 |
+
"grad_norm": 1.3276399374008179,
|
1295 |
+
"learning_rate": 4.8181728346262166e-05,
|
1296 |
+
"loss": 6.2073,
|
1297 |
+
"step": 736
|
1298 |
+
},
|
1299 |
+
{
|
1300 |
+
"epoch": 0.04,
|
1301 |
+
"grad_norm": 1.3996212482452393,
|
1302 |
+
"learning_rate": 4.817184643510055e-05,
|
1303 |
+
"loss": 6.0768,
|
1304 |
+
"step": 740
|
1305 |
+
},
|
1306 |
+
{
|
1307 |
+
"epoch": 0.04,
|
1308 |
+
"grad_norm": 1.3483880758285522,
|
1309 |
+
"learning_rate": 4.816196452393893e-05,
|
1310 |
+
"loss": 5.9309,
|
1311 |
+
"step": 744
|
1312 |
+
},
|
1313 |
+
{
|
1314 |
+
"epoch": 0.04,
|
1315 |
+
"grad_norm": 1.1830189228057861,
|
1316 |
+
"learning_rate": 4.815208261277732e-05,
|
1317 |
+
"loss": 6.0258,
|
1318 |
+
"step": 748
|
1319 |
+
},
|
1320 |
+
{
|
1321 |
+
"epoch": 0.04,
|
1322 |
+
"grad_norm": 1.3837305307388306,
|
1323 |
+
"learning_rate": 4.8142200701615694e-05,
|
1324 |
+
"loss": 6.0004,
|
1325 |
+
"step": 752
|
1326 |
+
},
|
1327 |
+
{
|
1328 |
+
"epoch": 0.04,
|
1329 |
+
"grad_norm": 1.1996792554855347,
|
1330 |
+
"learning_rate": 4.8132318790454076e-05,
|
1331 |
+
"loss": 6.067,
|
1332 |
+
"step": 756
|
1333 |
+
},
|
1334 |
+
{
|
1335 |
+
"epoch": 0.04,
|
1336 |
+
"grad_norm": 1.6578378677368164,
|
1337 |
+
"learning_rate": 4.812243687929246e-05,
|
1338 |
+
"loss": 6.1112,
|
1339 |
+
"step": 760
|
1340 |
+
},
|
1341 |
+
{
|
1342 |
+
"epoch": 0.04,
|
1343 |
+
"grad_norm": 1.732629418373108,
|
1344 |
+
"learning_rate": 4.811255496813084e-05,
|
1345 |
+
"loss": 6.0361,
|
1346 |
+
"step": 764
|
1347 |
+
},
|
1348 |
+
{
|
1349 |
+
"epoch": 0.04,
|
1350 |
+
"grad_norm": 1.3690398931503296,
|
1351 |
+
"learning_rate": 4.810267305696922e-05,
|
1352 |
+
"loss": 6.0105,
|
1353 |
+
"step": 768
|
1354 |
+
},
|
1355 |
+
{
|
1356 |
+
"epoch": 0.04,
|
1357 |
+
"grad_norm": 1.551343560218811,
|
1358 |
+
"learning_rate": 4.8092791145807605e-05,
|
1359 |
+
"loss": 5.9922,
|
1360 |
+
"step": 772
|
1361 |
+
},
|
1362 |
+
{
|
1363 |
+
"epoch": 0.04,
|
1364 |
+
"grad_norm": 1.222483515739441,
|
1365 |
+
"learning_rate": 4.8082909234645987e-05,
|
1366 |
+
"loss": 6.1032,
|
1367 |
+
"step": 776
|
1368 |
+
},
|
1369 |
+
{
|
1370 |
+
"epoch": 0.04,
|
1371 |
+
"grad_norm": 1.4626158475875854,
|
1372 |
+
"learning_rate": 4.807302732348437e-05,
|
1373 |
+
"loss": 6.2455,
|
1374 |
+
"step": 780
|
1375 |
+
},
|
1376 |
+
{
|
1377 |
+
"epoch": 0.04,
|
1378 |
+
"grad_norm": 1.4593418836593628,
|
1379 |
+
"learning_rate": 4.8063145412322744e-05,
|
1380 |
+
"loss": 6.104,
|
1381 |
+
"step": 784
|
1382 |
+
},
|
1383 |
+
{
|
1384 |
+
"epoch": 0.04,
|
1385 |
+
"grad_norm": 1.4751644134521484,
|
1386 |
+
"learning_rate": 4.8053263501161126e-05,
|
1387 |
+
"loss": 6.0467,
|
1388 |
+
"step": 788
|
1389 |
+
},
|
1390 |
+
{
|
1391 |
+
"epoch": 0.04,
|
1392 |
+
"grad_norm": 1.25166916847229,
|
1393 |
+
"learning_rate": 4.804338158999951e-05,
|
1394 |
+
"loss": 6.0525,
|
1395 |
+
"step": 792
|
1396 |
+
},
|
1397 |
+
{
|
1398 |
+
"epoch": 0.04,
|
1399 |
+
"grad_norm": 1.3588769435882568,
|
1400 |
+
"learning_rate": 4.803349967883789e-05,
|
1401 |
+
"loss": 6.1355,
|
1402 |
+
"step": 796
|
1403 |
+
},
|
1404 |
+
{
|
1405 |
+
"epoch": 0.04,
|
1406 |
+
"grad_norm": 1.2559925317764282,
|
1407 |
+
"learning_rate": 4.802361776767627e-05,
|
1408 |
+
"loss": 6.3282,
|
1409 |
+
"step": 800
|
1410 |
+
},
|
1411 |
+
{
|
1412 |
+
"epoch": 0.04,
|
1413 |
+
"grad_norm": 1.3895193338394165,
|
1414 |
+
"learning_rate": 4.8013735856514654e-05,
|
1415 |
+
"loss": 6.0936,
|
1416 |
+
"step": 804
|
1417 |
+
},
|
1418 |
+
{
|
1419 |
+
"epoch": 0.04,
|
1420 |
+
"grad_norm": 1.691657543182373,
|
1421 |
+
"learning_rate": 4.8003853945353036e-05,
|
1422 |
+
"loss": 6.1079,
|
1423 |
+
"step": 808
|
1424 |
+
},
|
1425 |
+
{
|
1426 |
+
"epoch": 0.04,
|
1427 |
+
"grad_norm": 1.3020676374435425,
|
1428 |
+
"learning_rate": 4.799397203419141e-05,
|
1429 |
+
"loss": 6.0076,
|
1430 |
+
"step": 812
|
1431 |
+
},
|
1432 |
+
{
|
1433 |
+
"epoch": 0.04,
|
1434 |
+
"grad_norm": 1.306980848312378,
|
1435 |
+
"learning_rate": 4.7984090123029794e-05,
|
1436 |
+
"loss": 6.1308,
|
1437 |
+
"step": 816
|
1438 |
+
},
|
1439 |
+
{
|
1440 |
+
"epoch": 0.04,
|
1441 |
+
"grad_norm": 1.3331334590911865,
|
1442 |
+
"learning_rate": 4.7974208211868176e-05,
|
1443 |
+
"loss": 6.0901,
|
1444 |
+
"step": 820
|
1445 |
+
},
|
1446 |
+
{
|
1447 |
+
"epoch": 0.04,
|
1448 |
+
"grad_norm": 1.2504887580871582,
|
1449 |
+
"learning_rate": 4.796432630070656e-05,
|
1450 |
+
"loss": 6.1079,
|
1451 |
+
"step": 824
|
1452 |
+
},
|
1453 |
+
{
|
1454 |
+
"epoch": 0.04,
|
1455 |
+
"grad_norm": 1.462392807006836,
|
1456 |
+
"learning_rate": 4.795444438954494e-05,
|
1457 |
+
"loss": 6.0692,
|
1458 |
+
"step": 828
|
1459 |
+
},
|
1460 |
+
{
|
1461 |
+
"epoch": 0.04,
|
1462 |
+
"grad_norm": 1.281559944152832,
|
1463 |
+
"learning_rate": 4.794456247838332e-05,
|
1464 |
+
"loss": 6.0399,
|
1465 |
+
"step": 832
|
1466 |
+
},
|
1467 |
+
{
|
1468 |
+
"epoch": 0.04,
|
1469 |
+
"grad_norm": 1.2926335334777832,
|
1470 |
+
"learning_rate": 4.7934680567221704e-05,
|
1471 |
+
"loss": 6.0005,
|
1472 |
+
"step": 836
|
1473 |
+
},
|
1474 |
+
{
|
1475 |
+
"epoch": 0.04,
|
1476 |
+
"grad_norm": 1.5699244737625122,
|
1477 |
+
"learning_rate": 4.792479865606008e-05,
|
1478 |
+
"loss": 5.9845,
|
1479 |
+
"step": 840
|
1480 |
+
},
|
1481 |
+
{
|
1482 |
+
"epoch": 0.04,
|
1483 |
+
"grad_norm": 1.491740345954895,
|
1484 |
+
"learning_rate": 4.791491674489846e-05,
|
1485 |
+
"loss": 6.015,
|
1486 |
+
"step": 844
|
1487 |
+
},
|
1488 |
+
{
|
1489 |
+
"epoch": 0.04,
|
1490 |
+
"grad_norm": 1.3208236694335938,
|
1491 |
+
"learning_rate": 4.790503483373684e-05,
|
1492 |
+
"loss": 6.0501,
|
1493 |
+
"step": 848
|
1494 |
+
},
|
1495 |
+
{
|
1496 |
+
"epoch": 0.04,
|
1497 |
+
"grad_norm": 1.5497496128082275,
|
1498 |
+
"learning_rate": 4.7895152922575225e-05,
|
1499 |
+
"loss": 6.105,
|
1500 |
+
"step": 852
|
1501 |
+
},
|
1502 |
+
{
|
1503 |
+
"epoch": 0.04,
|
1504 |
+
"grad_norm": 1.3851691484451294,
|
1505 |
+
"learning_rate": 4.788527101141361e-05,
|
1506 |
+
"loss": 6.1256,
|
1507 |
+
"step": 856
|
1508 |
+
},
|
1509 |
+
{
|
1510 |
+
"epoch": 0.04,
|
1511 |
+
"grad_norm": 1.506717324256897,
|
1512 |
+
"learning_rate": 4.787538910025199e-05,
|
1513 |
+
"loss": 5.9827,
|
1514 |
+
"step": 860
|
1515 |
+
},
|
1516 |
+
{
|
1517 |
+
"epoch": 0.04,
|
1518 |
+
"grad_norm": 1.2789814472198486,
|
1519 |
+
"learning_rate": 4.786550718909038e-05,
|
1520 |
+
"loss": 6.0632,
|
1521 |
+
"step": 864
|
1522 |
+
},
|
1523 |
+
{
|
1524 |
+
"epoch": 0.04,
|
1525 |
+
"grad_norm": 1.2237069606781006,
|
1526 |
+
"learning_rate": 4.7855625277928754e-05,
|
1527 |
+
"loss": 6.0908,
|
1528 |
+
"step": 868
|
1529 |
+
},
|
1530 |
+
{
|
1531 |
+
"epoch": 0.04,
|
1532 |
+
"grad_norm": 1.2778388261795044,
|
1533 |
+
"learning_rate": 4.7845743366767136e-05,
|
1534 |
+
"loss": 6.0442,
|
1535 |
+
"step": 872
|
1536 |
+
},
|
1537 |
+
{
|
1538 |
+
"epoch": 0.04,
|
1539 |
+
"grad_norm": 1.534972071647644,
|
1540 |
+
"learning_rate": 4.783586145560552e-05,
|
1541 |
+
"loss": 6.1035,
|
1542 |
+
"step": 876
|
1543 |
+
},
|
1544 |
+
{
|
1545 |
+
"epoch": 0.04,
|
1546 |
+
"grad_norm": 1.4843637943267822,
|
1547 |
+
"learning_rate": 4.78259795444439e-05,
|
1548 |
+
"loss": 6.0233,
|
1549 |
+
"step": 880
|
1550 |
+
},
|
1551 |
+
{
|
1552 |
+
"epoch": 0.04,
|
1553 |
+
"grad_norm": 1.4751485586166382,
|
1554 |
+
"learning_rate": 4.781609763328228e-05,
|
1555 |
+
"loss": 6.109,
|
1556 |
+
"step": 884
|
1557 |
+
},
|
1558 |
+
{
|
1559 |
+
"epoch": 0.04,
|
1560 |
+
"grad_norm": 1.399499535560608,
|
1561 |
+
"learning_rate": 4.7806215722120664e-05,
|
1562 |
+
"loss": 6.0075,
|
1563 |
+
"step": 888
|
1564 |
+
},
|
1565 |
+
{
|
1566 |
+
"epoch": 0.04,
|
1567 |
+
"grad_norm": 1.5269832611083984,
|
1568 |
+
"learning_rate": 4.7796333810959046e-05,
|
1569 |
+
"loss": 6.1387,
|
1570 |
+
"step": 892
|
1571 |
+
},
|
1572 |
+
{
|
1573 |
+
"epoch": 0.04,
|
1574 |
+
"grad_norm": 1.342552661895752,
|
1575 |
+
"learning_rate": 4.778645189979742e-05,
|
1576 |
+
"loss": 6.0763,
|
1577 |
+
"step": 896
|
1578 |
+
},
|
1579 |
+
{
|
1580 |
+
"epoch": 0.04,
|
1581 |
+
"grad_norm": 1.2727460861206055,
|
1582 |
+
"learning_rate": 4.77765699886358e-05,
|
1583 |
+
"loss": 5.9279,
|
1584 |
+
"step": 900
|
1585 |
+
},
|
1586 |
+
{
|
1587 |
+
"epoch": 0.04,
|
1588 |
+
"grad_norm": 1.3465628623962402,
|
1589 |
+
"learning_rate": 4.7766688077474185e-05,
|
1590 |
+
"loss": 6.0226,
|
1591 |
+
"step": 904
|
1592 |
+
},
|
1593 |
+
{
|
1594 |
+
"epoch": 0.04,
|
1595 |
+
"grad_norm": 1.288557767868042,
|
1596 |
+
"learning_rate": 4.775680616631257e-05,
|
1597 |
+
"loss": 6.0799,
|
1598 |
+
"step": 908
|
1599 |
+
},
|
1600 |
+
{
|
1601 |
+
"epoch": 0.05,
|
1602 |
+
"grad_norm": 1.375345230102539,
|
1603 |
+
"learning_rate": 4.774692425515095e-05,
|
1604 |
+
"loss": 6.0868,
|
1605 |
+
"step": 912
|
1606 |
+
},
|
1607 |
+
{
|
1608 |
+
"epoch": 0.05,
|
1609 |
+
"grad_norm": 1.440955638885498,
|
1610 |
+
"learning_rate": 4.773704234398933e-05,
|
1611 |
+
"loss": 5.9835,
|
1612 |
+
"step": 916
|
1613 |
+
},
|
1614 |
+
{
|
1615 |
+
"epoch": 0.05,
|
1616 |
+
"grad_norm": 1.3870395421981812,
|
1617 |
+
"learning_rate": 4.7727160432827714e-05,
|
1618 |
+
"loss": 6.0711,
|
1619 |
+
"step": 920
|
1620 |
+
},
|
1621 |
+
{
|
1622 |
+
"epoch": 0.05,
|
1623 |
+
"grad_norm": 1.4793189764022827,
|
1624 |
+
"learning_rate": 4.771727852166609e-05,
|
1625 |
+
"loss": 6.1001,
|
1626 |
+
"step": 924
|
1627 |
+
},
|
1628 |
+
{
|
1629 |
+
"epoch": 0.05,
|
1630 |
+
"grad_norm": 1.2727391719818115,
|
1631 |
+
"learning_rate": 4.770739661050447e-05,
|
1632 |
+
"loss": 6.0782,
|
1633 |
+
"step": 928
|
1634 |
+
},
|
1635 |
+
{
|
1636 |
+
"epoch": 0.05,
|
1637 |
+
"grad_norm": 1.3459304571151733,
|
1638 |
+
"learning_rate": 4.769751469934285e-05,
|
1639 |
+
"loss": 5.9659,
|
1640 |
+
"step": 932
|
1641 |
+
},
|
1642 |
+
{
|
1643 |
+
"epoch": 0.05,
|
1644 |
+
"grad_norm": 1.6304296255111694,
|
1645 |
+
"learning_rate": 4.7687632788181235e-05,
|
1646 |
+
"loss": 6.0666,
|
1647 |
+
"step": 936
|
1648 |
+
},
|
1649 |
+
{
|
1650 |
+
"epoch": 0.05,
|
1651 |
+
"grad_norm": 1.721566081047058,
|
1652 |
+
"learning_rate": 4.767775087701962e-05,
|
1653 |
+
"loss": 6.0233,
|
1654 |
+
"step": 940
|
1655 |
+
},
|
1656 |
+
{
|
1657 |
+
"epoch": 0.05,
|
1658 |
+
"grad_norm": 1.486752986907959,
|
1659 |
+
"learning_rate": 4.7667868965858e-05,
|
1660 |
+
"loss": 6.0544,
|
1661 |
+
"step": 944
|
1662 |
+
},
|
1663 |
+
{
|
1664 |
+
"epoch": 0.05,
|
1665 |
+
"grad_norm": 1.404415488243103,
|
1666 |
+
"learning_rate": 4.765798705469638e-05,
|
1667 |
+
"loss": 5.8913,
|
1668 |
+
"step": 948
|
1669 |
+
},
|
1670 |
+
{
|
1671 |
+
"epoch": 0.05,
|
1672 |
+
"grad_norm": 1.550802230834961,
|
1673 |
+
"learning_rate": 4.764810514353476e-05,
|
1674 |
+
"loss": 6.0449,
|
1675 |
+
"step": 952
|
1676 |
+
},
|
1677 |
+
{
|
1678 |
+
"epoch": 0.05,
|
1679 |
+
"grad_norm": 1.5222808122634888,
|
1680 |
+
"learning_rate": 4.763822323237314e-05,
|
1681 |
+
"loss": 6.1524,
|
1682 |
+
"step": 956
|
1683 |
+
},
|
1684 |
+
{
|
1685 |
+
"epoch": 0.05,
|
1686 |
+
"grad_norm": 1.2582489252090454,
|
1687 |
+
"learning_rate": 4.762834132121152e-05,
|
1688 |
+
"loss": 6.09,
|
1689 |
+
"step": 960
|
1690 |
+
},
|
1691 |
+
{
|
1692 |
+
"epoch": 0.05,
|
1693 |
+
"grad_norm": 1.5326069593429565,
|
1694 |
+
"learning_rate": 4.76184594100499e-05,
|
1695 |
+
"loss": 6.0265,
|
1696 |
+
"step": 964
|
1697 |
+
},
|
1698 |
+
{
|
1699 |
+
"epoch": 0.05,
|
1700 |
+
"grad_norm": 1.5986106395721436,
|
1701 |
+
"learning_rate": 4.7608577498888285e-05,
|
1702 |
+
"loss": 6.1111,
|
1703 |
+
"step": 968
|
1704 |
+
},
|
1705 |
+
{
|
1706 |
+
"epoch": 0.05,
|
1707 |
+
"grad_norm": 1.2689043283462524,
|
1708 |
+
"learning_rate": 4.759869558772667e-05,
|
1709 |
+
"loss": 6.0827,
|
1710 |
+
"step": 972
|
1711 |
+
},
|
1712 |
+
{
|
1713 |
+
"epoch": 0.05,
|
1714 |
+
"grad_norm": 1.2669328451156616,
|
1715 |
+
"learning_rate": 4.758881367656505e-05,
|
1716 |
+
"loss": 6.1393,
|
1717 |
+
"step": 976
|
1718 |
+
},
|
1719 |
+
{
|
1720 |
+
"epoch": 0.05,
|
1721 |
+
"grad_norm": 1.2476458549499512,
|
1722 |
+
"learning_rate": 4.757893176540343e-05,
|
1723 |
+
"loss": 6.0072,
|
1724 |
+
"step": 980
|
1725 |
+
},
|
1726 |
+
{
|
1727 |
+
"epoch": 0.05,
|
1728 |
+
"grad_norm": 1.4797428846359253,
|
1729 |
+
"learning_rate": 4.756904985424181e-05,
|
1730 |
+
"loss": 6.0025,
|
1731 |
+
"step": 984
|
1732 |
+
},
|
1733 |
+
{
|
1734 |
+
"epoch": 0.05,
|
1735 |
+
"grad_norm": 1.9927531480789185,
|
1736 |
+
"learning_rate": 4.7559167943080195e-05,
|
1737 |
+
"loss": 6.087,
|
1738 |
+
"step": 988
|
1739 |
+
},
|
1740 |
+
{
|
1741 |
+
"epoch": 0.05,
|
1742 |
+
"grad_norm": 1.6228762865066528,
|
1743 |
+
"learning_rate": 4.754928603191858e-05,
|
1744 |
+
"loss": 6.0355,
|
1745 |
+
"step": 992
|
1746 |
+
},
|
1747 |
+
{
|
1748 |
+
"epoch": 0.05,
|
1749 |
+
"grad_norm": 1.5881098508834839,
|
1750 |
+
"learning_rate": 4.753940412075696e-05,
|
1751 |
+
"loss": 6.0462,
|
1752 |
+
"step": 996
|
1753 |
+
},
|
1754 |
+
{
|
1755 |
+
"epoch": 0.05,
|
1756 |
+
"grad_norm": 1.944541335105896,
|
1757 |
+
"learning_rate": 4.752952220959534e-05,
|
1758 |
+
"loss": 6.1294,
|
1759 |
+
"step": 1000
|
1760 |
+
},
|
1761 |
+
{
|
1762 |
+
"epoch": 0.05,
|
1763 |
+
"grad_norm": 1.6126629114151,
|
1764 |
+
"learning_rate": 4.751964029843372e-05,
|
1765 |
+
"loss": 6.1586,
|
1766 |
+
"step": 1004
|
1767 |
+
},
|
1768 |
+
{
|
1769 |
+
"epoch": 0.05,
|
1770 |
+
"grad_norm": 1.4057198762893677,
|
1771 |
+
"learning_rate": 4.75097583872721e-05,
|
1772 |
+
"loss": 6.24,
|
1773 |
+
"step": 1008
|
1774 |
+
},
|
1775 |
+
{
|
1776 |
+
"epoch": 0.05,
|
1777 |
+
"grad_norm": 1.3622597455978394,
|
1778 |
+
"learning_rate": 4.749987647611048e-05,
|
1779 |
+
"loss": 5.9785,
|
1780 |
+
"step": 1012
|
1781 |
+
},
|
1782 |
+
{
|
1783 |
+
"epoch": 0.05,
|
1784 |
+
"grad_norm": 1.3643813133239746,
|
1785 |
+
"learning_rate": 4.748999456494886e-05,
|
1786 |
+
"loss": 6.0392,
|
1787 |
+
"step": 1016
|
1788 |
+
},
|
1789 |
+
{
|
1790 |
+
"epoch": 0.05,
|
1791 |
+
"grad_norm": 1.793847918510437,
|
1792 |
+
"learning_rate": 4.7480112653787245e-05,
|
1793 |
+
"loss": 5.9712,
|
1794 |
+
"step": 1020
|
1795 |
+
},
|
1796 |
+
{
|
1797 |
+
"epoch": 0.05,
|
1798 |
+
"grad_norm": 1.4792604446411133,
|
1799 |
+
"learning_rate": 4.747023074262563e-05,
|
1800 |
+
"loss": 6.0705,
|
1801 |
+
"step": 1024
|
1802 |
+
},
|
1803 |
+
{
|
1804 |
+
"epoch": 0.05,
|
1805 |
+
"grad_norm": 1.35064697265625,
|
1806 |
+
"learning_rate": 4.746034883146401e-05,
|
1807 |
+
"loss": 6.0608,
|
1808 |
+
"step": 1028
|
1809 |
+
},
|
1810 |
+
{
|
1811 |
+
"epoch": 0.05,
|
1812 |
+
"grad_norm": 1.3092408180236816,
|
1813 |
+
"learning_rate": 4.745046692030239e-05,
|
1814 |
+
"loss": 5.885,
|
1815 |
+
"step": 1032
|
1816 |
+
},
|
1817 |
+
{
|
1818 |
+
"epoch": 0.05,
|
1819 |
+
"grad_norm": 1.560230016708374,
|
1820 |
+
"learning_rate": 4.744058500914077e-05,
|
1821 |
+
"loss": 6.1149,
|
1822 |
+
"step": 1036
|
1823 |
+
},
|
1824 |
+
{
|
1825 |
+
"epoch": 0.05,
|
1826 |
+
"grad_norm": 1.5619248151779175,
|
1827 |
+
"learning_rate": 4.743070309797915e-05,
|
1828 |
+
"loss": 6.1887,
|
1829 |
+
"step": 1040
|
1830 |
+
},
|
1831 |
+
{
|
1832 |
+
"epoch": 0.05,
|
1833 |
+
"grad_norm": 1.4519466161727905,
|
1834 |
+
"learning_rate": 4.742082118681753e-05,
|
1835 |
+
"loss": 6.0853,
|
1836 |
+
"step": 1044
|
1837 |
+
},
|
1838 |
+
{
|
1839 |
+
"epoch": 0.05,
|
1840 |
+
"grad_norm": 1.4475151300430298,
|
1841 |
+
"learning_rate": 4.741093927565591e-05,
|
1842 |
+
"loss": 6.0921,
|
1843 |
+
"step": 1048
|
1844 |
+
},
|
1845 |
+
{
|
1846 |
+
"epoch": 0.05,
|
1847 |
+
"grad_norm": 1.2523047924041748,
|
1848 |
+
"learning_rate": 4.7401057364494295e-05,
|
1849 |
+
"loss": 6.1132,
|
1850 |
+
"step": 1052
|
1851 |
+
},
|
1852 |
+
{
|
1853 |
+
"epoch": 0.05,
|
1854 |
+
"grad_norm": 1.2426884174346924,
|
1855 |
+
"learning_rate": 4.7391175453332677e-05,
|
1856 |
+
"loss": 5.9939,
|
1857 |
+
"step": 1056
|
1858 |
+
},
|
1859 |
+
{
|
1860 |
+
"epoch": 0.05,
|
1861 |
+
"grad_norm": 1.4118828773498535,
|
1862 |
+
"learning_rate": 4.738129354217106e-05,
|
1863 |
+
"loss": 6.082,
|
1864 |
+
"step": 1060
|
1865 |
+
},
|
1866 |
+
{
|
1867 |
+
"epoch": 0.05,
|
1868 |
+
"grad_norm": 1.6150298118591309,
|
1869 |
+
"learning_rate": 4.737141163100944e-05,
|
1870 |
+
"loss": 6.0342,
|
1871 |
+
"step": 1064
|
1872 |
+
},
|
1873 |
+
{
|
1874 |
+
"epoch": 0.05,
|
1875 |
+
"grad_norm": 1.3286446332931519,
|
1876 |
+
"learning_rate": 4.7361529719847816e-05,
|
1877 |
+
"loss": 5.9456,
|
1878 |
+
"step": 1068
|
1879 |
+
},
|
1880 |
+
{
|
1881 |
+
"epoch": 0.05,
|
1882 |
+
"grad_norm": 1.4334193468093872,
|
1883 |
+
"learning_rate": 4.73516478086862e-05,
|
1884 |
+
"loss": 5.9225,
|
1885 |
+
"step": 1072
|
1886 |
+
},
|
1887 |
+
{
|
1888 |
+
"epoch": 0.05,
|
1889 |
+
"grad_norm": 1.2666079998016357,
|
1890 |
+
"learning_rate": 4.734176589752458e-05,
|
1891 |
+
"loss": 6.0389,
|
1892 |
+
"step": 1076
|
1893 |
+
},
|
1894 |
+
{
|
1895 |
+
"epoch": 0.05,
|
1896 |
+
"grad_norm": 1.2868504524230957,
|
1897 |
+
"learning_rate": 4.733188398636296e-05,
|
1898 |
+
"loss": 6.0719,
|
1899 |
+
"step": 1080
|
1900 |
+
},
|
1901 |
+
{
|
1902 |
+
"epoch": 0.05,
|
1903 |
+
"grad_norm": 1.7467691898345947,
|
1904 |
+
"learning_rate": 4.7322002075201344e-05,
|
1905 |
+
"loss": 5.9916,
|
1906 |
+
"step": 1084
|
1907 |
+
},
|
1908 |
+
{
|
1909 |
+
"epoch": 0.05,
|
1910 |
+
"grad_norm": 1.4924054145812988,
|
1911 |
+
"learning_rate": 4.7312120164039726e-05,
|
1912 |
+
"loss": 5.9197,
|
1913 |
+
"step": 1088
|
1914 |
+
},
|
1915 |
+
{
|
1916 |
+
"epoch": 0.05,
|
1917 |
+
"grad_norm": 1.1824862957000732,
|
1918 |
+
"learning_rate": 4.730223825287811e-05,
|
1919 |
+
"loss": 5.9122,
|
1920 |
+
"step": 1092
|
1921 |
+
},
|
1922 |
+
{
|
1923 |
+
"epoch": 0.05,
|
1924 |
+
"grad_norm": 1.435604214668274,
|
1925 |
+
"learning_rate": 4.729235634171649e-05,
|
1926 |
+
"loss": 6.1722,
|
1927 |
+
"step": 1096
|
1928 |
+
},
|
1929 |
+
{
|
1930 |
+
"epoch": 0.05,
|
1931 |
+
"grad_norm": 1.6537317037582397,
|
1932 |
+
"learning_rate": 4.728247443055487e-05,
|
1933 |
+
"loss": 6.0557,
|
1934 |
+
"step": 1100
|
1935 |
+
},
|
1936 |
+
{
|
1937 |
+
"epoch": 0.05,
|
1938 |
+
"grad_norm": 1.237634539604187,
|
1939 |
+
"learning_rate": 4.7272592519393255e-05,
|
1940 |
+
"loss": 6.1475,
|
1941 |
+
"step": 1104
|
1942 |
+
},
|
1943 |
+
{
|
1944 |
+
"epoch": 0.05,
|
1945 |
+
"grad_norm": 1.2861469984054565,
|
1946 |
+
"learning_rate": 4.7262710608231637e-05,
|
1947 |
+
"loss": 6.0261,
|
1948 |
+
"step": 1108
|
1949 |
+
},
|
1950 |
+
{
|
1951 |
+
"epoch": 0.05,
|
1952 |
+
"grad_norm": 1.3722236156463623,
|
1953 |
+
"learning_rate": 4.725282869707002e-05,
|
1954 |
+
"loss": 5.9994,
|
1955 |
+
"step": 1112
|
1956 |
+
},
|
1957 |
+
{
|
1958 |
+
"epoch": 0.06,
|
1959 |
+
"grad_norm": 1.4114540815353394,
|
1960 |
+
"learning_rate": 4.72429467859084e-05,
|
1961 |
+
"loss": 5.923,
|
1962 |
+
"step": 1116
|
1963 |
+
},
|
1964 |
+
{
|
1965 |
+
"epoch": 0.06,
|
1966 |
+
"grad_norm": 1.572077751159668,
|
1967 |
+
"learning_rate": 4.723306487474678e-05,
|
1968 |
+
"loss": 5.9886,
|
1969 |
+
"step": 1120
|
1970 |
+
},
|
1971 |
+
{
|
1972 |
+
"epoch": 0.06,
|
1973 |
+
"grad_norm": 1.971572995185852,
|
1974 |
+
"learning_rate": 4.722318296358516e-05,
|
1975 |
+
"loss": 6.0632,
|
1976 |
+
"step": 1124
|
1977 |
+
},
|
1978 |
+
{
|
1979 |
+
"epoch": 0.06,
|
1980 |
+
"grad_norm": 2.1920833587646484,
|
1981 |
+
"learning_rate": 4.721330105242354e-05,
|
1982 |
+
"loss": 6.066,
|
1983 |
+
"step": 1128
|
1984 |
+
},
|
1985 |
+
{
|
1986 |
+
"epoch": 0.06,
|
1987 |
+
"grad_norm": 1.6061211824417114,
|
1988 |
+
"learning_rate": 4.720341914126192e-05,
|
1989 |
+
"loss": 5.9523,
|
1990 |
+
"step": 1132
|
1991 |
+
},
|
1992 |
+
{
|
1993 |
+
"epoch": 0.06,
|
1994 |
+
"grad_norm": 1.617601990699768,
|
1995 |
+
"learning_rate": 4.7193537230100304e-05,
|
1996 |
+
"loss": 6.0579,
|
1997 |
+
"step": 1136
|
1998 |
+
},
|
1999 |
+
{
|
2000 |
+
"epoch": 0.06,
|
2001 |
+
"grad_norm": 1.674851655960083,
|
2002 |
+
"learning_rate": 4.7183655318938686e-05,
|
2003 |
+
"loss": 5.869,
|
2004 |
+
"step": 1140
|
2005 |
+
},
|
2006 |
+
{
|
2007 |
+
"epoch": 0.06,
|
2008 |
+
"grad_norm": 1.6465020179748535,
|
2009 |
+
"learning_rate": 4.717377340777707e-05,
|
2010 |
+
"loss": 5.9525,
|
2011 |
+
"step": 1144
|
2012 |
+
},
|
2013 |
+
{
|
2014 |
+
"epoch": 0.06,
|
2015 |
+
"grad_norm": 1.4357322454452515,
|
2016 |
+
"learning_rate": 4.716389149661545e-05,
|
2017 |
+
"loss": 5.8798,
|
2018 |
+
"step": 1148
|
2019 |
+
},
|
2020 |
+
{
|
2021 |
+
"epoch": 0.06,
|
2022 |
+
"grad_norm": 1.319442868232727,
|
2023 |
+
"learning_rate": 4.7154009585453826e-05,
|
2024 |
+
"loss": 6.0924,
|
2025 |
+
"step": 1152
|
2026 |
+
},
|
2027 |
+
{
|
2028 |
+
"epoch": 0.06,
|
2029 |
+
"grad_norm": 1.7044557332992554,
|
2030 |
+
"learning_rate": 4.714412767429221e-05,
|
2031 |
+
"loss": 6.0367,
|
2032 |
+
"step": 1156
|
2033 |
+
},
|
2034 |
+
{
|
2035 |
+
"epoch": 0.06,
|
2036 |
+
"grad_norm": 1.6891183853149414,
|
2037 |
+
"learning_rate": 4.713424576313059e-05,
|
2038 |
+
"loss": 5.9983,
|
2039 |
+
"step": 1160
|
2040 |
+
},
|
2041 |
+
{
|
2042 |
+
"epoch": 0.06,
|
2043 |
+
"grad_norm": 1.340993046760559,
|
2044 |
+
"learning_rate": 4.712436385196897e-05,
|
2045 |
+
"loss": 6.0353,
|
2046 |
+
"step": 1164
|
2047 |
+
},
|
2048 |
+
{
|
2049 |
+
"epoch": 0.06,
|
2050 |
+
"grad_norm": 1.3144937753677368,
|
2051 |
+
"learning_rate": 4.7114481940807354e-05,
|
2052 |
+
"loss": 5.9603,
|
2053 |
+
"step": 1168
|
2054 |
+
},
|
2055 |
+
{
|
2056 |
+
"epoch": 0.06,
|
2057 |
+
"grad_norm": 1.9154691696166992,
|
2058 |
+
"learning_rate": 4.7104600029645736e-05,
|
2059 |
+
"loss": 6.057,
|
2060 |
+
"step": 1172
|
2061 |
+
},
|
2062 |
+
{
|
2063 |
+
"epoch": 0.06,
|
2064 |
+
"grad_norm": 1.2976912260055542,
|
2065 |
+
"learning_rate": 4.709471811848412e-05,
|
2066 |
+
"loss": 5.992,
|
2067 |
+
"step": 1176
|
2068 |
+
},
|
2069 |
+
{
|
2070 |
+
"epoch": 0.06,
|
2071 |
+
"grad_norm": 1.4527958631515503,
|
2072 |
+
"learning_rate": 4.70848362073225e-05,
|
2073 |
+
"loss": 5.9253,
|
2074 |
+
"step": 1180
|
2075 |
+
},
|
2076 |
+
{
|
2077 |
+
"epoch": 0.06,
|
2078 |
+
"grad_norm": 1.6319037675857544,
|
2079 |
+
"learning_rate": 4.7074954296160875e-05,
|
2080 |
+
"loss": 6.1028,
|
2081 |
+
"step": 1184
|
2082 |
+
},
|
2083 |
+
{
|
2084 |
+
"epoch": 0.06,
|
2085 |
+
"grad_norm": 1.7407358884811401,
|
2086 |
+
"learning_rate": 4.706507238499926e-05,
|
2087 |
+
"loss": 5.9943,
|
2088 |
+
"step": 1188
|
2089 |
+
},
|
2090 |
+
{
|
2091 |
+
"epoch": 0.06,
|
2092 |
+
"grad_norm": 2.127054452896118,
|
2093 |
+
"learning_rate": 4.705519047383764e-05,
|
2094 |
+
"loss": 6.0707,
|
2095 |
+
"step": 1192
|
2096 |
+
},
|
2097 |
+
{
|
2098 |
+
"epoch": 0.06,
|
2099 |
+
"grad_norm": 1.761857271194458,
|
2100 |
+
"learning_rate": 4.704530856267602e-05,
|
2101 |
+
"loss": 6.0144,
|
2102 |
+
"step": 1196
|
2103 |
+
},
|
2104 |
+
{
|
2105 |
+
"epoch": 0.06,
|
2106 |
+
"grad_norm": 1.4145355224609375,
|
2107 |
+
"learning_rate": 4.7035426651514404e-05,
|
2108 |
+
"loss": 6.0829,
|
2109 |
+
"step": 1200
|
2110 |
+
},
|
2111 |
+
{
|
2112 |
+
"epoch": 0.06,
|
2113 |
+
"grad_norm": 1.3968502283096313,
|
2114 |
+
"learning_rate": 4.7025544740352786e-05,
|
2115 |
+
"loss": 6.0907,
|
2116 |
+
"step": 1204
|
2117 |
+
},
|
2118 |
+
{
|
2119 |
+
"epoch": 0.06,
|
2120 |
+
"grad_norm": 1.406941294670105,
|
2121 |
+
"learning_rate": 4.701566282919117e-05,
|
2122 |
+
"loss": 5.9521,
|
2123 |
+
"step": 1208
|
2124 |
+
},
|
2125 |
+
{
|
2126 |
+
"epoch": 0.06,
|
2127 |
+
"grad_norm": 1.3803069591522217,
|
2128 |
+
"learning_rate": 4.700578091802955e-05,
|
2129 |
+
"loss": 5.9801,
|
2130 |
+
"step": 1212
|
2131 |
+
},
|
2132 |
+
{
|
2133 |
+
"epoch": 0.06,
|
2134 |
+
"grad_norm": 1.3069123029708862,
|
2135 |
+
"learning_rate": 4.699589900686793e-05,
|
2136 |
+
"loss": 5.9288,
|
2137 |
+
"step": 1216
|
2138 |
+
},
|
2139 |
+
{
|
2140 |
+
"epoch": 0.06,
|
2141 |
+
"grad_norm": 1.5246793031692505,
|
2142 |
+
"learning_rate": 4.6986017095706314e-05,
|
2143 |
+
"loss": 6.0128,
|
2144 |
+
"step": 1220
|
2145 |
+
},
|
2146 |
+
{
|
2147 |
+
"epoch": 0.06,
|
2148 |
+
"grad_norm": 1.5078657865524292,
|
2149 |
+
"learning_rate": 4.6976135184544696e-05,
|
2150 |
+
"loss": 5.9037,
|
2151 |
+
"step": 1224
|
2152 |
+
},
|
2153 |
+
{
|
2154 |
+
"epoch": 0.06,
|
2155 |
+
"grad_norm": 1.9630528688430786,
|
2156 |
+
"learning_rate": 4.696625327338308e-05,
|
2157 |
+
"loss": 5.9762,
|
2158 |
+
"step": 1228
|
2159 |
+
},
|
2160 |
+
{
|
2161 |
+
"epoch": 0.06,
|
2162 |
+
"grad_norm": 1.4446896314620972,
|
2163 |
+
"learning_rate": 4.695637136222146e-05,
|
2164 |
+
"loss": 5.9254,
|
2165 |
+
"step": 1232
|
2166 |
+
},
|
2167 |
+
{
|
2168 |
+
"epoch": 0.06,
|
2169 |
+
"grad_norm": 1.1959322690963745,
|
2170 |
+
"learning_rate": 4.6946489451059835e-05,
|
2171 |
+
"loss": 5.9263,
|
2172 |
+
"step": 1236
|
2173 |
+
},
|
2174 |
+
{
|
2175 |
+
"epoch": 0.06,
|
2176 |
+
"grad_norm": 1.5779132843017578,
|
2177 |
+
"learning_rate": 4.693660753989822e-05,
|
2178 |
+
"loss": 5.9132,
|
2179 |
+
"step": 1240
|
2180 |
+
},
|
2181 |
+
{
|
2182 |
+
"epoch": 0.06,
|
2183 |
+
"grad_norm": 1.3477551937103271,
|
2184 |
+
"learning_rate": 4.69267256287366e-05,
|
2185 |
+
"loss": 6.0072,
|
2186 |
+
"step": 1244
|
2187 |
+
},
|
2188 |
+
{
|
2189 |
+
"epoch": 0.06,
|
2190 |
+
"grad_norm": 1.950527310371399,
|
2191 |
+
"learning_rate": 4.691684371757498e-05,
|
2192 |
+
"loss": 5.9209,
|
2193 |
+
"step": 1248
|
2194 |
+
},
|
2195 |
+
{
|
2196 |
+
"epoch": 0.06,
|
2197 |
+
"grad_norm": 2.0284175872802734,
|
2198 |
+
"learning_rate": 4.6906961806413364e-05,
|
2199 |
+
"loss": 6.0581,
|
2200 |
+
"step": 1252
|
2201 |
+
},
|
2202 |
+
{
|
2203 |
+
"epoch": 0.06,
|
2204 |
+
"grad_norm": 1.3213205337524414,
|
2205 |
+
"learning_rate": 4.6897079895251746e-05,
|
2206 |
+
"loss": 5.9722,
|
2207 |
+
"step": 1256
|
2208 |
+
},
|
2209 |
+
{
|
2210 |
+
"epoch": 0.06,
|
2211 |
+
"grad_norm": 1.2748960256576538,
|
2212 |
+
"learning_rate": 4.688719798409013e-05,
|
2213 |
+
"loss": 6.0285,
|
2214 |
+
"step": 1260
|
2215 |
+
},
|
2216 |
+
{
|
2217 |
+
"epoch": 0.06,
|
2218 |
+
"grad_norm": 1.4361499547958374,
|
2219 |
+
"learning_rate": 4.687731607292851e-05,
|
2220 |
+
"loss": 5.9448,
|
2221 |
+
"step": 1264
|
2222 |
+
},
|
2223 |
+
{
|
2224 |
+
"epoch": 0.06,
|
2225 |
+
"grad_norm": 1.5793545246124268,
|
2226 |
+
"learning_rate": 4.6867434161766885e-05,
|
2227 |
+
"loss": 6.0026,
|
2228 |
+
"step": 1268
|
2229 |
+
},
|
2230 |
+
{
|
2231 |
+
"epoch": 0.06,
|
2232 |
+
"grad_norm": 1.7214800119400024,
|
2233 |
+
"learning_rate": 4.685755225060527e-05,
|
2234 |
+
"loss": 6.1118,
|
2235 |
+
"step": 1272
|
2236 |
+
},
|
2237 |
+
{
|
2238 |
+
"epoch": 0.06,
|
2239 |
+
"grad_norm": 1.3730213642120361,
|
2240 |
+
"learning_rate": 4.684767033944365e-05,
|
2241 |
+
"loss": 5.9988,
|
2242 |
+
"step": 1276
|
2243 |
+
},
|
2244 |
+
{
|
2245 |
+
"epoch": 0.06,
|
2246 |
+
"grad_norm": 1.4589751958847046,
|
2247 |
+
"learning_rate": 4.683778842828203e-05,
|
2248 |
+
"loss": 6.0041,
|
2249 |
+
"step": 1280
|
2250 |
+
},
|
2251 |
+
{
|
2252 |
+
"epoch": 0.06,
|
2253 |
+
"grad_norm": 1.3940002918243408,
|
2254 |
+
"learning_rate": 4.682790651712041e-05,
|
2255 |
+
"loss": 5.9818,
|
2256 |
+
"step": 1284
|
2257 |
+
},
|
2258 |
+
{
|
2259 |
+
"epoch": 0.06,
|
2260 |
+
"grad_norm": 1.3168179988861084,
|
2261 |
+
"learning_rate": 4.6818024605958795e-05,
|
2262 |
+
"loss": 5.9819,
|
2263 |
+
"step": 1288
|
2264 |
+
},
|
2265 |
+
{
|
2266 |
+
"epoch": 0.06,
|
2267 |
+
"grad_norm": 1.737804651260376,
|
2268 |
+
"learning_rate": 4.680814269479718e-05,
|
2269 |
+
"loss": 5.9301,
|
2270 |
+
"step": 1292
|
2271 |
+
},
|
2272 |
+
{
|
2273 |
+
"epoch": 0.06,
|
2274 |
+
"grad_norm": 1.2958004474639893,
|
2275 |
+
"learning_rate": 4.679826078363555e-05,
|
2276 |
+
"loss": 5.9922,
|
2277 |
+
"step": 1296
|
2278 |
+
},
|
2279 |
+
{
|
2280 |
+
"epoch": 0.06,
|
2281 |
+
"grad_norm": 1.7017489671707153,
|
2282 |
+
"learning_rate": 4.6788378872473935e-05,
|
2283 |
+
"loss": 6.0218,
|
2284 |
+
"step": 1300
|
2285 |
+
},
|
2286 |
+
{
|
2287 |
+
"epoch": 0.06,
|
2288 |
+
"grad_norm": 1.7935067415237427,
|
2289 |
+
"learning_rate": 4.677849696131232e-05,
|
2290 |
+
"loss": 5.8878,
|
2291 |
+
"step": 1304
|
2292 |
+
},
|
2293 |
+
{
|
2294 |
+
"epoch": 0.06,
|
2295 |
+
"grad_norm": 2.293447256088257,
|
2296 |
+
"learning_rate": 4.67686150501507e-05,
|
2297 |
+
"loss": 6.1183,
|
2298 |
+
"step": 1308
|
2299 |
+
},
|
2300 |
+
{
|
2301 |
+
"epoch": 0.06,
|
2302 |
+
"grad_norm": 1.470645785331726,
|
2303 |
+
"learning_rate": 4.675873313898908e-05,
|
2304 |
+
"loss": 5.8939,
|
2305 |
+
"step": 1312
|
2306 |
+
},
|
2307 |
+
{
|
2308 |
+
"epoch": 0.07,
|
2309 |
+
"grad_norm": 1.3084948062896729,
|
2310 |
+
"learning_rate": 4.674885122782746e-05,
|
2311 |
+
"loss": 5.9267,
|
2312 |
+
"step": 1316
|
2313 |
+
},
|
2314 |
+
{
|
2315 |
+
"epoch": 0.07,
|
2316 |
+
"grad_norm": 1.2316402196884155,
|
2317 |
+
"learning_rate": 4.6738969316665845e-05,
|
2318 |
+
"loss": 6.0664,
|
2319 |
+
"step": 1320
|
2320 |
+
},
|
2321 |
+
{
|
2322 |
+
"epoch": 0.07,
|
2323 |
+
"grad_norm": 1.3546851873397827,
|
2324 |
+
"learning_rate": 4.672908740550423e-05,
|
2325 |
+
"loss": 5.9785,
|
2326 |
+
"step": 1324
|
2327 |
+
},
|
2328 |
+
{
|
2329 |
+
"epoch": 0.07,
|
2330 |
+
"grad_norm": 1.1932753324508667,
|
2331 |
+
"learning_rate": 4.671920549434261e-05,
|
2332 |
+
"loss": 5.8807,
|
2333 |
+
"step": 1328
|
2334 |
+
},
|
2335 |
+
{
|
2336 |
+
"epoch": 0.07,
|
2337 |
+
"grad_norm": 1.3659350872039795,
|
2338 |
+
"learning_rate": 4.670932358318099e-05,
|
2339 |
+
"loss": 6.0175,
|
2340 |
+
"step": 1332
|
2341 |
+
},
|
2342 |
+
{
|
2343 |
+
"epoch": 0.07,
|
2344 |
+
"grad_norm": 1.316653847694397,
|
2345 |
+
"learning_rate": 4.669944167201937e-05,
|
2346 |
+
"loss": 5.9124,
|
2347 |
+
"step": 1336
|
2348 |
+
},
|
2349 |
+
{
|
2350 |
+
"epoch": 0.07,
|
2351 |
+
"grad_norm": 1.4429857730865479,
|
2352 |
+
"learning_rate": 4.6689559760857755e-05,
|
2353 |
+
"loss": 5.9828,
|
2354 |
+
"step": 1340
|
2355 |
+
},
|
2356 |
+
{
|
2357 |
+
"epoch": 0.07,
|
2358 |
+
"grad_norm": 1.4865456819534302,
|
2359 |
+
"learning_rate": 4.667967784969614e-05,
|
2360 |
+
"loss": 6.0829,
|
2361 |
+
"step": 1344
|
2362 |
+
},
|
2363 |
+
{
|
2364 |
+
"epoch": 0.07,
|
2365 |
+
"grad_norm": 1.453019618988037,
|
2366 |
+
"learning_rate": 4.666979593853452e-05,
|
2367 |
+
"loss": 5.9101,
|
2368 |
+
"step": 1348
|
2369 |
+
},
|
2370 |
+
{
|
2371 |
+
"epoch": 0.07,
|
2372 |
+
"grad_norm": 1.2942475080490112,
|
2373 |
+
"learning_rate": 4.6659914027372895e-05,
|
2374 |
+
"loss": 6.0094,
|
2375 |
+
"step": 1352
|
2376 |
+
},
|
2377 |
+
{
|
2378 |
+
"epoch": 0.07,
|
2379 |
+
"grad_norm": 1.6731159687042236,
|
2380 |
+
"learning_rate": 4.665003211621128e-05,
|
2381 |
+
"loss": 5.9274,
|
2382 |
+
"step": 1356
|
2383 |
+
},
|
2384 |
+
{
|
2385 |
+
"epoch": 0.07,
|
2386 |
+
"grad_norm": 1.5828598737716675,
|
2387 |
+
"learning_rate": 4.664015020504966e-05,
|
2388 |
+
"loss": 6.0568,
|
2389 |
+
"step": 1360
|
2390 |
+
},
|
2391 |
+
{
|
2392 |
+
"epoch": 0.07,
|
2393 |
+
"grad_norm": 1.3310965299606323,
|
2394 |
+
"learning_rate": 4.663026829388804e-05,
|
2395 |
+
"loss": 5.9873,
|
2396 |
+
"step": 1364
|
2397 |
+
},
|
2398 |
+
{
|
2399 |
+
"epoch": 0.07,
|
2400 |
+
"grad_norm": 1.5734776258468628,
|
2401 |
+
"learning_rate": 4.662038638272642e-05,
|
2402 |
+
"loss": 5.9194,
|
2403 |
+
"step": 1368
|
2404 |
+
},
|
2405 |
+
{
|
2406 |
+
"epoch": 0.07,
|
2407 |
+
"grad_norm": 1.8752501010894775,
|
2408 |
+
"learning_rate": 4.6610504471564805e-05,
|
2409 |
+
"loss": 5.945,
|
2410 |
+
"step": 1372
|
2411 |
+
},
|
2412 |
+
{
|
2413 |
+
"epoch": 0.07,
|
2414 |
+
"grad_norm": 1.5967419147491455,
|
2415 |
+
"learning_rate": 4.660062256040319e-05,
|
2416 |
+
"loss": 5.8828,
|
2417 |
+
"step": 1376
|
2418 |
+
},
|
2419 |
+
{
|
2420 |
+
"epoch": 0.07,
|
2421 |
+
"grad_norm": 1.3059850931167603,
|
2422 |
+
"learning_rate": 4.659074064924156e-05,
|
2423 |
+
"loss": 5.9692,
|
2424 |
+
"step": 1380
|
2425 |
+
},
|
2426 |
+
{
|
2427 |
+
"epoch": 0.07,
|
2428 |
+
"grad_norm": 1.3276833295822144,
|
2429 |
+
"learning_rate": 4.6580858738079945e-05,
|
2430 |
+
"loss": 5.9998,
|
2431 |
+
"step": 1384
|
2432 |
+
},
|
2433 |
+
{
|
2434 |
+
"epoch": 0.07,
|
2435 |
+
"grad_norm": 1.481294870376587,
|
2436 |
+
"learning_rate": 4.6570976826918327e-05,
|
2437 |
+
"loss": 6.0054,
|
2438 |
+
"step": 1388
|
2439 |
+
},
|
2440 |
+
{
|
2441 |
+
"epoch": 0.07,
|
2442 |
+
"grad_norm": 1.2492045164108276,
|
2443 |
+
"learning_rate": 4.656109491575671e-05,
|
2444 |
+
"loss": 5.7969,
|
2445 |
+
"step": 1392
|
2446 |
+
},
|
2447 |
+
{
|
2448 |
+
"epoch": 0.07,
|
2449 |
+
"grad_norm": 1.3145158290863037,
|
2450 |
+
"learning_rate": 4.655121300459509e-05,
|
2451 |
+
"loss": 6.0625,
|
2452 |
+
"step": 1396
|
2453 |
+
},
|
2454 |
+
{
|
2455 |
+
"epoch": 0.07,
|
2456 |
+
"grad_norm": 1.7083948850631714,
|
2457 |
+
"learning_rate": 4.654133109343347e-05,
|
2458 |
+
"loss": 6.0563,
|
2459 |
+
"step": 1400
|
2460 |
+
},
|
2461 |
+
{
|
2462 |
+
"epoch": 0.07,
|
2463 |
+
"grad_norm": 2.5010440349578857,
|
2464 |
+
"learning_rate": 4.6531449182271855e-05,
|
2465 |
+
"loss": 5.9032,
|
2466 |
+
"step": 1404
|
2467 |
+
},
|
2468 |
+
{
|
2469 |
+
"epoch": 0.07,
|
2470 |
+
"grad_norm": 1.3582074642181396,
|
2471 |
+
"learning_rate": 4.652156727111023e-05,
|
2472 |
+
"loss": 5.9933,
|
2473 |
+
"step": 1408
|
2474 |
+
},
|
2475 |
+
{
|
2476 |
+
"epoch": 0.07,
|
2477 |
+
"grad_norm": 1.4667145013809204,
|
2478 |
+
"learning_rate": 4.651168535994861e-05,
|
2479 |
+
"loss": 5.8992,
|
2480 |
+
"step": 1412
|
2481 |
+
},
|
2482 |
+
{
|
2483 |
+
"epoch": 0.07,
|
2484 |
+
"grad_norm": 1.5343049764633179,
|
2485 |
+
"learning_rate": 4.6501803448786994e-05,
|
2486 |
+
"loss": 5.9115,
|
2487 |
+
"step": 1416
|
2488 |
+
},
|
2489 |
+
{
|
2490 |
+
"epoch": 0.07,
|
2491 |
+
"grad_norm": 1.1951204538345337,
|
2492 |
+
"learning_rate": 4.6491921537625376e-05,
|
2493 |
+
"loss": 5.8802,
|
2494 |
+
"step": 1420
|
2495 |
+
},
|
2496 |
+
{
|
2497 |
+
"epoch": 0.07,
|
2498 |
+
"grad_norm": 1.566027283668518,
|
2499 |
+
"learning_rate": 4.648203962646376e-05,
|
2500 |
+
"loss": 5.8612,
|
2501 |
+
"step": 1424
|
2502 |
+
},
|
2503 |
+
{
|
2504 |
+
"epoch": 0.07,
|
2505 |
+
"grad_norm": 1.2942713499069214,
|
2506 |
+
"learning_rate": 4.647215771530214e-05,
|
2507 |
+
"loss": 5.936,
|
2508 |
+
"step": 1428
|
2509 |
+
},
|
2510 |
+
{
|
2511 |
+
"epoch": 0.07,
|
2512 |
+
"grad_norm": 1.5581068992614746,
|
2513 |
+
"learning_rate": 4.646227580414052e-05,
|
2514 |
+
"loss": 5.8286,
|
2515 |
+
"step": 1432
|
2516 |
+
},
|
2517 |
+
{
|
2518 |
+
"epoch": 0.07,
|
2519 |
+
"grad_norm": 1.3115367889404297,
|
2520 |
+
"learning_rate": 4.6452393892978905e-05,
|
2521 |
+
"loss": 5.9605,
|
2522 |
+
"step": 1436
|
2523 |
+
},
|
2524 |
+
{
|
2525 |
+
"epoch": 0.07,
|
2526 |
+
"grad_norm": 1.3432234525680542,
|
2527 |
+
"learning_rate": 4.6442511981817287e-05,
|
2528 |
+
"loss": 5.8929,
|
2529 |
+
"step": 1440
|
2530 |
+
},
|
2531 |
+
{
|
2532 |
+
"epoch": 0.07,
|
2533 |
+
"grad_norm": 1.789021611213684,
|
2534 |
+
"learning_rate": 4.643263007065567e-05,
|
2535 |
+
"loss": 6.0817,
|
2536 |
+
"step": 1444
|
2537 |
+
},
|
2538 |
+
{
|
2539 |
+
"epoch": 0.07,
|
2540 |
+
"grad_norm": 1.8558330535888672,
|
2541 |
+
"learning_rate": 4.642274815949405e-05,
|
2542 |
+
"loss": 6.0362,
|
2543 |
+
"step": 1448
|
2544 |
+
},
|
2545 |
+
{
|
2546 |
+
"epoch": 0.07,
|
2547 |
+
"grad_norm": 1.2429139614105225,
|
2548 |
+
"learning_rate": 4.641286624833243e-05,
|
2549 |
+
"loss": 6.0426,
|
2550 |
+
"step": 1452
|
2551 |
+
},
|
2552 |
+
{
|
2553 |
+
"epoch": 0.07,
|
2554 |
+
"grad_norm": 1.4920710325241089,
|
2555 |
+
"learning_rate": 4.6402984337170815e-05,
|
2556 |
+
"loss": 5.8848,
|
2557 |
+
"step": 1456
|
2558 |
+
},
|
2559 |
+
{
|
2560 |
+
"epoch": 0.07,
|
2561 |
+
"grad_norm": 1.456693172454834,
|
2562 |
+
"learning_rate": 4.63931024260092e-05,
|
2563 |
+
"loss": 6.0129,
|
2564 |
+
"step": 1460
|
2565 |
+
},
|
2566 |
+
{
|
2567 |
+
"epoch": 0.07,
|
2568 |
+
"grad_norm": 1.2984966039657593,
|
2569 |
+
"learning_rate": 4.638322051484757e-05,
|
2570 |
+
"loss": 5.9807,
|
2571 |
+
"step": 1464
|
2572 |
+
},
|
2573 |
+
{
|
2574 |
+
"epoch": 0.07,
|
2575 |
+
"grad_norm": 1.3711044788360596,
|
2576 |
+
"learning_rate": 4.6373338603685954e-05,
|
2577 |
+
"loss": 5.9158,
|
2578 |
+
"step": 1468
|
2579 |
+
},
|
2580 |
+
{
|
2581 |
+
"epoch": 0.07,
|
2582 |
+
"grad_norm": 1.432022213935852,
|
2583 |
+
"learning_rate": 4.6363456692524336e-05,
|
2584 |
+
"loss": 6.0205,
|
2585 |
+
"step": 1472
|
2586 |
+
},
|
2587 |
+
{
|
2588 |
+
"epoch": 0.07,
|
2589 |
+
"grad_norm": 1.549072504043579,
|
2590 |
+
"learning_rate": 4.635357478136272e-05,
|
2591 |
+
"loss": 5.9811,
|
2592 |
+
"step": 1476
|
2593 |
+
},
|
2594 |
+
{
|
2595 |
+
"epoch": 0.07,
|
2596 |
+
"grad_norm": 1.531638741493225,
|
2597 |
+
"learning_rate": 4.63436928702011e-05,
|
2598 |
+
"loss": 5.9643,
|
2599 |
+
"step": 1480
|
2600 |
+
},
|
2601 |
+
{
|
2602 |
+
"epoch": 0.07,
|
2603 |
+
"grad_norm": 1.9268430471420288,
|
2604 |
+
"learning_rate": 4.633381095903948e-05,
|
2605 |
+
"loss": 6.022,
|
2606 |
+
"step": 1484
|
2607 |
+
},
|
2608 |
+
{
|
2609 |
+
"epoch": 0.07,
|
2610 |
+
"grad_norm": 1.491971731185913,
|
2611 |
+
"learning_rate": 4.6323929047877865e-05,
|
2612 |
+
"loss": 5.9582,
|
2613 |
+
"step": 1488
|
2614 |
+
},
|
2615 |
+
{
|
2616 |
+
"epoch": 0.07,
|
2617 |
+
"grad_norm": 1.253057837486267,
|
2618 |
+
"learning_rate": 4.631404713671624e-05,
|
2619 |
+
"loss": 5.9783,
|
2620 |
+
"step": 1492
|
2621 |
+
},
|
2622 |
+
{
|
2623 |
+
"epoch": 0.07,
|
2624 |
+
"grad_norm": 1.7390155792236328,
|
2625 |
+
"learning_rate": 4.630416522555462e-05,
|
2626 |
+
"loss": 5.9987,
|
2627 |
+
"step": 1496
|
2628 |
+
},
|
2629 |
+
{
|
2630 |
+
"epoch": 0.07,
|
2631 |
+
"grad_norm": 1.605100154876709,
|
2632 |
+
"learning_rate": 4.6294283314393004e-05,
|
2633 |
+
"loss": 6.0706,
|
2634 |
+
"step": 1500
|
2635 |
+
},
|
2636 |
+
{
|
2637 |
+
"epoch": 0.07,
|
2638 |
+
"grad_norm": 1.30108642578125,
|
2639 |
+
"learning_rate": 4.6284401403231386e-05,
|
2640 |
+
"loss": 6.0712,
|
2641 |
+
"step": 1504
|
2642 |
+
},
|
2643 |
+
{
|
2644 |
+
"epoch": 0.07,
|
2645 |
+
"grad_norm": 1.7230815887451172,
|
2646 |
+
"learning_rate": 4.627451949206977e-05,
|
2647 |
+
"loss": 6.0353,
|
2648 |
+
"step": 1508
|
2649 |
+
},
|
2650 |
+
{
|
2651 |
+
"epoch": 0.07,
|
2652 |
+
"grad_norm": 1.7896109819412231,
|
2653 |
+
"learning_rate": 4.626463758090815e-05,
|
2654 |
+
"loss": 5.9901,
|
2655 |
+
"step": 1512
|
2656 |
+
},
|
2657 |
+
{
|
2658 |
+
"epoch": 0.07,
|
2659 |
+
"grad_norm": 1.710947871208191,
|
2660 |
+
"learning_rate": 4.625475566974653e-05,
|
2661 |
+
"loss": 5.9141,
|
2662 |
+
"step": 1516
|
2663 |
+
},
|
2664 |
+
{
|
2665 |
+
"epoch": 0.08,
|
2666 |
+
"grad_norm": 1.5355948209762573,
|
2667 |
+
"learning_rate": 4.6244873758584914e-05,
|
2668 |
+
"loss": 5.9802,
|
2669 |
+
"step": 1520
|
2670 |
+
},
|
2671 |
+
{
|
2672 |
+
"epoch": 0.08,
|
2673 |
+
"grad_norm": 1.4352582693099976,
|
2674 |
+
"learning_rate": 4.623499184742329e-05,
|
2675 |
+
"loss": 6.0397,
|
2676 |
+
"step": 1524
|
2677 |
+
},
|
2678 |
+
{
|
2679 |
+
"epoch": 0.08,
|
2680 |
+
"grad_norm": 1.4116641283035278,
|
2681 |
+
"learning_rate": 4.622510993626167e-05,
|
2682 |
+
"loss": 6.0213,
|
2683 |
+
"step": 1528
|
2684 |
+
},
|
2685 |
+
{
|
2686 |
+
"epoch": 0.08,
|
2687 |
+
"grad_norm": 1.2762186527252197,
|
2688 |
+
"learning_rate": 4.6215228025100054e-05,
|
2689 |
+
"loss": 5.8323,
|
2690 |
+
"step": 1532
|
2691 |
+
},
|
2692 |
+
{
|
2693 |
+
"epoch": 0.08,
|
2694 |
+
"grad_norm": 1.8467053174972534,
|
2695 |
+
"learning_rate": 4.6205346113938436e-05,
|
2696 |
+
"loss": 5.8623,
|
2697 |
+
"step": 1536
|
2698 |
+
},
|
2699 |
+
{
|
2700 |
+
"epoch": 0.08,
|
2701 |
+
"grad_norm": 1.5691808462142944,
|
2702 |
+
"learning_rate": 4.619546420277682e-05,
|
2703 |
+
"loss": 6.0056,
|
2704 |
+
"step": 1540
|
2705 |
+
},
|
2706 |
+
{
|
2707 |
+
"epoch": 0.08,
|
2708 |
+
"grad_norm": 1.9999240636825562,
|
2709 |
+
"learning_rate": 4.61855822916152e-05,
|
2710 |
+
"loss": 6.1042,
|
2711 |
+
"step": 1544
|
2712 |
+
},
|
2713 |
+
{
|
2714 |
+
"epoch": 0.08,
|
2715 |
+
"grad_norm": 1.9879581928253174,
|
2716 |
+
"learning_rate": 4.617570038045358e-05,
|
2717 |
+
"loss": 5.8972,
|
2718 |
+
"step": 1548
|
2719 |
+
},
|
2720 |
+
{
|
2721 |
+
"epoch": 0.08,
|
2722 |
+
"grad_norm": 1.6930572986602783,
|
2723 |
+
"learning_rate": 4.6165818469291964e-05,
|
2724 |
+
"loss": 5.8287,
|
2725 |
+
"step": 1552
|
2726 |
+
},
|
2727 |
+
{
|
2728 |
+
"epoch": 0.08,
|
2729 |
+
"grad_norm": 2.064516544342041,
|
2730 |
+
"learning_rate": 4.6155936558130346e-05,
|
2731 |
+
"loss": 5.986,
|
2732 |
+
"step": 1556
|
2733 |
+
},
|
2734 |
+
{
|
2735 |
+
"epoch": 0.08,
|
2736 |
+
"grad_norm": 1.5297229290008545,
|
2737 |
+
"learning_rate": 4.614605464696873e-05,
|
2738 |
+
"loss": 6.0793,
|
2739 |
+
"step": 1560
|
2740 |
+
},
|
2741 |
+
{
|
2742 |
+
"epoch": 0.08,
|
2743 |
+
"grad_norm": 1.3446491956710815,
|
2744 |
+
"learning_rate": 4.613617273580711e-05,
|
2745 |
+
"loss": 5.971,
|
2746 |
+
"step": 1564
|
2747 |
+
},
|
2748 |
+
{
|
2749 |
+
"epoch": 0.08,
|
2750 |
+
"grad_norm": 1.3736571073532104,
|
2751 |
+
"learning_rate": 4.612629082464549e-05,
|
2752 |
+
"loss": 6.049,
|
2753 |
+
"step": 1568
|
2754 |
+
},
|
2755 |
+
{
|
2756 |
+
"epoch": 0.08,
|
2757 |
+
"grad_norm": 1.439300298690796,
|
2758 |
+
"learning_rate": 4.6116408913483874e-05,
|
2759 |
+
"loss": 6.0757,
|
2760 |
+
"step": 1572
|
2761 |
+
},
|
2762 |
+
{
|
2763 |
+
"epoch": 0.08,
|
2764 |
+
"grad_norm": 1.766449213027954,
|
2765 |
+
"learning_rate": 4.610652700232225e-05,
|
2766 |
+
"loss": 5.8482,
|
2767 |
+
"step": 1576
|
2768 |
+
},
|
2769 |
+
{
|
2770 |
+
"epoch": 0.08,
|
2771 |
+
"grad_norm": 1.3712018728256226,
|
2772 |
+
"learning_rate": 4.609664509116063e-05,
|
2773 |
+
"loss": 5.9108,
|
2774 |
+
"step": 1580
|
2775 |
+
},
|
2776 |
+
{
|
2777 |
+
"epoch": 0.08,
|
2778 |
+
"grad_norm": 1.6353716850280762,
|
2779 |
+
"learning_rate": 4.6086763179999014e-05,
|
2780 |
+
"loss": 5.9461,
|
2781 |
+
"step": 1584
|
2782 |
+
},
|
2783 |
+
{
|
2784 |
+
"epoch": 0.08,
|
2785 |
+
"grad_norm": 1.549001932144165,
|
2786 |
+
"learning_rate": 4.6076881268837396e-05,
|
2787 |
+
"loss": 5.9503,
|
2788 |
+
"step": 1588
|
2789 |
+
},
|
2790 |
+
{
|
2791 |
+
"epoch": 0.08,
|
2792 |
+
"grad_norm": 1.8643873929977417,
|
2793 |
+
"learning_rate": 4.606699935767578e-05,
|
2794 |
+
"loss": 5.8876,
|
2795 |
+
"step": 1592
|
2796 |
+
},
|
2797 |
+
{
|
2798 |
+
"epoch": 0.08,
|
2799 |
+
"grad_norm": 3.1906590461730957,
|
2800 |
+
"learning_rate": 4.605711744651416e-05,
|
2801 |
+
"loss": 5.8155,
|
2802 |
+
"step": 1596
|
2803 |
+
},
|
2804 |
+
{
|
2805 |
+
"epoch": 0.08,
|
2806 |
+
"grad_norm": 1.4951763153076172,
|
2807 |
+
"learning_rate": 4.604723553535254e-05,
|
2808 |
+
"loss": 6.0645,
|
2809 |
+
"step": 1600
|
2810 |
+
},
|
2811 |
+
{
|
2812 |
+
"epoch": 0.08,
|
2813 |
+
"grad_norm": 1.5761932134628296,
|
2814 |
+
"learning_rate": 4.6037353624190924e-05,
|
2815 |
+
"loss": 5.8113,
|
2816 |
+
"step": 1604
|
2817 |
+
},
|
2818 |
+
{
|
2819 |
+
"epoch": 0.08,
|
2820 |
+
"grad_norm": 1.858544111251831,
|
2821 |
+
"learning_rate": 4.60274717130293e-05,
|
2822 |
+
"loss": 5.9492,
|
2823 |
+
"step": 1608
|
2824 |
+
},
|
2825 |
+
{
|
2826 |
+
"epoch": 0.08,
|
2827 |
+
"grad_norm": 1.2514946460723877,
|
2828 |
+
"learning_rate": 4.601758980186768e-05,
|
2829 |
+
"loss": 6.0415,
|
2830 |
+
"step": 1612
|
2831 |
+
},
|
2832 |
+
{
|
2833 |
+
"epoch": 0.08,
|
2834 |
+
"grad_norm": 1.4306968450546265,
|
2835 |
+
"learning_rate": 4.600770789070606e-05,
|
2836 |
+
"loss": 6.0258,
|
2837 |
+
"step": 1616
|
2838 |
+
},
|
2839 |
+
{
|
2840 |
+
"epoch": 0.08,
|
2841 |
+
"grad_norm": 1.4032137393951416,
|
2842 |
+
"learning_rate": 4.5997825979544445e-05,
|
2843 |
+
"loss": 5.9323,
|
2844 |
+
"step": 1620
|
2845 |
+
},
|
2846 |
+
{
|
2847 |
+
"epoch": 0.08,
|
2848 |
+
"grad_norm": 1.424999713897705,
|
2849 |
+
"learning_rate": 4.598794406838283e-05,
|
2850 |
+
"loss": 5.937,
|
2851 |
+
"step": 1624
|
2852 |
+
},
|
2853 |
+
{
|
2854 |
+
"epoch": 0.08,
|
2855 |
+
"grad_norm": 1.3444308042526245,
|
2856 |
+
"learning_rate": 4.597806215722121e-05,
|
2857 |
+
"loss": 5.8967,
|
2858 |
+
"step": 1628
|
2859 |
+
},
|
2860 |
+
{
|
2861 |
+
"epoch": 0.08,
|
2862 |
+
"grad_norm": 1.4193394184112549,
|
2863 |
+
"learning_rate": 4.596818024605959e-05,
|
2864 |
+
"loss": 5.9547,
|
2865 |
+
"step": 1632
|
2866 |
+
},
|
2867 |
+
{
|
2868 |
+
"epoch": 0.08,
|
2869 |
+
"grad_norm": 1.2748864889144897,
|
2870 |
+
"learning_rate": 4.595829833489797e-05,
|
2871 |
+
"loss": 5.9361,
|
2872 |
+
"step": 1636
|
2873 |
+
},
|
2874 |
+
{
|
2875 |
+
"epoch": 0.08,
|
2876 |
+
"grad_norm": 1.469801664352417,
|
2877 |
+
"learning_rate": 4.594841642373635e-05,
|
2878 |
+
"loss": 5.8623,
|
2879 |
+
"step": 1640
|
2880 |
+
},
|
2881 |
+
{
|
2882 |
+
"epoch": 0.08,
|
2883 |
+
"grad_norm": 1.563642978668213,
|
2884 |
+
"learning_rate": 4.593853451257473e-05,
|
2885 |
+
"loss": 6.0724,
|
2886 |
+
"step": 1644
|
2887 |
+
},
|
2888 |
+
{
|
2889 |
+
"epoch": 0.08,
|
2890 |
+
"grad_norm": 1.504905104637146,
|
2891 |
+
"learning_rate": 4.592865260141311e-05,
|
2892 |
+
"loss": 5.9072,
|
2893 |
+
"step": 1648
|
2894 |
+
},
|
2895 |
+
{
|
2896 |
+
"epoch": 0.08,
|
2897 |
+
"grad_norm": 1.543295979499817,
|
2898 |
+
"learning_rate": 4.5918770690251495e-05,
|
2899 |
+
"loss": 5.9527,
|
2900 |
+
"step": 1652
|
2901 |
+
},
|
2902 |
+
{
|
2903 |
+
"epoch": 0.08,
|
2904 |
+
"grad_norm": 2.244002103805542,
|
2905 |
+
"learning_rate": 4.590888877908988e-05,
|
2906 |
+
"loss": 6.0182,
|
2907 |
+
"step": 1656
|
2908 |
+
},
|
2909 |
+
{
|
2910 |
+
"epoch": 0.08,
|
2911 |
+
"grad_norm": 2.3683278560638428,
|
2912 |
+
"learning_rate": 4.589900686792826e-05,
|
2913 |
+
"loss": 6.022,
|
2914 |
+
"step": 1660
|
2915 |
+
},
|
2916 |
+
{
|
2917 |
+
"epoch": 0.08,
|
2918 |
+
"grad_norm": 1.5250694751739502,
|
2919 |
+
"learning_rate": 4.588912495676664e-05,
|
2920 |
+
"loss": 5.9414,
|
2921 |
+
"step": 1664
|
2922 |
+
},
|
2923 |
+
{
|
2924 |
+
"epoch": 0.08,
|
2925 |
+
"grad_norm": 1.940976619720459,
|
2926 |
+
"learning_rate": 4.5879243045605023e-05,
|
2927 |
+
"loss": 5.9301,
|
2928 |
+
"step": 1668
|
2929 |
+
},
|
2930 |
+
{
|
2931 |
+
"epoch": 0.08,
|
2932 |
+
"grad_norm": 1.503818154335022,
|
2933 |
+
"learning_rate": 4.5869361134443405e-05,
|
2934 |
+
"loss": 5.8361,
|
2935 |
+
"step": 1672
|
2936 |
+
},
|
2937 |
+
{
|
2938 |
+
"epoch": 0.08,
|
2939 |
+
"grad_norm": 2.5099518299102783,
|
2940 |
+
"learning_rate": 4.585947922328179e-05,
|
2941 |
+
"loss": 5.8945,
|
2942 |
+
"step": 1676
|
2943 |
+
},
|
2944 |
+
{
|
2945 |
+
"epoch": 0.08,
|
2946 |
+
"grad_norm": 1.6731679439544678,
|
2947 |
+
"learning_rate": 4.584959731212017e-05,
|
2948 |
+
"loss": 5.9091,
|
2949 |
+
"step": 1680
|
2950 |
+
},
|
2951 |
+
{
|
2952 |
+
"epoch": 0.08,
|
2953 |
+
"grad_norm": 1.2417348623275757,
|
2954 |
+
"learning_rate": 4.583971540095855e-05,
|
2955 |
+
"loss": 5.9407,
|
2956 |
+
"step": 1684
|
2957 |
+
},
|
2958 |
+
{
|
2959 |
+
"epoch": 0.08,
|
2960 |
+
"grad_norm": 1.4417905807495117,
|
2961 |
+
"learning_rate": 4.5829833489796934e-05,
|
2962 |
+
"loss": 6.0244,
|
2963 |
+
"step": 1688
|
2964 |
+
},
|
2965 |
+
{
|
2966 |
+
"epoch": 0.08,
|
2967 |
+
"grad_norm": 1.8846923112869263,
|
2968 |
+
"learning_rate": 4.581995157863531e-05,
|
2969 |
+
"loss": 5.9297,
|
2970 |
+
"step": 1692
|
2971 |
+
},
|
2972 |
+
{
|
2973 |
+
"epoch": 0.08,
|
2974 |
+
"grad_norm": 1.6629383563995361,
|
2975 |
+
"learning_rate": 4.581006966747369e-05,
|
2976 |
+
"loss": 5.845,
|
2977 |
+
"step": 1696
|
2978 |
+
},
|
2979 |
+
{
|
2980 |
+
"epoch": 0.08,
|
2981 |
+
"grad_norm": 1.4970371723175049,
|
2982 |
+
"learning_rate": 4.580018775631207e-05,
|
2983 |
+
"loss": 5.9948,
|
2984 |
+
"step": 1700
|
2985 |
+
},
|
2986 |
+
{
|
2987 |
+
"epoch": 0.08,
|
2988 |
+
"grad_norm": 2.547971248626709,
|
2989 |
+
"learning_rate": 4.5790305845150455e-05,
|
2990 |
+
"loss": 5.9322,
|
2991 |
+
"step": 1704
|
2992 |
+
},
|
2993 |
+
{
|
2994 |
+
"epoch": 0.08,
|
2995 |
+
"grad_norm": 2.2521891593933105,
|
2996 |
+
"learning_rate": 4.578042393398884e-05,
|
2997 |
+
"loss": 5.9448,
|
2998 |
+
"step": 1708
|
2999 |
+
},
|
3000 |
+
{
|
3001 |
+
"epoch": 0.08,
|
3002 |
+
"grad_norm": 1.8124247789382935,
|
3003 |
+
"learning_rate": 4.577054202282722e-05,
|
3004 |
+
"loss": 5.9226,
|
3005 |
+
"step": 1712
|
3006 |
+
},
|
3007 |
+
{
|
3008 |
+
"epoch": 0.08,
|
3009 |
+
"grad_norm": 2.33345890045166,
|
3010 |
+
"learning_rate": 4.57606601116656e-05,
|
3011 |
+
"loss": 6.0771,
|
3012 |
+
"step": 1716
|
3013 |
+
},
|
3014 |
+
{
|
3015 |
+
"epoch": 0.08,
|
3016 |
+
"grad_norm": 2.122553825378418,
|
3017 |
+
"learning_rate": 4.575077820050398e-05,
|
3018 |
+
"loss": 5.8754,
|
3019 |
+
"step": 1720
|
3020 |
+
},
|
3021 |
+
{
|
3022 |
+
"epoch": 0.09,
|
3023 |
+
"grad_norm": 1.5283949375152588,
|
3024 |
+
"learning_rate": 4.574089628934236e-05,
|
3025 |
+
"loss": 5.8644,
|
3026 |
+
"step": 1724
|
3027 |
+
},
|
3028 |
+
{
|
3029 |
+
"epoch": 0.09,
|
3030 |
+
"grad_norm": 1.6564345359802246,
|
3031 |
+
"learning_rate": 4.573101437818074e-05,
|
3032 |
+
"loss": 5.8691,
|
3033 |
+
"step": 1728
|
3034 |
+
},
|
3035 |
+
{
|
3036 |
+
"epoch": 0.09,
|
3037 |
+
"grad_norm": 1.6714503765106201,
|
3038 |
+
"learning_rate": 4.572113246701912e-05,
|
3039 |
+
"loss": 5.9227,
|
3040 |
+
"step": 1732
|
3041 |
+
},
|
3042 |
+
{
|
3043 |
+
"epoch": 0.09,
|
3044 |
+
"grad_norm": 1.543869972229004,
|
3045 |
+
"learning_rate": 4.5711250555857505e-05,
|
3046 |
+
"loss": 5.9588,
|
3047 |
+
"step": 1736
|
3048 |
+
},
|
3049 |
+
{
|
3050 |
+
"epoch": 0.09,
|
3051 |
+
"grad_norm": 1.248793601989746,
|
3052 |
+
"learning_rate": 4.570136864469589e-05,
|
3053 |
+
"loss": 5.9065,
|
3054 |
+
"step": 1740
|
3055 |
+
},
|
3056 |
+
{
|
3057 |
+
"epoch": 0.09,
|
3058 |
+
"grad_norm": 1.3636749982833862,
|
3059 |
+
"learning_rate": 4.569148673353427e-05,
|
3060 |
+
"loss": 5.8001,
|
3061 |
+
"step": 1744
|
3062 |
+
},
|
3063 |
+
{
|
3064 |
+
"epoch": 0.09,
|
3065 |
+
"grad_norm": 1.2990843057632446,
|
3066 |
+
"learning_rate": 4.568160482237265e-05,
|
3067 |
+
"loss": 5.9017,
|
3068 |
+
"step": 1748
|
3069 |
+
},
|
3070 |
+
{
|
3071 |
+
"epoch": 0.09,
|
3072 |
+
"grad_norm": 1.4160529375076294,
|
3073 |
+
"learning_rate": 4.5671722911211026e-05,
|
3074 |
+
"loss": 5.7955,
|
3075 |
+
"step": 1752
|
3076 |
+
},
|
3077 |
+
{
|
3078 |
+
"epoch": 0.09,
|
3079 |
+
"grad_norm": 1.5701916217803955,
|
3080 |
+
"learning_rate": 4.566184100004941e-05,
|
3081 |
+
"loss": 5.9576,
|
3082 |
+
"step": 1756
|
3083 |
+
},
|
3084 |
+
{
|
3085 |
+
"epoch": 0.09,
|
3086 |
+
"grad_norm": 1.5187253952026367,
|
3087 |
+
"learning_rate": 4.565195908888779e-05,
|
3088 |
+
"loss": 5.9054,
|
3089 |
+
"step": 1760
|
3090 |
+
},
|
3091 |
+
{
|
3092 |
+
"epoch": 0.09,
|
3093 |
+
"grad_norm": 1.6530662775039673,
|
3094 |
+
"learning_rate": 4.564207717772617e-05,
|
3095 |
+
"loss": 5.9385,
|
3096 |
+
"step": 1764
|
3097 |
+
},
|
3098 |
+
{
|
3099 |
+
"epoch": 0.09,
|
3100 |
+
"grad_norm": 1.481063723564148,
|
3101 |
+
"learning_rate": 4.5632195266564555e-05,
|
3102 |
+
"loss": 5.8584,
|
3103 |
+
"step": 1768
|
3104 |
+
},
|
3105 |
+
{
|
3106 |
+
"epoch": 0.09,
|
3107 |
+
"grad_norm": 1.2179416418075562,
|
3108 |
+
"learning_rate": 4.562231335540294e-05,
|
3109 |
+
"loss": 5.9652,
|
3110 |
+
"step": 1772
|
3111 |
+
},
|
3112 |
+
{
|
3113 |
+
"epoch": 0.09,
|
3114 |
+
"grad_norm": 1.4156241416931152,
|
3115 |
+
"learning_rate": 4.561243144424132e-05,
|
3116 |
+
"loss": 5.7772,
|
3117 |
+
"step": 1776
|
3118 |
+
},
|
3119 |
+
{
|
3120 |
+
"epoch": 0.09,
|
3121 |
+
"grad_norm": 1.5597620010375977,
|
3122 |
+
"learning_rate": 4.56025495330797e-05,
|
3123 |
+
"loss": 5.9441,
|
3124 |
+
"step": 1780
|
3125 |
+
},
|
3126 |
+
{
|
3127 |
+
"epoch": 0.09,
|
3128 |
+
"grad_norm": 1.4729033708572388,
|
3129 |
+
"learning_rate": 4.559266762191808e-05,
|
3130 |
+
"loss": 5.9495,
|
3131 |
+
"step": 1784
|
3132 |
+
},
|
3133 |
+
{
|
3134 |
+
"epoch": 0.09,
|
3135 |
+
"grad_norm": 1.4252592325210571,
|
3136 |
+
"learning_rate": 4.5582785710756465e-05,
|
3137 |
+
"loss": 5.8379,
|
3138 |
+
"step": 1788
|
3139 |
+
},
|
3140 |
+
{
|
3141 |
+
"epoch": 0.09,
|
3142 |
+
"grad_norm": 1.3946348428726196,
|
3143 |
+
"learning_rate": 4.557290379959485e-05,
|
3144 |
+
"loss": 5.9435,
|
3145 |
+
"step": 1792
|
3146 |
+
},
|
3147 |
+
{
|
3148 |
+
"epoch": 0.09,
|
3149 |
+
"grad_norm": 1.366830587387085,
|
3150 |
+
"learning_rate": 4.556302188843323e-05,
|
3151 |
+
"loss": 5.9755,
|
3152 |
+
"step": 1796
|
3153 |
+
},
|
3154 |
+
{
|
3155 |
+
"epoch": 0.09,
|
3156 |
+
"grad_norm": 1.2371442317962646,
|
3157 |
+
"learning_rate": 4.555313997727161e-05,
|
3158 |
+
"loss": 5.9288,
|
3159 |
+
"step": 1800
|
3160 |
+
},
|
3161 |
+
{
|
3162 |
+
"epoch": 0.09,
|
3163 |
+
"grad_norm": 1.3472713232040405,
|
3164 |
+
"learning_rate": 4.5543258066109986e-05,
|
3165 |
+
"loss": 5.9537,
|
3166 |
+
"step": 1804
|
3167 |
+
},
|
3168 |
+
{
|
3169 |
+
"epoch": 0.09,
|
3170 |
+
"grad_norm": 1.9578423500061035,
|
3171 |
+
"learning_rate": 4.553337615494837e-05,
|
3172 |
+
"loss": 6.0531,
|
3173 |
+
"step": 1808
|
3174 |
+
},
|
3175 |
+
{
|
3176 |
+
"epoch": 0.09,
|
3177 |
+
"grad_norm": 1.4482135772705078,
|
3178 |
+
"learning_rate": 4.552349424378675e-05,
|
3179 |
+
"loss": 5.8764,
|
3180 |
+
"step": 1812
|
3181 |
+
},
|
3182 |
+
{
|
3183 |
+
"epoch": 0.09,
|
3184 |
+
"grad_norm": 1.4886963367462158,
|
3185 |
+
"learning_rate": 4.551361233262513e-05,
|
3186 |
+
"loss": 6.0265,
|
3187 |
+
"step": 1816
|
3188 |
+
},
|
3189 |
+
{
|
3190 |
+
"epoch": 0.09,
|
3191 |
+
"grad_norm": 1.89201819896698,
|
3192 |
+
"learning_rate": 4.5503730421463515e-05,
|
3193 |
+
"loss": 5.8338,
|
3194 |
+
"step": 1820
|
3195 |
+
},
|
3196 |
+
{
|
3197 |
+
"epoch": 0.09,
|
3198 |
+
"grad_norm": 1.207160234451294,
|
3199 |
+
"learning_rate": 4.54938485103019e-05,
|
3200 |
+
"loss": 5.8131,
|
3201 |
+
"step": 1824
|
3202 |
+
},
|
3203 |
+
{
|
3204 |
+
"epoch": 0.09,
|
3205 |
+
"grad_norm": 1.4633376598358154,
|
3206 |
+
"learning_rate": 4.548396659914028e-05,
|
3207 |
+
"loss": 5.8665,
|
3208 |
+
"step": 1828
|
3209 |
+
},
|
3210 |
+
{
|
3211 |
+
"epoch": 0.09,
|
3212 |
+
"grad_norm": 1.4453964233398438,
|
3213 |
+
"learning_rate": 4.547408468797866e-05,
|
3214 |
+
"loss": 5.963,
|
3215 |
+
"step": 1832
|
3216 |
+
},
|
3217 |
+
{
|
3218 |
+
"epoch": 0.09,
|
3219 |
+
"grad_norm": 2.0406370162963867,
|
3220 |
+
"learning_rate": 4.5464202776817036e-05,
|
3221 |
+
"loss": 5.8779,
|
3222 |
+
"step": 1836
|
3223 |
+
},
|
3224 |
+
{
|
3225 |
+
"epoch": 0.09,
|
3226 |
+
"grad_norm": 1.6090114116668701,
|
3227 |
+
"learning_rate": 4.545432086565542e-05,
|
3228 |
+
"loss": 5.906,
|
3229 |
+
"step": 1840
|
3230 |
+
},
|
3231 |
+
{
|
3232 |
+
"epoch": 0.09,
|
3233 |
+
"grad_norm": 1.6481086015701294,
|
3234 |
+
"learning_rate": 4.54444389544938e-05,
|
3235 |
+
"loss": 6.0581,
|
3236 |
+
"step": 1844
|
3237 |
+
},
|
3238 |
+
{
|
3239 |
+
"epoch": 0.09,
|
3240 |
+
"grad_norm": 1.5279346704483032,
|
3241 |
+
"learning_rate": 4.543455704333218e-05,
|
3242 |
+
"loss": 5.937,
|
3243 |
+
"step": 1848
|
3244 |
+
},
|
3245 |
+
{
|
3246 |
+
"epoch": 0.09,
|
3247 |
+
"grad_norm": 1.580449104309082,
|
3248 |
+
"learning_rate": 4.5424675132170564e-05,
|
3249 |
+
"loss": 5.8628,
|
3250 |
+
"step": 1852
|
3251 |
+
},
|
3252 |
+
{
|
3253 |
+
"epoch": 0.09,
|
3254 |
+
"grad_norm": 1.5227487087249756,
|
3255 |
+
"learning_rate": 4.5414793221008946e-05,
|
3256 |
+
"loss": 5.8597,
|
3257 |
+
"step": 1856
|
3258 |
+
},
|
3259 |
+
{
|
3260 |
+
"epoch": 0.09,
|
3261 |
+
"grad_norm": 1.3211569786071777,
|
3262 |
+
"learning_rate": 4.540491130984733e-05,
|
3263 |
+
"loss": 5.9294,
|
3264 |
+
"step": 1860
|
3265 |
+
},
|
3266 |
+
{
|
3267 |
+
"epoch": 0.09,
|
3268 |
+
"grad_norm": 1.5065453052520752,
|
3269 |
+
"learning_rate": 4.5395029398685704e-05,
|
3270 |
+
"loss": 5.9311,
|
3271 |
+
"step": 1864
|
3272 |
+
},
|
3273 |
+
{
|
3274 |
+
"epoch": 0.09,
|
3275 |
+
"grad_norm": 1.6894686222076416,
|
3276 |
+
"learning_rate": 4.5385147487524086e-05,
|
3277 |
+
"loss": 5.9489,
|
3278 |
+
"step": 1868
|
3279 |
+
},
|
3280 |
+
{
|
3281 |
+
"epoch": 0.09,
|
3282 |
+
"grad_norm": 1.4861186742782593,
|
3283 |
+
"learning_rate": 4.537526557636247e-05,
|
3284 |
+
"loss": 5.9022,
|
3285 |
+
"step": 1872
|
3286 |
+
},
|
3287 |
+
{
|
3288 |
+
"epoch": 0.09,
|
3289 |
+
"grad_norm": 1.7374814748764038,
|
3290 |
+
"learning_rate": 4.536538366520085e-05,
|
3291 |
+
"loss": 5.9511,
|
3292 |
+
"step": 1876
|
3293 |
+
},
|
3294 |
+
{
|
3295 |
+
"epoch": 0.09,
|
3296 |
+
"grad_norm": 1.7111232280731201,
|
3297 |
+
"learning_rate": 4.535550175403923e-05,
|
3298 |
+
"loss": 5.9008,
|
3299 |
+
"step": 1880
|
3300 |
+
},
|
3301 |
+
{
|
3302 |
+
"epoch": 0.09,
|
3303 |
+
"grad_norm": 1.887349009513855,
|
3304 |
+
"learning_rate": 4.5345619842877614e-05,
|
3305 |
+
"loss": 5.7785,
|
3306 |
+
"step": 1884
|
3307 |
+
},
|
3308 |
+
{
|
3309 |
+
"epoch": 0.09,
|
3310 |
+
"grad_norm": 1.397018313407898,
|
3311 |
+
"learning_rate": 4.5335737931715996e-05,
|
3312 |
+
"loss": 5.8256,
|
3313 |
+
"step": 1888
|
3314 |
+
},
|
3315 |
+
{
|
3316 |
+
"epoch": 0.09,
|
3317 |
+
"grad_norm": 1.312874674797058,
|
3318 |
+
"learning_rate": 4.532585602055438e-05,
|
3319 |
+
"loss": 5.7768,
|
3320 |
+
"step": 1892
|
3321 |
+
},
|
3322 |
+
{
|
3323 |
+
"epoch": 0.09,
|
3324 |
+
"grad_norm": 1.6667051315307617,
|
3325 |
+
"learning_rate": 4.531597410939276e-05,
|
3326 |
+
"loss": 5.9521,
|
3327 |
+
"step": 1896
|
3328 |
+
},
|
3329 |
+
{
|
3330 |
+
"epoch": 0.09,
|
3331 |
+
"grad_norm": 1.3993628025054932,
|
3332 |
+
"learning_rate": 4.530609219823114e-05,
|
3333 |
+
"loss": 5.8285,
|
3334 |
+
"step": 1900
|
3335 |
+
},
|
3336 |
+
{
|
3337 |
+
"epoch": 0.09,
|
3338 |
+
"grad_norm": 1.5168507099151611,
|
3339 |
+
"learning_rate": 4.5296210287069524e-05,
|
3340 |
+
"loss": 5.9211,
|
3341 |
+
"step": 1904
|
3342 |
+
},
|
3343 |
+
{
|
3344 |
+
"epoch": 0.09,
|
3345 |
+
"grad_norm": 1.9311803579330444,
|
3346 |
+
"learning_rate": 4.5286328375907906e-05,
|
3347 |
+
"loss": 6.015,
|
3348 |
+
"step": 1908
|
3349 |
+
},
|
3350 |
+
{
|
3351 |
+
"epoch": 0.09,
|
3352 |
+
"grad_norm": 1.33588707447052,
|
3353 |
+
"learning_rate": 4.527644646474629e-05,
|
3354 |
+
"loss": 5.8528,
|
3355 |
+
"step": 1912
|
3356 |
+
},
|
3357 |
+
{
|
3358 |
+
"epoch": 0.09,
|
3359 |
+
"grad_norm": 1.831453561782837,
|
3360 |
+
"learning_rate": 4.526656455358467e-05,
|
3361 |
+
"loss": 5.8254,
|
3362 |
+
"step": 1916
|
3363 |
+
},
|
3364 |
+
{
|
3365 |
+
"epoch": 0.09,
|
3366 |
+
"grad_norm": 1.7024390697479248,
|
3367 |
+
"learning_rate": 4.5256682642423046e-05,
|
3368 |
+
"loss": 5.8458,
|
3369 |
+
"step": 1920
|
3370 |
+
},
|
3371 |
+
{
|
3372 |
+
"epoch": 0.1,
|
3373 |
+
"grad_norm": 1.5297564268112183,
|
3374 |
+
"learning_rate": 4.524680073126143e-05,
|
3375 |
+
"loss": 5.8749,
|
3376 |
+
"step": 1924
|
3377 |
+
},
|
3378 |
+
{
|
3379 |
+
"epoch": 0.1,
|
3380 |
+
"grad_norm": 1.4288631677627563,
|
3381 |
+
"learning_rate": 4.523691882009981e-05,
|
3382 |
+
"loss": 5.8288,
|
3383 |
+
"step": 1928
|
3384 |
+
},
|
3385 |
+
{
|
3386 |
+
"epoch": 0.1,
|
3387 |
+
"grad_norm": 1.723061203956604,
|
3388 |
+
"learning_rate": 4.522703690893819e-05,
|
3389 |
+
"loss": 5.8773,
|
3390 |
+
"step": 1932
|
3391 |
+
},
|
3392 |
+
{
|
3393 |
+
"epoch": 0.1,
|
3394 |
+
"grad_norm": 1.3699047565460205,
|
3395 |
+
"learning_rate": 4.5217154997776574e-05,
|
3396 |
+
"loss": 5.94,
|
3397 |
+
"step": 1936
|
3398 |
+
},
|
3399 |
+
{
|
3400 |
+
"epoch": 0.1,
|
3401 |
+
"grad_norm": 1.883584976196289,
|
3402 |
+
"learning_rate": 4.5207273086614956e-05,
|
3403 |
+
"loss": 5.8437,
|
3404 |
+
"step": 1940
|
3405 |
+
},
|
3406 |
+
{
|
3407 |
+
"epoch": 0.1,
|
3408 |
+
"grad_norm": 1.6371957063674927,
|
3409 |
+
"learning_rate": 4.519739117545334e-05,
|
3410 |
+
"loss": 5.9447,
|
3411 |
+
"step": 1944
|
3412 |
+
},
|
3413 |
+
{
|
3414 |
+
"epoch": 0.1,
|
3415 |
+
"grad_norm": 1.4362295866012573,
|
3416 |
+
"learning_rate": 4.5187509264291713e-05,
|
3417 |
+
"loss": 6.0218,
|
3418 |
+
"step": 1948
|
3419 |
+
},
|
3420 |
+
{
|
3421 |
+
"epoch": 0.1,
|
3422 |
+
"grad_norm": 1.9110528230667114,
|
3423 |
+
"learning_rate": 4.5177627353130095e-05,
|
3424 |
+
"loss": 5.9644,
|
3425 |
+
"step": 1952
|
3426 |
+
},
|
3427 |
+
{
|
3428 |
+
"epoch": 0.1,
|
3429 |
+
"grad_norm": 2.587083101272583,
|
3430 |
+
"learning_rate": 4.516774544196848e-05,
|
3431 |
+
"loss": 5.9193,
|
3432 |
+
"step": 1956
|
3433 |
+
},
|
3434 |
+
{
|
3435 |
+
"epoch": 0.1,
|
3436 |
+
"grad_norm": 1.5505852699279785,
|
3437 |
+
"learning_rate": 4.515786353080686e-05,
|
3438 |
+
"loss": 5.8284,
|
3439 |
+
"step": 1960
|
3440 |
+
},
|
3441 |
+
{
|
3442 |
+
"epoch": 0.1,
|
3443 |
+
"grad_norm": 1.5493978261947632,
|
3444 |
+
"learning_rate": 4.514798161964524e-05,
|
3445 |
+
"loss": 6.0078,
|
3446 |
+
"step": 1964
|
3447 |
+
},
|
3448 |
+
{
|
3449 |
+
"epoch": 0.1,
|
3450 |
+
"grad_norm": 1.5519258975982666,
|
3451 |
+
"learning_rate": 4.5138099708483624e-05,
|
3452 |
+
"loss": 5.8343,
|
3453 |
+
"step": 1968
|
3454 |
+
},
|
3455 |
+
{
|
3456 |
+
"epoch": 0.1,
|
3457 |
+
"grad_norm": 1.4279431104660034,
|
3458 |
+
"learning_rate": 4.5128217797322006e-05,
|
3459 |
+
"loss": 5.9317,
|
3460 |
+
"step": 1972
|
3461 |
+
},
|
3462 |
+
{
|
3463 |
+
"epoch": 0.1,
|
3464 |
+
"grad_norm": 1.8912272453308105,
|
3465 |
+
"learning_rate": 4.511833588616038e-05,
|
3466 |
+
"loss": 5.8355,
|
3467 |
+
"step": 1976
|
3468 |
+
},
|
3469 |
+
{
|
3470 |
+
"epoch": 0.1,
|
3471 |
+
"grad_norm": 1.440687656402588,
|
3472 |
+
"learning_rate": 4.510845397499876e-05,
|
3473 |
+
"loss": 5.9027,
|
3474 |
+
"step": 1980
|
3475 |
+
},
|
3476 |
+
{
|
3477 |
+
"epoch": 0.1,
|
3478 |
+
"grad_norm": 1.8350549936294556,
|
3479 |
+
"learning_rate": 4.5098572063837145e-05,
|
3480 |
+
"loss": 5.9534,
|
3481 |
+
"step": 1984
|
3482 |
+
},
|
3483 |
+
{
|
3484 |
+
"epoch": 0.1,
|
3485 |
+
"grad_norm": 1.4987351894378662,
|
3486 |
+
"learning_rate": 4.508869015267553e-05,
|
3487 |
+
"loss": 6.0618,
|
3488 |
+
"step": 1988
|
3489 |
+
},
|
3490 |
+
{
|
3491 |
+
"epoch": 0.1,
|
3492 |
+
"grad_norm": 1.4456908702850342,
|
3493 |
+
"learning_rate": 4.507880824151391e-05,
|
3494 |
+
"loss": 5.9174,
|
3495 |
+
"step": 1992
|
3496 |
+
},
|
3497 |
+
{
|
3498 |
+
"epoch": 0.1,
|
3499 |
+
"grad_norm": 1.5561717748641968,
|
3500 |
+
"learning_rate": 4.506892633035229e-05,
|
3501 |
+
"loss": 5.8602,
|
3502 |
+
"step": 1996
|
3503 |
+
},
|
3504 |
+
{
|
3505 |
+
"epoch": 0.1,
|
3506 |
+
"grad_norm": 1.976826548576355,
|
3507 |
+
"learning_rate": 4.5059044419190673e-05,
|
3508 |
+
"loss": 5.97,
|
3509 |
+
"step": 2000
|
3510 |
+
},
|
3511 |
+
{
|
3512 |
+
"epoch": 0.1,
|
3513 |
+
"grad_norm": 1.561604380607605,
|
3514 |
+
"learning_rate": 4.5049162508029055e-05,
|
3515 |
+
"loss": 5.9561,
|
3516 |
+
"step": 2004
|
3517 |
+
},
|
3518 |
+
{
|
3519 |
+
"epoch": 0.1,
|
3520 |
+
"grad_norm": 2.241724967956543,
|
3521 |
+
"learning_rate": 4.503928059686743e-05,
|
3522 |
+
"loss": 5.9314,
|
3523 |
+
"step": 2008
|
3524 |
+
},
|
3525 |
+
{
|
3526 |
+
"epoch": 0.1,
|
3527 |
+
"grad_norm": 2.012200355529785,
|
3528 |
+
"learning_rate": 4.502939868570582e-05,
|
3529 |
+
"loss": 5.8255,
|
3530 |
+
"step": 2012
|
3531 |
+
},
|
3532 |
+
{
|
3533 |
+
"epoch": 0.1,
|
3534 |
+
"grad_norm": 1.6281402111053467,
|
3535 |
+
"learning_rate": 4.50195167745442e-05,
|
3536 |
+
"loss": 5.8459,
|
3537 |
+
"step": 2016
|
3538 |
+
},
|
3539 |
+
{
|
3540 |
+
"epoch": 0.1,
|
3541 |
+
"grad_norm": 1.9645634889602661,
|
3542 |
+
"learning_rate": 4.5009634863382584e-05,
|
3543 |
+
"loss": 5.805,
|
3544 |
+
"step": 2020
|
3545 |
+
},
|
3546 |
+
{
|
3547 |
+
"epoch": 0.1,
|
3548 |
+
"grad_norm": 1.7598261833190918,
|
3549 |
+
"learning_rate": 4.4999752952220966e-05,
|
3550 |
+
"loss": 5.7636,
|
3551 |
+
"step": 2024
|
3552 |
+
}
|
3553 |
+
],
|
3554 |
+
"logging_steps": 4,
|
3555 |
+
"max_steps": 20239,
|
3556 |
+
"num_input_tokens_seen": 0,
|
3557 |
+
"num_train_epochs": 1,
|
3558 |
+
"save_steps": 2024,
|
3559 |
+
"total_flos": 8525588929183744.0,
|
3560 |
+
"train_batch_size": 8,
|
3561 |
+
"trial_name": null,
|
3562 |
+
"trial_params": null
|
3563 |
+
}
|
last-checkpoint/training_args.bin
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:3868717b86ef1e9c31ccbc1ab7f83453b0749250114608440a5315303d34f707
|
3 |
+
size 4984
|
last-checkpoint/vocab.json
ADDED
The diff for this file is too large to render.
See raw diff
|
|