Upload 13 files
Browse files- config.json +39 -0
- generation_config.json +6 -0
- merges.txt +0 -0
- optimizer.pt +3 -0
- pytorch_model.bin +3 -0
- rng_state.pth +3 -0
- scheduler.pt +3 -0
- special_tokens_map.json +6 -0
- tokenizer.json +0 -0
- tokenizer_config.json +9 -0
- trainer_state.json +2399 -0
- training_args.bin +3 -0
- vocab.json +0 -0
config.json
ADDED
|
@@ -0,0 +1,39 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"_name_or_path": "gpt2",
|
| 3 |
+
"activation_function": "gelu_new",
|
| 4 |
+
"architectures": [
|
| 5 |
+
"GPT2ParaphrasingLM"
|
| 6 |
+
],
|
| 7 |
+
"attn_pdrop": 0.1,
|
| 8 |
+
"bos_token_id": 50256,
|
| 9 |
+
"embd_pdrop": 0.1,
|
| 10 |
+
"eos_token_id": 50256,
|
| 11 |
+
"initializer_range": 0.02,
|
| 12 |
+
"layer_norm_epsilon": 1e-05,
|
| 13 |
+
"model_type": "gpt2",
|
| 14 |
+
"n_ctx": 1024,
|
| 15 |
+
"n_embd": 768,
|
| 16 |
+
"n_head": 12,
|
| 17 |
+
"n_inner": null,
|
| 18 |
+
"n_layer": 12,
|
| 19 |
+
"n_positions": 1024,
|
| 20 |
+
"reorder_and_upcast_attn": false,
|
| 21 |
+
"resid_pdrop": 0.1,
|
| 22 |
+
"scale_attn_by_inverse_layer_idx": false,
|
| 23 |
+
"scale_attn_weights": true,
|
| 24 |
+
"summary_activation": null,
|
| 25 |
+
"summary_first_dropout": 0.1,
|
| 26 |
+
"summary_proj_to_labels": true,
|
| 27 |
+
"summary_type": "cls_index",
|
| 28 |
+
"summary_use_proj": true,
|
| 29 |
+
"task_specific_params": {
|
| 30 |
+
"text-generation": {
|
| 31 |
+
"do_sample": true,
|
| 32 |
+
"max_length": 50
|
| 33 |
+
}
|
| 34 |
+
},
|
| 35 |
+
"torch_dtype": "float32",
|
| 36 |
+
"transformers_version": "4.33.2",
|
| 37 |
+
"use_cache": true,
|
| 38 |
+
"vocab_size": 50257
|
| 39 |
+
}
|
generation_config.json
ADDED
|
@@ -0,0 +1,6 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"_from_model_config": true,
|
| 3 |
+
"bos_token_id": 50256,
|
| 4 |
+
"eos_token_id": 50256,
|
| 5 |
+
"transformers_version": "4.33.2"
|
| 6 |
+
}
|
merges.txt
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|
optimizer.pt
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:96fb7cf2c92d47a6083f32b6629c44bf68c7ba068b2fda834e2d53e4bd9d93de
|
| 3 |
+
size 995605509
|
pytorch_model.bin
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:3e65e156dbb38a78bc17d121aeb0d08609ef356190299cd83c1fd3b644cbc4ee
|
| 3 |
+
size 497807197
|
rng_state.pth
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:25cae035dc0dd096af606f71b6c7ae2de5a58267a66ea9e3cc543f1ce0cfbee2
|
| 3 |
+
size 14575
|
scheduler.pt
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:94e145e476f451fda47cdd72825a298a7721eb33bd14c0f954e3edae795b5418
|
| 3 |
+
size 627
|
special_tokens_map.json
ADDED
|
@@ -0,0 +1,6 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"bos_token": "<|endoftext|>",
|
| 3 |
+
"eos_token": "<|endoftext|>",
|
| 4 |
+
"pad_token": "<|endoftext|>",
|
| 5 |
+
"unk_token": "<|endoftext|>"
|
| 6 |
+
}
|
tokenizer.json
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|
tokenizer_config.json
ADDED
|
@@ -0,0 +1,9 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"add_prefix_space": false,
|
| 3 |
+
"bos_token": "<|endoftext|>",
|
| 4 |
+
"clean_up_tokenization_spaces": true,
|
| 5 |
+
"eos_token": "<|endoftext|>",
|
| 6 |
+
"model_max_length": 128,
|
| 7 |
+
"tokenizer_class": "GPT2Tokenizer",
|
| 8 |
+
"unk_token": "<|endoftext|>"
|
| 9 |
+
}
|
trainer_state.json
ADDED
|
@@ -0,0 +1,2399 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"best_metric": null,
|
| 3 |
+
"best_model_checkpoint": null,
|
| 4 |
+
"epoch": 29.746727859935408,
|
| 5 |
+
"eval_steps": 5000,
|
| 6 |
+
"global_step": 175000,
|
| 7 |
+
"is_hyper_param_search": false,
|
| 8 |
+
"is_local_process_zero": true,
|
| 9 |
+
"is_world_process_zero": true,
|
| 10 |
+
"log_history": [
|
| 11 |
+
{
|
| 12 |
+
"epoch": 0.08,
|
| 13 |
+
"learning_rate": 4.987500000000001e-06,
|
| 14 |
+
"loss": 1.4907,
|
| 15 |
+
"step": 500
|
| 16 |
+
},
|
| 17 |
+
{
|
| 18 |
+
"epoch": 0.17,
|
| 19 |
+
"learning_rate": 4.975000000000001e-06,
|
| 20 |
+
"loss": 1.3231,
|
| 21 |
+
"step": 1000
|
| 22 |
+
},
|
| 23 |
+
{
|
| 24 |
+
"epoch": 0.25,
|
| 25 |
+
"learning_rate": 4.9625e-06,
|
| 26 |
+
"loss": 1.3028,
|
| 27 |
+
"step": 1500
|
| 28 |
+
},
|
| 29 |
+
{
|
| 30 |
+
"epoch": 0.34,
|
| 31 |
+
"learning_rate": 4.95e-06,
|
| 32 |
+
"loss": 1.2531,
|
| 33 |
+
"step": 2000
|
| 34 |
+
},
|
| 35 |
+
{
|
| 36 |
+
"epoch": 0.42,
|
| 37 |
+
"learning_rate": 4.937500000000001e-06,
|
| 38 |
+
"loss": 1.219,
|
| 39 |
+
"step": 2500
|
| 40 |
+
},
|
| 41 |
+
{
|
| 42 |
+
"epoch": 0.51,
|
| 43 |
+
"learning_rate": 4.925e-06,
|
| 44 |
+
"loss": 1.177,
|
| 45 |
+
"step": 3000
|
| 46 |
+
},
|
| 47 |
+
{
|
| 48 |
+
"epoch": 0.59,
|
| 49 |
+
"learning_rate": 4.912500000000001e-06,
|
| 50 |
+
"loss": 1.1509,
|
| 51 |
+
"step": 3500
|
| 52 |
+
},
|
| 53 |
+
{
|
| 54 |
+
"epoch": 0.68,
|
| 55 |
+
"learning_rate": 4.9000000000000005e-06,
|
| 56 |
+
"loss": 1.1144,
|
| 57 |
+
"step": 4000
|
| 58 |
+
},
|
| 59 |
+
{
|
| 60 |
+
"epoch": 0.76,
|
| 61 |
+
"learning_rate": 4.8875e-06,
|
| 62 |
+
"loss": 1.0829,
|
| 63 |
+
"step": 4500
|
| 64 |
+
},
|
| 65 |
+
{
|
| 66 |
+
"epoch": 0.85,
|
| 67 |
+
"learning_rate": 4.875e-06,
|
| 68 |
+
"loss": 1.0648,
|
| 69 |
+
"step": 5000
|
| 70 |
+
},
|
| 71 |
+
{
|
| 72 |
+
"epoch": 0.85,
|
| 73 |
+
"eval_loss": 1.3415521383285522,
|
| 74 |
+
"eval_runtime": 31.2796,
|
| 75 |
+
"eval_samples_per_second": 375.261,
|
| 76 |
+
"eval_steps_per_second": 46.932,
|
| 77 |
+
"step": 5000
|
| 78 |
+
},
|
| 79 |
+
{
|
| 80 |
+
"epoch": 0.93,
|
| 81 |
+
"learning_rate": 4.8625000000000005e-06,
|
| 82 |
+
"loss": 1.0567,
|
| 83 |
+
"step": 5500
|
| 84 |
+
},
|
| 85 |
+
{
|
| 86 |
+
"epoch": 1.02,
|
| 87 |
+
"learning_rate": 4.85e-06,
|
| 88 |
+
"loss": 1.0334,
|
| 89 |
+
"step": 6000
|
| 90 |
+
},
|
| 91 |
+
{
|
| 92 |
+
"epoch": 1.1,
|
| 93 |
+
"learning_rate": 4.837500000000001e-06,
|
| 94 |
+
"loss": 0.9995,
|
| 95 |
+
"step": 6500
|
| 96 |
+
},
|
| 97 |
+
{
|
| 98 |
+
"epoch": 1.19,
|
| 99 |
+
"learning_rate": 4.825e-06,
|
| 100 |
+
"loss": 0.9909,
|
| 101 |
+
"step": 7000
|
| 102 |
+
},
|
| 103 |
+
{
|
| 104 |
+
"epoch": 1.27,
|
| 105 |
+
"learning_rate": 4.8125e-06,
|
| 106 |
+
"loss": 0.9687,
|
| 107 |
+
"step": 7500
|
| 108 |
+
},
|
| 109 |
+
{
|
| 110 |
+
"epoch": 1.36,
|
| 111 |
+
"learning_rate": 4.800000000000001e-06,
|
| 112 |
+
"loss": 0.9444,
|
| 113 |
+
"step": 8000
|
| 114 |
+
},
|
| 115 |
+
{
|
| 116 |
+
"epoch": 1.44,
|
| 117 |
+
"learning_rate": 4.7875e-06,
|
| 118 |
+
"loss": 0.9547,
|
| 119 |
+
"step": 8500
|
| 120 |
+
},
|
| 121 |
+
{
|
| 122 |
+
"epoch": 1.53,
|
| 123 |
+
"learning_rate": 4.775e-06,
|
| 124 |
+
"loss": 0.9217,
|
| 125 |
+
"step": 9000
|
| 126 |
+
},
|
| 127 |
+
{
|
| 128 |
+
"epoch": 1.61,
|
| 129 |
+
"learning_rate": 4.7625000000000006e-06,
|
| 130 |
+
"loss": 0.9121,
|
| 131 |
+
"step": 9500
|
| 132 |
+
},
|
| 133 |
+
{
|
| 134 |
+
"epoch": 1.7,
|
| 135 |
+
"learning_rate": 4.75e-06,
|
| 136 |
+
"loss": 0.9045,
|
| 137 |
+
"step": 10000
|
| 138 |
+
},
|
| 139 |
+
{
|
| 140 |
+
"epoch": 1.7,
|
| 141 |
+
"eval_loss": 1.1334267854690552,
|
| 142 |
+
"eval_runtime": 33.2532,
|
| 143 |
+
"eval_samples_per_second": 352.989,
|
| 144 |
+
"eval_steps_per_second": 44.146,
|
| 145 |
+
"step": 10000
|
| 146 |
+
},
|
| 147 |
+
{
|
| 148 |
+
"epoch": 1.78,
|
| 149 |
+
"learning_rate": 4.737500000000001e-06,
|
| 150 |
+
"loss": 0.8987,
|
| 151 |
+
"step": 10500
|
| 152 |
+
},
|
| 153 |
+
{
|
| 154 |
+
"epoch": 1.87,
|
| 155 |
+
"learning_rate": 4.7250000000000005e-06,
|
| 156 |
+
"loss": 0.8923,
|
| 157 |
+
"step": 11000
|
| 158 |
+
},
|
| 159 |
+
{
|
| 160 |
+
"epoch": 1.95,
|
| 161 |
+
"learning_rate": 4.7125e-06,
|
| 162 |
+
"loss": 0.8711,
|
| 163 |
+
"step": 11500
|
| 164 |
+
},
|
| 165 |
+
{
|
| 166 |
+
"epoch": 2.04,
|
| 167 |
+
"learning_rate": 4.7e-06,
|
| 168 |
+
"loss": 0.8655,
|
| 169 |
+
"step": 12000
|
| 170 |
+
},
|
| 171 |
+
{
|
| 172 |
+
"epoch": 2.12,
|
| 173 |
+
"learning_rate": 4.6875000000000004e-06,
|
| 174 |
+
"loss": 0.8458,
|
| 175 |
+
"step": 12500
|
| 176 |
+
},
|
| 177 |
+
{
|
| 178 |
+
"epoch": 2.21,
|
| 179 |
+
"learning_rate": 4.675000000000001e-06,
|
| 180 |
+
"loss": 0.8454,
|
| 181 |
+
"step": 13000
|
| 182 |
+
},
|
| 183 |
+
{
|
| 184 |
+
"epoch": 2.29,
|
| 185 |
+
"learning_rate": 4.662500000000001e-06,
|
| 186 |
+
"loss": 0.822,
|
| 187 |
+
"step": 13500
|
| 188 |
+
},
|
| 189 |
+
{
|
| 190 |
+
"epoch": 2.38,
|
| 191 |
+
"learning_rate": 4.65e-06,
|
| 192 |
+
"loss": 0.8252,
|
| 193 |
+
"step": 14000
|
| 194 |
+
},
|
| 195 |
+
{
|
| 196 |
+
"epoch": 2.46,
|
| 197 |
+
"learning_rate": 4.6375e-06,
|
| 198 |
+
"loss": 0.8105,
|
| 199 |
+
"step": 14500
|
| 200 |
+
},
|
| 201 |
+
{
|
| 202 |
+
"epoch": 2.55,
|
| 203 |
+
"learning_rate": 4.625000000000001e-06,
|
| 204 |
+
"loss": 0.8092,
|
| 205 |
+
"step": 15000
|
| 206 |
+
},
|
| 207 |
+
{
|
| 208 |
+
"epoch": 2.55,
|
| 209 |
+
"eval_loss": 1.0175799131393433,
|
| 210 |
+
"eval_runtime": 30.8472,
|
| 211 |
+
"eval_samples_per_second": 380.521,
|
| 212 |
+
"eval_steps_per_second": 47.589,
|
| 213 |
+
"step": 15000
|
| 214 |
+
},
|
| 215 |
+
{
|
| 216 |
+
"epoch": 2.63,
|
| 217 |
+
"learning_rate": 4.6125e-06,
|
| 218 |
+
"loss": 0.8106,
|
| 219 |
+
"step": 15500
|
| 220 |
+
},
|
| 221 |
+
{
|
| 222 |
+
"epoch": 2.72,
|
| 223 |
+
"learning_rate": 4.600000000000001e-06,
|
| 224 |
+
"loss": 0.8025,
|
| 225 |
+
"step": 16000
|
| 226 |
+
},
|
| 227 |
+
{
|
| 228 |
+
"epoch": 2.8,
|
| 229 |
+
"learning_rate": 4.5875000000000005e-06,
|
| 230 |
+
"loss": 0.7931,
|
| 231 |
+
"step": 16500
|
| 232 |
+
},
|
| 233 |
+
{
|
| 234 |
+
"epoch": 2.89,
|
| 235 |
+
"learning_rate": 4.575e-06,
|
| 236 |
+
"loss": 0.8081,
|
| 237 |
+
"step": 17000
|
| 238 |
+
},
|
| 239 |
+
{
|
| 240 |
+
"epoch": 2.97,
|
| 241 |
+
"learning_rate": 4.5625e-06,
|
| 242 |
+
"loss": 0.7895,
|
| 243 |
+
"step": 17500
|
| 244 |
+
},
|
| 245 |
+
{
|
| 246 |
+
"epoch": 3.06,
|
| 247 |
+
"learning_rate": 4.5500000000000005e-06,
|
| 248 |
+
"loss": 0.7828,
|
| 249 |
+
"step": 18000
|
| 250 |
+
},
|
| 251 |
+
{
|
| 252 |
+
"epoch": 3.14,
|
| 253 |
+
"learning_rate": 4.5375e-06,
|
| 254 |
+
"loss": 0.7617,
|
| 255 |
+
"step": 18500
|
| 256 |
+
},
|
| 257 |
+
{
|
| 258 |
+
"epoch": 3.23,
|
| 259 |
+
"learning_rate": 4.525000000000001e-06,
|
| 260 |
+
"loss": 0.756,
|
| 261 |
+
"step": 19000
|
| 262 |
+
},
|
| 263 |
+
{
|
| 264 |
+
"epoch": 3.31,
|
| 265 |
+
"learning_rate": 4.5125e-06,
|
| 266 |
+
"loss": 0.7465,
|
| 267 |
+
"step": 19500
|
| 268 |
+
},
|
| 269 |
+
{
|
| 270 |
+
"epoch": 3.4,
|
| 271 |
+
"learning_rate": 4.5e-06,
|
| 272 |
+
"loss": 0.7432,
|
| 273 |
+
"step": 20000
|
| 274 |
+
},
|
| 275 |
+
{
|
| 276 |
+
"epoch": 3.4,
|
| 277 |
+
"eval_loss": 0.9422996044158936,
|
| 278 |
+
"eval_runtime": 28.729,
|
| 279 |
+
"eval_samples_per_second": 408.577,
|
| 280 |
+
"eval_steps_per_second": 51.098,
|
| 281 |
+
"step": 20000
|
| 282 |
+
},
|
| 283 |
+
{
|
| 284 |
+
"epoch": 3.48,
|
| 285 |
+
"learning_rate": 4.4875e-06,
|
| 286 |
+
"loss": 0.7522,
|
| 287 |
+
"step": 20500
|
| 288 |
+
},
|
| 289 |
+
{
|
| 290 |
+
"epoch": 3.57,
|
| 291 |
+
"learning_rate": 4.475e-06,
|
| 292 |
+
"loss": 0.7471,
|
| 293 |
+
"step": 21000
|
| 294 |
+
},
|
| 295 |
+
{
|
| 296 |
+
"epoch": 3.65,
|
| 297 |
+
"learning_rate": 4.4625e-06,
|
| 298 |
+
"loss": 0.7368,
|
| 299 |
+
"step": 21500
|
| 300 |
+
},
|
| 301 |
+
{
|
| 302 |
+
"epoch": 3.74,
|
| 303 |
+
"learning_rate": 4.450000000000001e-06,
|
| 304 |
+
"loss": 0.7467,
|
| 305 |
+
"step": 22000
|
| 306 |
+
},
|
| 307 |
+
{
|
| 308 |
+
"epoch": 3.82,
|
| 309 |
+
"learning_rate": 4.4375e-06,
|
| 310 |
+
"loss": 0.733,
|
| 311 |
+
"step": 22500
|
| 312 |
+
},
|
| 313 |
+
{
|
| 314 |
+
"epoch": 3.91,
|
| 315 |
+
"learning_rate": 4.425e-06,
|
| 316 |
+
"loss": 0.7281,
|
| 317 |
+
"step": 23000
|
| 318 |
+
},
|
| 319 |
+
{
|
| 320 |
+
"epoch": 3.99,
|
| 321 |
+
"learning_rate": 4.4125000000000005e-06,
|
| 322 |
+
"loss": 0.7269,
|
| 323 |
+
"step": 23500
|
| 324 |
+
},
|
| 325 |
+
{
|
| 326 |
+
"epoch": 4.08,
|
| 327 |
+
"learning_rate": 4.4e-06,
|
| 328 |
+
"loss": 0.7234,
|
| 329 |
+
"step": 24000
|
| 330 |
+
},
|
| 331 |
+
{
|
| 332 |
+
"epoch": 4.16,
|
| 333 |
+
"learning_rate": 4.3875e-06,
|
| 334 |
+
"loss": 0.7101,
|
| 335 |
+
"step": 24500
|
| 336 |
+
},
|
| 337 |
+
{
|
| 338 |
+
"epoch": 4.25,
|
| 339 |
+
"learning_rate": 4.3750000000000005e-06,
|
| 340 |
+
"loss": 0.7029,
|
| 341 |
+
"step": 25000
|
| 342 |
+
},
|
| 343 |
+
{
|
| 344 |
+
"epoch": 4.25,
|
| 345 |
+
"eval_loss": 0.8877292275428772,
|
| 346 |
+
"eval_runtime": 28.5804,
|
| 347 |
+
"eval_samples_per_second": 410.7,
|
| 348 |
+
"eval_steps_per_second": 51.364,
|
| 349 |
+
"step": 25000
|
| 350 |
+
},
|
| 351 |
+
{
|
| 352 |
+
"epoch": 4.33,
|
| 353 |
+
"learning_rate": 4.362500000000001e-06,
|
| 354 |
+
"loss": 0.6897,
|
| 355 |
+
"step": 25500
|
| 356 |
+
},
|
| 357 |
+
{
|
| 358 |
+
"epoch": 4.42,
|
| 359 |
+
"learning_rate": 4.350000000000001e-06,
|
| 360 |
+
"loss": 0.7004,
|
| 361 |
+
"step": 26000
|
| 362 |
+
},
|
| 363 |
+
{
|
| 364 |
+
"epoch": 4.5,
|
| 365 |
+
"learning_rate": 4.3375e-06,
|
| 366 |
+
"loss": 0.6925,
|
| 367 |
+
"step": 26500
|
| 368 |
+
},
|
| 369 |
+
{
|
| 370 |
+
"epoch": 4.59,
|
| 371 |
+
"learning_rate": 4.325e-06,
|
| 372 |
+
"loss": 0.6967,
|
| 373 |
+
"step": 27000
|
| 374 |
+
},
|
| 375 |
+
{
|
| 376 |
+
"epoch": 4.67,
|
| 377 |
+
"learning_rate": 4.312500000000001e-06,
|
| 378 |
+
"loss": 0.6872,
|
| 379 |
+
"step": 27500
|
| 380 |
+
},
|
| 381 |
+
{
|
| 382 |
+
"epoch": 4.76,
|
| 383 |
+
"learning_rate": 4.3e-06,
|
| 384 |
+
"loss": 0.6927,
|
| 385 |
+
"step": 28000
|
| 386 |
+
},
|
| 387 |
+
{
|
| 388 |
+
"epoch": 4.84,
|
| 389 |
+
"learning_rate": 4.287500000000001e-06,
|
| 390 |
+
"loss": 0.6745,
|
| 391 |
+
"step": 28500
|
| 392 |
+
},
|
| 393 |
+
{
|
| 394 |
+
"epoch": 4.93,
|
| 395 |
+
"learning_rate": 4.2750000000000006e-06,
|
| 396 |
+
"loss": 0.686,
|
| 397 |
+
"step": 29000
|
| 398 |
+
},
|
| 399 |
+
{
|
| 400 |
+
"epoch": 5.01,
|
| 401 |
+
"learning_rate": 4.2625e-06,
|
| 402 |
+
"loss": 0.6753,
|
| 403 |
+
"step": 29500
|
| 404 |
+
},
|
| 405 |
+
{
|
| 406 |
+
"epoch": 5.1,
|
| 407 |
+
"learning_rate": 4.25e-06,
|
| 408 |
+
"loss": 0.6609,
|
| 409 |
+
"step": 30000
|
| 410 |
+
},
|
| 411 |
+
{
|
| 412 |
+
"epoch": 5.1,
|
| 413 |
+
"eval_loss": 0.8455274105072021,
|
| 414 |
+
"eval_runtime": 31.1298,
|
| 415 |
+
"eval_samples_per_second": 377.066,
|
| 416 |
+
"eval_steps_per_second": 47.157,
|
| 417 |
+
"step": 30000
|
| 418 |
+
},
|
| 419 |
+
{
|
| 420 |
+
"epoch": 5.18,
|
| 421 |
+
"learning_rate": 4.2375000000000005e-06,
|
| 422 |
+
"loss": 0.668,
|
| 423 |
+
"step": 30500
|
| 424 |
+
},
|
| 425 |
+
{
|
| 426 |
+
"epoch": 5.27,
|
| 427 |
+
"learning_rate": 4.225e-06,
|
| 428 |
+
"loss": 0.6669,
|
| 429 |
+
"step": 31000
|
| 430 |
+
},
|
| 431 |
+
{
|
| 432 |
+
"epoch": 5.35,
|
| 433 |
+
"learning_rate": 4.212500000000001e-06,
|
| 434 |
+
"loss": 0.6514,
|
| 435 |
+
"step": 31500
|
| 436 |
+
},
|
| 437 |
+
{
|
| 438 |
+
"epoch": 5.44,
|
| 439 |
+
"learning_rate": 4.2000000000000004e-06,
|
| 440 |
+
"loss": 0.662,
|
| 441 |
+
"step": 32000
|
| 442 |
+
},
|
| 443 |
+
{
|
| 444 |
+
"epoch": 5.52,
|
| 445 |
+
"learning_rate": 4.1875e-06,
|
| 446 |
+
"loss": 0.6617,
|
| 447 |
+
"step": 32500
|
| 448 |
+
},
|
| 449 |
+
{
|
| 450 |
+
"epoch": 5.61,
|
| 451 |
+
"learning_rate": 4.175e-06,
|
| 452 |
+
"loss": 0.6561,
|
| 453 |
+
"step": 33000
|
| 454 |
+
},
|
| 455 |
+
{
|
| 456 |
+
"epoch": 5.69,
|
| 457 |
+
"learning_rate": 4.1625e-06,
|
| 458 |
+
"loss": 0.6551,
|
| 459 |
+
"step": 33500
|
| 460 |
+
},
|
| 461 |
+
{
|
| 462 |
+
"epoch": 5.78,
|
| 463 |
+
"learning_rate": 4.15e-06,
|
| 464 |
+
"loss": 0.6429,
|
| 465 |
+
"step": 34000
|
| 466 |
+
},
|
| 467 |
+
{
|
| 468 |
+
"epoch": 5.86,
|
| 469 |
+
"learning_rate": 4.137500000000001e-06,
|
| 470 |
+
"loss": 0.6332,
|
| 471 |
+
"step": 34500
|
| 472 |
+
},
|
| 473 |
+
{
|
| 474 |
+
"epoch": 5.95,
|
| 475 |
+
"learning_rate": 4.125e-06,
|
| 476 |
+
"loss": 0.6479,
|
| 477 |
+
"step": 35000
|
| 478 |
+
},
|
| 479 |
+
{
|
| 480 |
+
"epoch": 5.95,
|
| 481 |
+
"eval_loss": 0.81136155128479,
|
| 482 |
+
"eval_runtime": 28.2662,
|
| 483 |
+
"eval_samples_per_second": 415.267,
|
| 484 |
+
"eval_steps_per_second": 51.935,
|
| 485 |
+
"step": 35000
|
| 486 |
+
},
|
| 487 |
+
{
|
| 488 |
+
"epoch": 6.03,
|
| 489 |
+
"learning_rate": 4.1125e-06,
|
| 490 |
+
"loss": 0.6444,
|
| 491 |
+
"step": 35500
|
| 492 |
+
},
|
| 493 |
+
{
|
| 494 |
+
"epoch": 6.12,
|
| 495 |
+
"learning_rate": 4.1e-06,
|
| 496 |
+
"loss": 0.6345,
|
| 497 |
+
"step": 36000
|
| 498 |
+
},
|
| 499 |
+
{
|
| 500 |
+
"epoch": 6.2,
|
| 501 |
+
"learning_rate": 4.0875e-06,
|
| 502 |
+
"loss": 0.6274,
|
| 503 |
+
"step": 36500
|
| 504 |
+
},
|
| 505 |
+
{
|
| 506 |
+
"epoch": 6.29,
|
| 507 |
+
"learning_rate": 4.075e-06,
|
| 508 |
+
"loss": 0.6288,
|
| 509 |
+
"step": 37000
|
| 510 |
+
},
|
| 511 |
+
{
|
| 512 |
+
"epoch": 6.37,
|
| 513 |
+
"learning_rate": 4.0625000000000005e-06,
|
| 514 |
+
"loss": 0.6392,
|
| 515 |
+
"step": 37500
|
| 516 |
+
},
|
| 517 |
+
{
|
| 518 |
+
"epoch": 6.46,
|
| 519 |
+
"learning_rate": 4.05e-06,
|
| 520 |
+
"loss": 0.6252,
|
| 521 |
+
"step": 38000
|
| 522 |
+
},
|
| 523 |
+
{
|
| 524 |
+
"epoch": 6.54,
|
| 525 |
+
"learning_rate": 4.037500000000001e-06,
|
| 526 |
+
"loss": 0.6223,
|
| 527 |
+
"step": 38500
|
| 528 |
+
},
|
| 529 |
+
{
|
| 530 |
+
"epoch": 6.63,
|
| 531 |
+
"learning_rate": 4.0250000000000004e-06,
|
| 532 |
+
"loss": 0.6155,
|
| 533 |
+
"step": 39000
|
| 534 |
+
},
|
| 535 |
+
{
|
| 536 |
+
"epoch": 6.71,
|
| 537 |
+
"learning_rate": 4.0125e-06,
|
| 538 |
+
"loss": 0.6287,
|
| 539 |
+
"step": 39500
|
| 540 |
+
},
|
| 541 |
+
{
|
| 542 |
+
"epoch": 6.8,
|
| 543 |
+
"learning_rate": 4.000000000000001e-06,
|
| 544 |
+
"loss": 0.624,
|
| 545 |
+
"step": 40000
|
| 546 |
+
},
|
| 547 |
+
{
|
| 548 |
+
"epoch": 6.8,
|
| 549 |
+
"eval_loss": 0.7838146090507507,
|
| 550 |
+
"eval_runtime": 30.7199,
|
| 551 |
+
"eval_samples_per_second": 382.097,
|
| 552 |
+
"eval_steps_per_second": 47.787,
|
| 553 |
+
"step": 40000
|
| 554 |
+
},
|
| 555 |
+
{
|
| 556 |
+
"epoch": 6.88,
|
| 557 |
+
"learning_rate": 3.9875e-06,
|
| 558 |
+
"loss": 0.612,
|
| 559 |
+
"step": 40500
|
| 560 |
+
},
|
| 561 |
+
{
|
| 562 |
+
"epoch": 6.97,
|
| 563 |
+
"learning_rate": 3.975000000000001e-06,
|
| 564 |
+
"loss": 0.6172,
|
| 565 |
+
"step": 41000
|
| 566 |
+
},
|
| 567 |
+
{
|
| 568 |
+
"epoch": 7.05,
|
| 569 |
+
"learning_rate": 3.962500000000001e-06,
|
| 570 |
+
"loss": 0.6094,
|
| 571 |
+
"step": 41500
|
| 572 |
+
},
|
| 573 |
+
{
|
| 574 |
+
"epoch": 7.14,
|
| 575 |
+
"learning_rate": 3.95e-06,
|
| 576 |
+
"loss": 0.603,
|
| 577 |
+
"step": 42000
|
| 578 |
+
},
|
| 579 |
+
{
|
| 580 |
+
"epoch": 7.22,
|
| 581 |
+
"learning_rate": 3.9375e-06,
|
| 582 |
+
"loss": 0.6002,
|
| 583 |
+
"step": 42500
|
| 584 |
+
},
|
| 585 |
+
{
|
| 586 |
+
"epoch": 7.31,
|
| 587 |
+
"learning_rate": 3.9250000000000005e-06,
|
| 588 |
+
"loss": 0.6095,
|
| 589 |
+
"step": 43000
|
| 590 |
+
},
|
| 591 |
+
{
|
| 592 |
+
"epoch": 7.39,
|
| 593 |
+
"learning_rate": 3.9125e-06,
|
| 594 |
+
"loss": 0.5925,
|
| 595 |
+
"step": 43500
|
| 596 |
+
},
|
| 597 |
+
{
|
| 598 |
+
"epoch": 7.48,
|
| 599 |
+
"learning_rate": 3.900000000000001e-06,
|
| 600 |
+
"loss": 0.593,
|
| 601 |
+
"step": 44000
|
| 602 |
+
},
|
| 603 |
+
{
|
| 604 |
+
"epoch": 7.56,
|
| 605 |
+
"learning_rate": 3.8875000000000005e-06,
|
| 606 |
+
"loss": 0.5963,
|
| 607 |
+
"step": 44500
|
| 608 |
+
},
|
| 609 |
+
{
|
| 610 |
+
"epoch": 7.65,
|
| 611 |
+
"learning_rate": 3.875e-06,
|
| 612 |
+
"loss": 0.6045,
|
| 613 |
+
"step": 45000
|
| 614 |
+
},
|
| 615 |
+
{
|
| 616 |
+
"epoch": 7.65,
|
| 617 |
+
"eval_loss": 0.7607721090316772,
|
| 618 |
+
"eval_runtime": 30.9239,
|
| 619 |
+
"eval_samples_per_second": 379.577,
|
| 620 |
+
"eval_steps_per_second": 47.471,
|
| 621 |
+
"step": 45000
|
| 622 |
+
},
|
| 623 |
+
{
|
| 624 |
+
"epoch": 7.73,
|
| 625 |
+
"learning_rate": 3.8625e-06,
|
| 626 |
+
"loss": 0.5967,
|
| 627 |
+
"step": 45500
|
| 628 |
+
},
|
| 629 |
+
{
|
| 630 |
+
"epoch": 7.82,
|
| 631 |
+
"learning_rate": 3.85e-06,
|
| 632 |
+
"loss": 0.5958,
|
| 633 |
+
"step": 46000
|
| 634 |
+
},
|
| 635 |
+
{
|
| 636 |
+
"epoch": 7.9,
|
| 637 |
+
"learning_rate": 3.8375e-06,
|
| 638 |
+
"loss": 0.5856,
|
| 639 |
+
"step": 46500
|
| 640 |
+
},
|
| 641 |
+
{
|
| 642 |
+
"epoch": 7.99,
|
| 643 |
+
"learning_rate": 3.825000000000001e-06,
|
| 644 |
+
"loss": 0.5957,
|
| 645 |
+
"step": 47000
|
| 646 |
+
},
|
| 647 |
+
{
|
| 648 |
+
"epoch": 8.07,
|
| 649 |
+
"learning_rate": 3.8125e-06,
|
| 650 |
+
"loss": 0.5742,
|
| 651 |
+
"step": 47500
|
| 652 |
+
},
|
| 653 |
+
{
|
| 654 |
+
"epoch": 8.16,
|
| 655 |
+
"learning_rate": 3.8000000000000005e-06,
|
| 656 |
+
"loss": 0.5745,
|
| 657 |
+
"step": 48000
|
| 658 |
+
},
|
| 659 |
+
{
|
| 660 |
+
"epoch": 8.24,
|
| 661 |
+
"learning_rate": 3.7875e-06,
|
| 662 |
+
"loss": 0.5847,
|
| 663 |
+
"step": 48500
|
| 664 |
+
},
|
| 665 |
+
{
|
| 666 |
+
"epoch": 8.33,
|
| 667 |
+
"learning_rate": 3.7750000000000003e-06,
|
| 668 |
+
"loss": 0.5826,
|
| 669 |
+
"step": 49000
|
| 670 |
+
},
|
| 671 |
+
{
|
| 672 |
+
"epoch": 8.41,
|
| 673 |
+
"learning_rate": 3.7625e-06,
|
| 674 |
+
"loss": 0.5765,
|
| 675 |
+
"step": 49500
|
| 676 |
+
},
|
| 677 |
+
{
|
| 678 |
+
"epoch": 8.5,
|
| 679 |
+
"learning_rate": 3.7500000000000005e-06,
|
| 680 |
+
"loss": 0.571,
|
| 681 |
+
"step": 50000
|
| 682 |
+
},
|
| 683 |
+
{
|
| 684 |
+
"epoch": 8.5,
|
| 685 |
+
"eval_loss": 0.7427138686180115,
|
| 686 |
+
"eval_runtime": 32.0182,
|
| 687 |
+
"eval_samples_per_second": 366.604,
|
| 688 |
+
"eval_steps_per_second": 45.849,
|
| 689 |
+
"step": 50000
|
| 690 |
+
},
|
| 691 |
+
{
|
| 692 |
+
"epoch": 8.58,
|
| 693 |
+
"learning_rate": 3.7375000000000006e-06,
|
| 694 |
+
"loss": 0.5777,
|
| 695 |
+
"step": 50500
|
| 696 |
+
},
|
| 697 |
+
{
|
| 698 |
+
"epoch": 8.67,
|
| 699 |
+
"learning_rate": 3.7250000000000003e-06,
|
| 700 |
+
"loss": 0.573,
|
| 701 |
+
"step": 51000
|
| 702 |
+
},
|
| 703 |
+
{
|
| 704 |
+
"epoch": 8.75,
|
| 705 |
+
"learning_rate": 3.7125000000000005e-06,
|
| 706 |
+
"loss": 0.5813,
|
| 707 |
+
"step": 51500
|
| 708 |
+
},
|
| 709 |
+
{
|
| 710 |
+
"epoch": 8.84,
|
| 711 |
+
"learning_rate": 3.7e-06,
|
| 712 |
+
"loss": 0.5715,
|
| 713 |
+
"step": 52000
|
| 714 |
+
},
|
| 715 |
+
{
|
| 716 |
+
"epoch": 8.92,
|
| 717 |
+
"learning_rate": 3.6875000000000007e-06,
|
| 718 |
+
"loss": 0.5636,
|
| 719 |
+
"step": 52500
|
| 720 |
+
},
|
| 721 |
+
{
|
| 722 |
+
"epoch": 9.01,
|
| 723 |
+
"learning_rate": 3.6750000000000004e-06,
|
| 724 |
+
"loss": 0.5749,
|
| 725 |
+
"step": 53000
|
| 726 |
+
},
|
| 727 |
+
{
|
| 728 |
+
"epoch": 9.09,
|
| 729 |
+
"learning_rate": 3.6625000000000005e-06,
|
| 730 |
+
"loss": 0.573,
|
| 731 |
+
"step": 53500
|
| 732 |
+
},
|
| 733 |
+
{
|
| 734 |
+
"epoch": 9.18,
|
| 735 |
+
"learning_rate": 3.65e-06,
|
| 736 |
+
"loss": 0.5606,
|
| 737 |
+
"step": 54000
|
| 738 |
+
},
|
| 739 |
+
{
|
| 740 |
+
"epoch": 9.26,
|
| 741 |
+
"learning_rate": 3.6375000000000003e-06,
|
| 742 |
+
"loss": 0.5553,
|
| 743 |
+
"step": 54500
|
| 744 |
+
},
|
| 745 |
+
{
|
| 746 |
+
"epoch": 9.35,
|
| 747 |
+
"learning_rate": 3.625e-06,
|
| 748 |
+
"loss": 0.5637,
|
| 749 |
+
"step": 55000
|
| 750 |
+
},
|
| 751 |
+
{
|
| 752 |
+
"epoch": 9.35,
|
| 753 |
+
"eval_loss": 0.7249044179916382,
|
| 754 |
+
"eval_runtime": 32.2708,
|
| 755 |
+
"eval_samples_per_second": 363.734,
|
| 756 |
+
"eval_steps_per_second": 45.49,
|
| 757 |
+
"step": 55000
|
| 758 |
+
},
|
| 759 |
+
{
|
| 760 |
+
"epoch": 9.43,
|
| 761 |
+
"learning_rate": 3.6125000000000006e-06,
|
| 762 |
+
"loss": 0.5553,
|
| 763 |
+
"step": 55500
|
| 764 |
+
},
|
| 765 |
+
{
|
| 766 |
+
"epoch": 9.52,
|
| 767 |
+
"learning_rate": 3.6000000000000003e-06,
|
| 768 |
+
"loss": 0.5648,
|
| 769 |
+
"step": 56000
|
| 770 |
+
},
|
| 771 |
+
{
|
| 772 |
+
"epoch": 9.6,
|
| 773 |
+
"learning_rate": 3.5875000000000004e-06,
|
| 774 |
+
"loss": 0.5512,
|
| 775 |
+
"step": 56500
|
| 776 |
+
},
|
| 777 |
+
{
|
| 778 |
+
"epoch": 9.69,
|
| 779 |
+
"learning_rate": 3.575e-06,
|
| 780 |
+
"loss": 0.5534,
|
| 781 |
+
"step": 57000
|
| 782 |
+
},
|
| 783 |
+
{
|
| 784 |
+
"epoch": 9.77,
|
| 785 |
+
"learning_rate": 3.5625e-06,
|
| 786 |
+
"loss": 0.5544,
|
| 787 |
+
"step": 57500
|
| 788 |
+
},
|
| 789 |
+
{
|
| 790 |
+
"epoch": 9.86,
|
| 791 |
+
"learning_rate": 3.5500000000000003e-06,
|
| 792 |
+
"loss": 0.5508,
|
| 793 |
+
"step": 58000
|
| 794 |
+
},
|
| 795 |
+
{
|
| 796 |
+
"epoch": 9.94,
|
| 797 |
+
"learning_rate": 3.5375000000000004e-06,
|
| 798 |
+
"loss": 0.5458,
|
| 799 |
+
"step": 58500
|
| 800 |
+
},
|
| 801 |
+
{
|
| 802 |
+
"epoch": 10.03,
|
| 803 |
+
"learning_rate": 3.525e-06,
|
| 804 |
+
"loss": 0.557,
|
| 805 |
+
"step": 59000
|
| 806 |
+
},
|
| 807 |
+
{
|
| 808 |
+
"epoch": 10.11,
|
| 809 |
+
"learning_rate": 3.5125000000000003e-06,
|
| 810 |
+
"loss": 0.5406,
|
| 811 |
+
"step": 59500
|
| 812 |
+
},
|
| 813 |
+
{
|
| 814 |
+
"epoch": 10.2,
|
| 815 |
+
"learning_rate": 3.5e-06,
|
| 816 |
+
"loss": 0.5488,
|
| 817 |
+
"step": 60000
|
| 818 |
+
},
|
| 819 |
+
{
|
| 820 |
+
"epoch": 10.2,
|
| 821 |
+
"eval_loss": 0.7100504636764526,
|
| 822 |
+
"eval_runtime": 32.186,
|
| 823 |
+
"eval_samples_per_second": 364.692,
|
| 824 |
+
"eval_steps_per_second": 45.61,
|
| 825 |
+
"step": 60000
|
| 826 |
+
},
|
| 827 |
+
{
|
| 828 |
+
"epoch": 10.28,
|
| 829 |
+
"learning_rate": 3.4875000000000005e-06,
|
| 830 |
+
"loss": 0.5462,
|
| 831 |
+
"step": 60500
|
| 832 |
+
},
|
| 833 |
+
{
|
| 834 |
+
"epoch": 10.37,
|
| 835 |
+
"learning_rate": 3.475e-06,
|
| 836 |
+
"loss": 0.5364,
|
| 837 |
+
"step": 61000
|
| 838 |
+
},
|
| 839 |
+
{
|
| 840 |
+
"epoch": 10.45,
|
| 841 |
+
"learning_rate": 3.4625000000000003e-06,
|
| 842 |
+
"loss": 0.5452,
|
| 843 |
+
"step": 61500
|
| 844 |
+
},
|
| 845 |
+
{
|
| 846 |
+
"epoch": 10.54,
|
| 847 |
+
"learning_rate": 3.45e-06,
|
| 848 |
+
"loss": 0.5449,
|
| 849 |
+
"step": 62000
|
| 850 |
+
},
|
| 851 |
+
{
|
| 852 |
+
"epoch": 10.62,
|
| 853 |
+
"learning_rate": 3.4375e-06,
|
| 854 |
+
"loss": 0.5353,
|
| 855 |
+
"step": 62500
|
| 856 |
+
},
|
| 857 |
+
{
|
| 858 |
+
"epoch": 10.71,
|
| 859 |
+
"learning_rate": 3.4250000000000007e-06,
|
| 860 |
+
"loss": 0.5359,
|
| 861 |
+
"step": 63000
|
| 862 |
+
},
|
| 863 |
+
{
|
| 864 |
+
"epoch": 10.79,
|
| 865 |
+
"learning_rate": 3.4125000000000004e-06,
|
| 866 |
+
"loss": 0.5356,
|
| 867 |
+
"step": 63500
|
| 868 |
+
},
|
| 869 |
+
{
|
| 870 |
+
"epoch": 10.88,
|
| 871 |
+
"learning_rate": 3.4000000000000005e-06,
|
| 872 |
+
"loss": 0.5385,
|
| 873 |
+
"step": 64000
|
| 874 |
+
},
|
| 875 |
+
{
|
| 876 |
+
"epoch": 10.96,
|
| 877 |
+
"learning_rate": 3.3875e-06,
|
| 878 |
+
"loss": 0.53,
|
| 879 |
+
"step": 64500
|
| 880 |
+
},
|
| 881 |
+
{
|
| 882 |
+
"epoch": 11.05,
|
| 883 |
+
"learning_rate": 3.3750000000000003e-06,
|
| 884 |
+
"loss": 0.525,
|
| 885 |
+
"step": 65000
|
| 886 |
+
},
|
| 887 |
+
{
|
| 888 |
+
"epoch": 11.05,
|
| 889 |
+
"eval_loss": 0.6971380114555359,
|
| 890 |
+
"eval_runtime": 29.293,
|
| 891 |
+
"eval_samples_per_second": 400.71,
|
| 892 |
+
"eval_steps_per_second": 50.114,
|
| 893 |
+
"step": 65000
|
| 894 |
+
},
|
| 895 |
+
{
|
| 896 |
+
"epoch": 11.13,
|
| 897 |
+
"learning_rate": 3.3625000000000004e-06,
|
| 898 |
+
"loss": 0.519,
|
| 899 |
+
"step": 65500
|
| 900 |
+
},
|
| 901 |
+
{
|
| 902 |
+
"epoch": 11.22,
|
| 903 |
+
"learning_rate": 3.3500000000000005e-06,
|
| 904 |
+
"loss": 0.5309,
|
| 905 |
+
"step": 66000
|
| 906 |
+
},
|
| 907 |
+
{
|
| 908 |
+
"epoch": 11.3,
|
| 909 |
+
"learning_rate": 3.3375000000000002e-06,
|
| 910 |
+
"loss": 0.5314,
|
| 911 |
+
"step": 66500
|
| 912 |
+
},
|
| 913 |
+
{
|
| 914 |
+
"epoch": 11.39,
|
| 915 |
+
"learning_rate": 3.3250000000000004e-06,
|
| 916 |
+
"loss": 0.5255,
|
| 917 |
+
"step": 67000
|
| 918 |
+
},
|
| 919 |
+
{
|
| 920 |
+
"epoch": 11.47,
|
| 921 |
+
"learning_rate": 3.3125e-06,
|
| 922 |
+
"loss": 0.5297,
|
| 923 |
+
"step": 67500
|
| 924 |
+
},
|
| 925 |
+
{
|
| 926 |
+
"epoch": 11.56,
|
| 927 |
+
"learning_rate": 3.3000000000000006e-06,
|
| 928 |
+
"loss": 0.5238,
|
| 929 |
+
"step": 68000
|
| 930 |
+
},
|
| 931 |
+
{
|
| 932 |
+
"epoch": 11.64,
|
| 933 |
+
"learning_rate": 3.2875000000000003e-06,
|
| 934 |
+
"loss": 0.5162,
|
| 935 |
+
"step": 68500
|
| 936 |
+
},
|
| 937 |
+
{
|
| 938 |
+
"epoch": 11.73,
|
| 939 |
+
"learning_rate": 3.2750000000000004e-06,
|
| 940 |
+
"loss": 0.5187,
|
| 941 |
+
"step": 69000
|
| 942 |
+
},
|
| 943 |
+
{
|
| 944 |
+
"epoch": 11.81,
|
| 945 |
+
"learning_rate": 3.2625e-06,
|
| 946 |
+
"loss": 0.5249,
|
| 947 |
+
"step": 69500
|
| 948 |
+
},
|
| 949 |
+
{
|
| 950 |
+
"epoch": 11.9,
|
| 951 |
+
"learning_rate": 3.2500000000000002e-06,
|
| 952 |
+
"loss": 0.5283,
|
| 953 |
+
"step": 70000
|
| 954 |
+
},
|
| 955 |
+
{
|
| 956 |
+
"epoch": 11.9,
|
| 957 |
+
"eval_loss": 0.685904324054718,
|
| 958 |
+
"eval_runtime": 29.2682,
|
| 959 |
+
"eval_samples_per_second": 401.05,
|
| 960 |
+
"eval_steps_per_second": 50.157,
|
| 961 |
+
"step": 70000
|
| 962 |
+
},
|
| 963 |
+
{
|
| 964 |
+
"epoch": 11.98,
|
| 965 |
+
"learning_rate": 3.2375e-06,
|
| 966 |
+
"loss": 0.5261,
|
| 967 |
+
"step": 70500
|
| 968 |
+
},
|
| 969 |
+
{
|
| 970 |
+
"epoch": 12.07,
|
| 971 |
+
"learning_rate": 3.2250000000000005e-06,
|
| 972 |
+
"loss": 0.5099,
|
| 973 |
+
"step": 71000
|
| 974 |
+
},
|
| 975 |
+
{
|
| 976 |
+
"epoch": 12.15,
|
| 977 |
+
"learning_rate": 3.2125e-06,
|
| 978 |
+
"loss": 0.5187,
|
| 979 |
+
"step": 71500
|
| 980 |
+
},
|
| 981 |
+
{
|
| 982 |
+
"epoch": 12.24,
|
| 983 |
+
"learning_rate": 3.2000000000000003e-06,
|
| 984 |
+
"loss": 0.5144,
|
| 985 |
+
"step": 72000
|
| 986 |
+
},
|
| 987 |
+
{
|
| 988 |
+
"epoch": 12.32,
|
| 989 |
+
"learning_rate": 3.1875e-06,
|
| 990 |
+
"loss": 0.515,
|
| 991 |
+
"step": 72500
|
| 992 |
+
},
|
| 993 |
+
{
|
| 994 |
+
"epoch": 12.41,
|
| 995 |
+
"learning_rate": 3.175e-06,
|
| 996 |
+
"loss": 0.5158,
|
| 997 |
+
"step": 73000
|
| 998 |
+
},
|
| 999 |
+
{
|
| 1000 |
+
"epoch": 12.49,
|
| 1001 |
+
"learning_rate": 3.1625000000000002e-06,
|
| 1002 |
+
"loss": 0.5078,
|
| 1003 |
+
"step": 73500
|
| 1004 |
+
},
|
| 1005 |
+
{
|
| 1006 |
+
"epoch": 12.58,
|
| 1007 |
+
"learning_rate": 3.1500000000000003e-06,
|
| 1008 |
+
"loss": 0.5068,
|
| 1009 |
+
"step": 74000
|
| 1010 |
+
},
|
| 1011 |
+
{
|
| 1012 |
+
"epoch": 12.66,
|
| 1013 |
+
"learning_rate": 3.1375e-06,
|
| 1014 |
+
"loss": 0.5114,
|
| 1015 |
+
"step": 74500
|
| 1016 |
+
},
|
| 1017 |
+
{
|
| 1018 |
+
"epoch": 12.75,
|
| 1019 |
+
"learning_rate": 3.125e-06,
|
| 1020 |
+
"loss": 0.522,
|
| 1021 |
+
"step": 75000
|
| 1022 |
+
},
|
| 1023 |
+
{
|
| 1024 |
+
"epoch": 12.75,
|
| 1025 |
+
"eval_loss": 0.6754906177520752,
|
| 1026 |
+
"eval_runtime": 29.2581,
|
| 1027 |
+
"eval_samples_per_second": 401.188,
|
| 1028 |
+
"eval_steps_per_second": 50.174,
|
| 1029 |
+
"step": 75000
|
| 1030 |
+
},
|
| 1031 |
+
{
|
| 1032 |
+
"epoch": 12.83,
|
| 1033 |
+
"learning_rate": 3.1125000000000007e-06,
|
| 1034 |
+
"loss": 0.5094,
|
| 1035 |
+
"step": 75500
|
| 1036 |
+
},
|
| 1037 |
+
{
|
| 1038 |
+
"epoch": 12.92,
|
| 1039 |
+
"learning_rate": 3.1000000000000004e-06,
|
| 1040 |
+
"loss": 0.5108,
|
| 1041 |
+
"step": 76000
|
| 1042 |
+
},
|
| 1043 |
+
{
|
| 1044 |
+
"epoch": 13.0,
|
| 1045 |
+
"learning_rate": 3.0875000000000005e-06,
|
| 1046 |
+
"loss": 0.5065,
|
| 1047 |
+
"step": 76500
|
| 1048 |
+
},
|
| 1049 |
+
{
|
| 1050 |
+
"epoch": 13.09,
|
| 1051 |
+
"learning_rate": 3.075e-06,
|
| 1052 |
+
"loss": 0.5033,
|
| 1053 |
+
"step": 77000
|
| 1054 |
+
},
|
| 1055 |
+
{
|
| 1056 |
+
"epoch": 13.17,
|
| 1057 |
+
"learning_rate": 3.0625000000000003e-06,
|
| 1058 |
+
"loss": 0.5032,
|
| 1059 |
+
"step": 77500
|
| 1060 |
+
},
|
| 1061 |
+
{
|
| 1062 |
+
"epoch": 13.26,
|
| 1063 |
+
"learning_rate": 3.05e-06,
|
| 1064 |
+
"loss": 0.5011,
|
| 1065 |
+
"step": 78000
|
| 1066 |
+
},
|
| 1067 |
+
{
|
| 1068 |
+
"epoch": 13.34,
|
| 1069 |
+
"learning_rate": 3.0375000000000006e-06,
|
| 1070 |
+
"loss": 0.5007,
|
| 1071 |
+
"step": 78500
|
| 1072 |
+
},
|
| 1073 |
+
{
|
| 1074 |
+
"epoch": 13.43,
|
| 1075 |
+
"learning_rate": 3.0250000000000003e-06,
|
| 1076 |
+
"loss": 0.4989,
|
| 1077 |
+
"step": 79000
|
| 1078 |
+
},
|
| 1079 |
+
{
|
| 1080 |
+
"epoch": 13.51,
|
| 1081 |
+
"learning_rate": 3.0125000000000004e-06,
|
| 1082 |
+
"loss": 0.4992,
|
| 1083 |
+
"step": 79500
|
| 1084 |
+
},
|
| 1085 |
+
{
|
| 1086 |
+
"epoch": 13.6,
|
| 1087 |
+
"learning_rate": 3e-06,
|
| 1088 |
+
"loss": 0.4996,
|
| 1089 |
+
"step": 80000
|
| 1090 |
+
},
|
| 1091 |
+
{
|
| 1092 |
+
"epoch": 13.6,
|
| 1093 |
+
"eval_loss": 0.6659587025642395,
|
| 1094 |
+
"eval_runtime": 29.4004,
|
| 1095 |
+
"eval_samples_per_second": 399.247,
|
| 1096 |
+
"eval_steps_per_second": 49.931,
|
| 1097 |
+
"step": 80000
|
| 1098 |
+
},
|
| 1099 |
+
{
|
| 1100 |
+
"epoch": 13.68,
|
| 1101 |
+
"learning_rate": 2.9875e-06,
|
| 1102 |
+
"loss": 0.5022,
|
| 1103 |
+
"step": 80500
|
| 1104 |
+
},
|
| 1105 |
+
{
|
| 1106 |
+
"epoch": 13.77,
|
| 1107 |
+
"learning_rate": 2.9750000000000003e-06,
|
| 1108 |
+
"loss": 0.4983,
|
| 1109 |
+
"step": 81000
|
| 1110 |
+
},
|
| 1111 |
+
{
|
| 1112 |
+
"epoch": 13.85,
|
| 1113 |
+
"learning_rate": 2.9625000000000004e-06,
|
| 1114 |
+
"loss": 0.502,
|
| 1115 |
+
"step": 81500
|
| 1116 |
+
},
|
| 1117 |
+
{
|
| 1118 |
+
"epoch": 13.94,
|
| 1119 |
+
"learning_rate": 2.95e-06,
|
| 1120 |
+
"loss": 0.495,
|
| 1121 |
+
"step": 82000
|
| 1122 |
+
},
|
| 1123 |
+
{
|
| 1124 |
+
"epoch": 14.02,
|
| 1125 |
+
"learning_rate": 2.9375000000000003e-06,
|
| 1126 |
+
"loss": 0.4967,
|
| 1127 |
+
"step": 82500
|
| 1128 |
+
},
|
| 1129 |
+
{
|
| 1130 |
+
"epoch": 14.11,
|
| 1131 |
+
"learning_rate": 2.925e-06,
|
| 1132 |
+
"loss": 0.4947,
|
| 1133 |
+
"step": 83000
|
| 1134 |
+
},
|
| 1135 |
+
{
|
| 1136 |
+
"epoch": 14.19,
|
| 1137 |
+
"learning_rate": 2.9125000000000005e-06,
|
| 1138 |
+
"loss": 0.4841,
|
| 1139 |
+
"step": 83500
|
| 1140 |
+
},
|
| 1141 |
+
{
|
| 1142 |
+
"epoch": 14.28,
|
| 1143 |
+
"learning_rate": 2.9e-06,
|
| 1144 |
+
"loss": 0.4922,
|
| 1145 |
+
"step": 84000
|
| 1146 |
+
},
|
| 1147 |
+
{
|
| 1148 |
+
"epoch": 14.36,
|
| 1149 |
+
"learning_rate": 2.8875000000000003e-06,
|
| 1150 |
+
"loss": 0.4925,
|
| 1151 |
+
"step": 84500
|
| 1152 |
+
},
|
| 1153 |
+
{
|
| 1154 |
+
"epoch": 14.45,
|
| 1155 |
+
"learning_rate": 2.875e-06,
|
| 1156 |
+
"loss": 0.4868,
|
| 1157 |
+
"step": 85000
|
| 1158 |
+
},
|
| 1159 |
+
{
|
| 1160 |
+
"epoch": 14.45,
|
| 1161 |
+
"eval_loss": 0.6585991978645325,
|
| 1162 |
+
"eval_runtime": 29.5661,
|
| 1163 |
+
"eval_samples_per_second": 397.009,
|
| 1164 |
+
"eval_steps_per_second": 49.652,
|
| 1165 |
+
"step": 85000
|
| 1166 |
+
},
|
| 1167 |
+
{
|
| 1168 |
+
"epoch": 14.53,
|
| 1169 |
+
"learning_rate": 2.8625e-06,
|
| 1170 |
+
"loss": 0.4943,
|
| 1171 |
+
"step": 85500
|
| 1172 |
+
},
|
| 1173 |
+
{
|
| 1174 |
+
"epoch": 14.62,
|
| 1175 |
+
"learning_rate": 2.85e-06,
|
| 1176 |
+
"loss": 0.4887,
|
| 1177 |
+
"step": 86000
|
| 1178 |
+
},
|
| 1179 |
+
{
|
| 1180 |
+
"epoch": 14.7,
|
| 1181 |
+
"learning_rate": 2.8375000000000004e-06,
|
| 1182 |
+
"loss": 0.4832,
|
| 1183 |
+
"step": 86500
|
| 1184 |
+
},
|
| 1185 |
+
{
|
| 1186 |
+
"epoch": 14.79,
|
| 1187 |
+
"learning_rate": 2.825e-06,
|
| 1188 |
+
"loss": 0.4922,
|
| 1189 |
+
"step": 87000
|
| 1190 |
+
},
|
| 1191 |
+
{
|
| 1192 |
+
"epoch": 14.87,
|
| 1193 |
+
"learning_rate": 2.8125e-06,
|
| 1194 |
+
"loss": 0.483,
|
| 1195 |
+
"step": 87500
|
| 1196 |
+
},
|
| 1197 |
+
{
|
| 1198 |
+
"epoch": 14.96,
|
| 1199 |
+
"learning_rate": 2.8000000000000003e-06,
|
| 1200 |
+
"loss": 0.4924,
|
| 1201 |
+
"step": 88000
|
| 1202 |
+
},
|
| 1203 |
+
{
|
| 1204 |
+
"epoch": 15.04,
|
| 1205 |
+
"learning_rate": 2.7875000000000004e-06,
|
| 1206 |
+
"loss": 0.4836,
|
| 1207 |
+
"step": 88500
|
| 1208 |
+
},
|
| 1209 |
+
{
|
| 1210 |
+
"epoch": 15.13,
|
| 1211 |
+
"learning_rate": 2.7750000000000005e-06,
|
| 1212 |
+
"loss": 0.4736,
|
| 1213 |
+
"step": 89000
|
| 1214 |
+
},
|
| 1215 |
+
{
|
| 1216 |
+
"epoch": 15.21,
|
| 1217 |
+
"learning_rate": 2.7625000000000002e-06,
|
| 1218 |
+
"loss": 0.4799,
|
| 1219 |
+
"step": 89500
|
| 1220 |
+
},
|
| 1221 |
+
{
|
| 1222 |
+
"epoch": 15.3,
|
| 1223 |
+
"learning_rate": 2.7500000000000004e-06,
|
| 1224 |
+
"loss": 0.4773,
|
| 1225 |
+
"step": 90000
|
| 1226 |
+
},
|
| 1227 |
+
{
|
| 1228 |
+
"epoch": 15.3,
|
| 1229 |
+
"eval_loss": 0.6510518789291382,
|
| 1230 |
+
"eval_runtime": 28.0473,
|
| 1231 |
+
"eval_samples_per_second": 418.507,
|
| 1232 |
+
"eval_steps_per_second": 52.34,
|
| 1233 |
+
"step": 90000
|
| 1234 |
+
},
|
| 1235 |
+
{
|
| 1236 |
+
"epoch": 15.38,
|
| 1237 |
+
"learning_rate": 2.7375e-06,
|
| 1238 |
+
"loss": 0.4791,
|
| 1239 |
+
"step": 90500
|
| 1240 |
+
},
|
| 1241 |
+
{
|
| 1242 |
+
"epoch": 15.47,
|
| 1243 |
+
"learning_rate": 2.7250000000000006e-06,
|
| 1244 |
+
"loss": 0.4788,
|
| 1245 |
+
"step": 91000
|
| 1246 |
+
},
|
| 1247 |
+
{
|
| 1248 |
+
"epoch": 15.55,
|
| 1249 |
+
"learning_rate": 2.7125000000000003e-06,
|
| 1250 |
+
"loss": 0.4759,
|
| 1251 |
+
"step": 91500
|
| 1252 |
+
},
|
| 1253 |
+
{
|
| 1254 |
+
"epoch": 15.64,
|
| 1255 |
+
"learning_rate": 2.7000000000000004e-06,
|
| 1256 |
+
"loss": 0.4784,
|
| 1257 |
+
"step": 92000
|
| 1258 |
+
},
|
| 1259 |
+
{
|
| 1260 |
+
"epoch": 15.72,
|
| 1261 |
+
"learning_rate": 2.6875e-06,
|
| 1262 |
+
"loss": 0.4762,
|
| 1263 |
+
"step": 92500
|
| 1264 |
+
},
|
| 1265 |
+
{
|
| 1266 |
+
"epoch": 15.81,
|
| 1267 |
+
"learning_rate": 2.6750000000000002e-06,
|
| 1268 |
+
"loss": 0.4827,
|
| 1269 |
+
"step": 93000
|
| 1270 |
+
},
|
| 1271 |
+
{
|
| 1272 |
+
"epoch": 15.89,
|
| 1273 |
+
"learning_rate": 2.6625e-06,
|
| 1274 |
+
"loss": 0.4844,
|
| 1275 |
+
"step": 93500
|
| 1276 |
+
},
|
| 1277 |
+
{
|
| 1278 |
+
"epoch": 15.98,
|
| 1279 |
+
"learning_rate": 2.6500000000000005e-06,
|
| 1280 |
+
"loss": 0.4787,
|
| 1281 |
+
"step": 94000
|
| 1282 |
+
},
|
| 1283 |
+
{
|
| 1284 |
+
"epoch": 16.06,
|
| 1285 |
+
"learning_rate": 2.6375e-06,
|
| 1286 |
+
"loss": 0.4759,
|
| 1287 |
+
"step": 94500
|
| 1288 |
+
},
|
| 1289 |
+
{
|
| 1290 |
+
"epoch": 16.15,
|
| 1291 |
+
"learning_rate": 2.6250000000000003e-06,
|
| 1292 |
+
"loss": 0.4724,
|
| 1293 |
+
"step": 95000
|
| 1294 |
+
},
|
| 1295 |
+
{
|
| 1296 |
+
"epoch": 16.15,
|
| 1297 |
+
"eval_loss": 0.6447970271110535,
|
| 1298 |
+
"eval_runtime": 27.4195,
|
| 1299 |
+
"eval_samples_per_second": 428.09,
|
| 1300 |
+
"eval_steps_per_second": 53.539,
|
| 1301 |
+
"step": 95000
|
| 1302 |
+
},
|
| 1303 |
+
{
|
| 1304 |
+
"epoch": 16.23,
|
| 1305 |
+
"learning_rate": 2.6125e-06,
|
| 1306 |
+
"loss": 0.4748,
|
| 1307 |
+
"step": 95500
|
| 1308 |
+
},
|
| 1309 |
+
{
|
| 1310 |
+
"epoch": 16.32,
|
| 1311 |
+
"learning_rate": 2.6e-06,
|
| 1312 |
+
"loss": 0.4711,
|
| 1313 |
+
"step": 96000
|
| 1314 |
+
},
|
| 1315 |
+
{
|
| 1316 |
+
"epoch": 16.4,
|
| 1317 |
+
"learning_rate": 2.5875000000000002e-06,
|
| 1318 |
+
"loss": 0.4744,
|
| 1319 |
+
"step": 96500
|
| 1320 |
+
},
|
| 1321 |
+
{
|
| 1322 |
+
"epoch": 16.49,
|
| 1323 |
+
"learning_rate": 2.5750000000000003e-06,
|
| 1324 |
+
"loss": 0.4751,
|
| 1325 |
+
"step": 97000
|
| 1326 |
+
},
|
| 1327 |
+
{
|
| 1328 |
+
"epoch": 16.57,
|
| 1329 |
+
"learning_rate": 2.5625e-06,
|
| 1330 |
+
"loss": 0.4716,
|
| 1331 |
+
"step": 97500
|
| 1332 |
+
},
|
| 1333 |
+
{
|
| 1334 |
+
"epoch": 16.66,
|
| 1335 |
+
"learning_rate": 2.55e-06,
|
| 1336 |
+
"loss": 0.4646,
|
| 1337 |
+
"step": 98000
|
| 1338 |
+
},
|
| 1339 |
+
{
|
| 1340 |
+
"epoch": 16.74,
|
| 1341 |
+
"learning_rate": 2.5375e-06,
|
| 1342 |
+
"loss": 0.4629,
|
| 1343 |
+
"step": 98500
|
| 1344 |
+
},
|
| 1345 |
+
{
|
| 1346 |
+
"epoch": 16.83,
|
| 1347 |
+
"learning_rate": 2.5250000000000004e-06,
|
| 1348 |
+
"loss": 0.4711,
|
| 1349 |
+
"step": 99000
|
| 1350 |
+
},
|
| 1351 |
+
{
|
| 1352 |
+
"epoch": 16.91,
|
| 1353 |
+
"learning_rate": 2.5125e-06,
|
| 1354 |
+
"loss": 0.4708,
|
| 1355 |
+
"step": 99500
|
| 1356 |
+
},
|
| 1357 |
+
{
|
| 1358 |
+
"epoch": 17.0,
|
| 1359 |
+
"learning_rate": 2.5e-06,
|
| 1360 |
+
"loss": 0.4682,
|
| 1361 |
+
"step": 100000
|
| 1362 |
+
},
|
| 1363 |
+
{
|
| 1364 |
+
"epoch": 17.0,
|
| 1365 |
+
"eval_loss": 0.6382132768630981,
|
| 1366 |
+
"eval_runtime": 27.4181,
|
| 1367 |
+
"eval_samples_per_second": 428.111,
|
| 1368 |
+
"eval_steps_per_second": 53.541,
|
| 1369 |
+
"step": 100000
|
| 1370 |
+
},
|
| 1371 |
+
{
|
| 1372 |
+
"epoch": 17.08,
|
| 1373 |
+
"learning_rate": 2.4875000000000003e-06,
|
| 1374 |
+
"loss": 0.4575,
|
| 1375 |
+
"step": 100500
|
| 1376 |
+
},
|
| 1377 |
+
{
|
| 1378 |
+
"epoch": 17.17,
|
| 1379 |
+
"learning_rate": 2.475e-06,
|
| 1380 |
+
"loss": 0.4609,
|
| 1381 |
+
"step": 101000
|
| 1382 |
+
},
|
| 1383 |
+
{
|
| 1384 |
+
"epoch": 17.25,
|
| 1385 |
+
"learning_rate": 2.4625e-06,
|
| 1386 |
+
"loss": 0.4673,
|
| 1387 |
+
"step": 101500
|
| 1388 |
+
},
|
| 1389 |
+
{
|
| 1390 |
+
"epoch": 17.34,
|
| 1391 |
+
"learning_rate": 2.4500000000000003e-06,
|
| 1392 |
+
"loss": 0.4653,
|
| 1393 |
+
"step": 102000
|
| 1394 |
+
},
|
| 1395 |
+
{
|
| 1396 |
+
"epoch": 17.42,
|
| 1397 |
+
"learning_rate": 2.4375e-06,
|
| 1398 |
+
"loss": 0.4595,
|
| 1399 |
+
"step": 102500
|
| 1400 |
+
},
|
| 1401 |
+
{
|
| 1402 |
+
"epoch": 17.51,
|
| 1403 |
+
"learning_rate": 2.425e-06,
|
| 1404 |
+
"loss": 0.4578,
|
| 1405 |
+
"step": 103000
|
| 1406 |
+
},
|
| 1407 |
+
{
|
| 1408 |
+
"epoch": 17.59,
|
| 1409 |
+
"learning_rate": 2.4125e-06,
|
| 1410 |
+
"loss": 0.4682,
|
| 1411 |
+
"step": 103500
|
| 1412 |
+
},
|
| 1413 |
+
{
|
| 1414 |
+
"epoch": 17.68,
|
| 1415 |
+
"learning_rate": 2.4000000000000003e-06,
|
| 1416 |
+
"loss": 0.4601,
|
| 1417 |
+
"step": 104000
|
| 1418 |
+
},
|
| 1419 |
+
{
|
| 1420 |
+
"epoch": 17.76,
|
| 1421 |
+
"learning_rate": 2.3875e-06,
|
| 1422 |
+
"loss": 0.4585,
|
| 1423 |
+
"step": 104500
|
| 1424 |
+
},
|
| 1425 |
+
{
|
| 1426 |
+
"epoch": 17.85,
|
| 1427 |
+
"learning_rate": 2.375e-06,
|
| 1428 |
+
"loss": 0.4648,
|
| 1429 |
+
"step": 105000
|
| 1430 |
+
},
|
| 1431 |
+
{
|
| 1432 |
+
"epoch": 17.85,
|
| 1433 |
+
"eval_loss": 0.6338370442390442,
|
| 1434 |
+
"eval_runtime": 27.5324,
|
| 1435 |
+
"eval_samples_per_second": 426.334,
|
| 1436 |
+
"eval_steps_per_second": 53.319,
|
| 1437 |
+
"step": 105000
|
| 1438 |
+
},
|
| 1439 |
+
{
|
| 1440 |
+
"epoch": 17.93,
|
| 1441 |
+
"learning_rate": 2.3625000000000003e-06,
|
| 1442 |
+
"loss": 0.4642,
|
| 1443 |
+
"step": 105500
|
| 1444 |
+
},
|
| 1445 |
+
{
|
| 1446 |
+
"epoch": 18.02,
|
| 1447 |
+
"learning_rate": 2.35e-06,
|
| 1448 |
+
"loss": 0.4648,
|
| 1449 |
+
"step": 106000
|
| 1450 |
+
},
|
| 1451 |
+
{
|
| 1452 |
+
"epoch": 18.1,
|
| 1453 |
+
"learning_rate": 2.3375000000000005e-06,
|
| 1454 |
+
"loss": 0.4599,
|
| 1455 |
+
"step": 106500
|
| 1456 |
+
},
|
| 1457 |
+
{
|
| 1458 |
+
"epoch": 18.19,
|
| 1459 |
+
"learning_rate": 2.325e-06,
|
| 1460 |
+
"loss": 0.4481,
|
| 1461 |
+
"step": 107000
|
| 1462 |
+
},
|
| 1463 |
+
{
|
| 1464 |
+
"epoch": 18.27,
|
| 1465 |
+
"learning_rate": 2.3125000000000003e-06,
|
| 1466 |
+
"loss": 0.4601,
|
| 1467 |
+
"step": 107500
|
| 1468 |
+
},
|
| 1469 |
+
{
|
| 1470 |
+
"epoch": 18.36,
|
| 1471 |
+
"learning_rate": 2.3000000000000004e-06,
|
| 1472 |
+
"loss": 0.4582,
|
| 1473 |
+
"step": 108000
|
| 1474 |
+
},
|
| 1475 |
+
{
|
| 1476 |
+
"epoch": 18.44,
|
| 1477 |
+
"learning_rate": 2.2875e-06,
|
| 1478 |
+
"loss": 0.4589,
|
| 1479 |
+
"step": 108500
|
| 1480 |
+
},
|
| 1481 |
+
{
|
| 1482 |
+
"epoch": 18.53,
|
| 1483 |
+
"learning_rate": 2.2750000000000002e-06,
|
| 1484 |
+
"loss": 0.4505,
|
| 1485 |
+
"step": 109000
|
| 1486 |
+
},
|
| 1487 |
+
{
|
| 1488 |
+
"epoch": 18.61,
|
| 1489 |
+
"learning_rate": 2.2625000000000004e-06,
|
| 1490 |
+
"loss": 0.4584,
|
| 1491 |
+
"step": 109500
|
| 1492 |
+
},
|
| 1493 |
+
{
|
| 1494 |
+
"epoch": 18.7,
|
| 1495 |
+
"learning_rate": 2.25e-06,
|
| 1496 |
+
"loss": 0.4551,
|
| 1497 |
+
"step": 110000
|
| 1498 |
+
},
|
| 1499 |
+
{
|
| 1500 |
+
"epoch": 18.7,
|
| 1501 |
+
"eval_loss": 0.6278859972953796,
|
| 1502 |
+
"eval_runtime": 28.5577,
|
| 1503 |
+
"eval_samples_per_second": 411.027,
|
| 1504 |
+
"eval_steps_per_second": 51.405,
|
| 1505 |
+
"step": 110000
|
| 1506 |
+
},
|
| 1507 |
+
{
|
| 1508 |
+
"epoch": 18.78,
|
| 1509 |
+
"learning_rate": 2.2375e-06,
|
| 1510 |
+
"loss": 0.4512,
|
| 1511 |
+
"step": 110500
|
| 1512 |
+
},
|
| 1513 |
+
{
|
| 1514 |
+
"epoch": 18.87,
|
| 1515 |
+
"learning_rate": 2.2250000000000003e-06,
|
| 1516 |
+
"loss": 0.4549,
|
| 1517 |
+
"step": 111000
|
| 1518 |
+
},
|
| 1519 |
+
{
|
| 1520 |
+
"epoch": 18.95,
|
| 1521 |
+
"learning_rate": 2.2125e-06,
|
| 1522 |
+
"loss": 0.4607,
|
| 1523 |
+
"step": 111500
|
| 1524 |
+
},
|
| 1525 |
+
{
|
| 1526 |
+
"epoch": 19.04,
|
| 1527 |
+
"learning_rate": 2.2e-06,
|
| 1528 |
+
"loss": 0.4493,
|
| 1529 |
+
"step": 112000
|
| 1530 |
+
},
|
| 1531 |
+
{
|
| 1532 |
+
"epoch": 19.12,
|
| 1533 |
+
"learning_rate": 2.1875000000000002e-06,
|
| 1534 |
+
"loss": 0.4481,
|
| 1535 |
+
"step": 112500
|
| 1536 |
+
},
|
| 1537 |
+
{
|
| 1538 |
+
"epoch": 19.21,
|
| 1539 |
+
"learning_rate": 2.1750000000000004e-06,
|
| 1540 |
+
"loss": 0.4475,
|
| 1541 |
+
"step": 113000
|
| 1542 |
+
},
|
| 1543 |
+
{
|
| 1544 |
+
"epoch": 19.29,
|
| 1545 |
+
"learning_rate": 2.1625e-06,
|
| 1546 |
+
"loss": 0.4487,
|
| 1547 |
+
"step": 113500
|
| 1548 |
+
},
|
| 1549 |
+
{
|
| 1550 |
+
"epoch": 19.38,
|
| 1551 |
+
"learning_rate": 2.15e-06,
|
| 1552 |
+
"loss": 0.4471,
|
| 1553 |
+
"step": 114000
|
| 1554 |
+
},
|
| 1555 |
+
{
|
| 1556 |
+
"epoch": 19.46,
|
| 1557 |
+
"learning_rate": 2.1375000000000003e-06,
|
| 1558 |
+
"loss": 0.4501,
|
| 1559 |
+
"step": 114500
|
| 1560 |
+
},
|
| 1561 |
+
{
|
| 1562 |
+
"epoch": 19.55,
|
| 1563 |
+
"learning_rate": 2.125e-06,
|
| 1564 |
+
"loss": 0.4412,
|
| 1565 |
+
"step": 115000
|
| 1566 |
+
},
|
| 1567 |
+
{
|
| 1568 |
+
"epoch": 19.55,
|
| 1569 |
+
"eval_loss": 0.6246311068534851,
|
| 1570 |
+
"eval_runtime": 32.3732,
|
| 1571 |
+
"eval_samples_per_second": 362.584,
|
| 1572 |
+
"eval_steps_per_second": 45.346,
|
| 1573 |
+
"step": 115000
|
| 1574 |
+
},
|
| 1575 |
+
{
|
| 1576 |
+
"epoch": 19.63,
|
| 1577 |
+
"learning_rate": 2.1125e-06,
|
| 1578 |
+
"loss": 0.4557,
|
| 1579 |
+
"step": 115500
|
| 1580 |
+
},
|
| 1581 |
+
{
|
| 1582 |
+
"epoch": 19.72,
|
| 1583 |
+
"learning_rate": 2.1000000000000002e-06,
|
| 1584 |
+
"loss": 0.4509,
|
| 1585 |
+
"step": 116000
|
| 1586 |
+
},
|
| 1587 |
+
{
|
| 1588 |
+
"epoch": 19.8,
|
| 1589 |
+
"learning_rate": 2.0875e-06,
|
| 1590 |
+
"loss": 0.4484,
|
| 1591 |
+
"step": 116500
|
| 1592 |
+
},
|
| 1593 |
+
{
|
| 1594 |
+
"epoch": 19.89,
|
| 1595 |
+
"learning_rate": 2.075e-06,
|
| 1596 |
+
"loss": 0.4464,
|
| 1597 |
+
"step": 117000
|
| 1598 |
+
},
|
| 1599 |
+
{
|
| 1600 |
+
"epoch": 19.97,
|
| 1601 |
+
"learning_rate": 2.0625e-06,
|
| 1602 |
+
"loss": 0.4442,
|
| 1603 |
+
"step": 117500
|
| 1604 |
+
},
|
| 1605 |
+
{
|
| 1606 |
+
"epoch": 20.06,
|
| 1607 |
+
"learning_rate": 2.05e-06,
|
| 1608 |
+
"loss": 0.4479,
|
| 1609 |
+
"step": 118000
|
| 1610 |
+
},
|
| 1611 |
+
{
|
| 1612 |
+
"epoch": 20.14,
|
| 1613 |
+
"learning_rate": 2.0375e-06,
|
| 1614 |
+
"loss": 0.4376,
|
| 1615 |
+
"step": 118500
|
| 1616 |
+
},
|
| 1617 |
+
{
|
| 1618 |
+
"epoch": 20.23,
|
| 1619 |
+
"learning_rate": 2.025e-06,
|
| 1620 |
+
"loss": 0.4441,
|
| 1621 |
+
"step": 119000
|
| 1622 |
+
},
|
| 1623 |
+
{
|
| 1624 |
+
"epoch": 20.31,
|
| 1625 |
+
"learning_rate": 2.0125000000000002e-06,
|
| 1626 |
+
"loss": 0.4429,
|
| 1627 |
+
"step": 119500
|
| 1628 |
+
},
|
| 1629 |
+
{
|
| 1630 |
+
"epoch": 20.4,
|
| 1631 |
+
"learning_rate": 2.0000000000000003e-06,
|
| 1632 |
+
"loss": 0.447,
|
| 1633 |
+
"step": 120000
|
| 1634 |
+
},
|
| 1635 |
+
{
|
| 1636 |
+
"epoch": 20.4,
|
| 1637 |
+
"eval_loss": 0.620963990688324,
|
| 1638 |
+
"eval_runtime": 29.0345,
|
| 1639 |
+
"eval_samples_per_second": 404.278,
|
| 1640 |
+
"eval_steps_per_second": 50.561,
|
| 1641 |
+
"step": 120000
|
| 1642 |
+
},
|
| 1643 |
+
{
|
| 1644 |
+
"epoch": 20.48,
|
| 1645 |
+
"learning_rate": 1.9875000000000005e-06,
|
| 1646 |
+
"loss": 0.4466,
|
| 1647 |
+
"step": 120500
|
| 1648 |
+
},
|
| 1649 |
+
{
|
| 1650 |
+
"epoch": 20.57,
|
| 1651 |
+
"learning_rate": 1.975e-06,
|
| 1652 |
+
"loss": 0.4487,
|
| 1653 |
+
"step": 121000
|
| 1654 |
+
},
|
| 1655 |
+
{
|
| 1656 |
+
"epoch": 20.65,
|
| 1657 |
+
"learning_rate": 1.9625000000000003e-06,
|
| 1658 |
+
"loss": 0.4406,
|
| 1659 |
+
"step": 121500
|
| 1660 |
+
},
|
| 1661 |
+
{
|
| 1662 |
+
"epoch": 20.74,
|
| 1663 |
+
"learning_rate": 1.9500000000000004e-06,
|
| 1664 |
+
"loss": 0.4423,
|
| 1665 |
+
"step": 122000
|
| 1666 |
+
},
|
| 1667 |
+
{
|
| 1668 |
+
"epoch": 20.82,
|
| 1669 |
+
"learning_rate": 1.9375e-06,
|
| 1670 |
+
"loss": 0.4454,
|
| 1671 |
+
"step": 122500
|
| 1672 |
+
},
|
| 1673 |
+
{
|
| 1674 |
+
"epoch": 20.91,
|
| 1675 |
+
"learning_rate": 1.925e-06,
|
| 1676 |
+
"loss": 0.4396,
|
| 1677 |
+
"step": 123000
|
| 1678 |
+
},
|
| 1679 |
+
{
|
| 1680 |
+
"epoch": 20.99,
|
| 1681 |
+
"learning_rate": 1.9125000000000003e-06,
|
| 1682 |
+
"loss": 0.4387,
|
| 1683 |
+
"step": 123500
|
| 1684 |
+
},
|
| 1685 |
+
{
|
| 1686 |
+
"epoch": 21.08,
|
| 1687 |
+
"learning_rate": 1.9000000000000002e-06,
|
| 1688 |
+
"loss": 0.4339,
|
| 1689 |
+
"step": 124000
|
| 1690 |
+
},
|
| 1691 |
+
{
|
| 1692 |
+
"epoch": 21.16,
|
| 1693 |
+
"learning_rate": 1.8875000000000001e-06,
|
| 1694 |
+
"loss": 0.4407,
|
| 1695 |
+
"step": 124500
|
| 1696 |
+
},
|
| 1697 |
+
{
|
| 1698 |
+
"epoch": 21.25,
|
| 1699 |
+
"learning_rate": 1.8750000000000003e-06,
|
| 1700 |
+
"loss": 0.4431,
|
| 1701 |
+
"step": 125000
|
| 1702 |
+
},
|
| 1703 |
+
{
|
| 1704 |
+
"epoch": 21.25,
|
| 1705 |
+
"eval_loss": 0.6155585646629333,
|
| 1706 |
+
"eval_runtime": 29.6557,
|
| 1707 |
+
"eval_samples_per_second": 395.809,
|
| 1708 |
+
"eval_steps_per_second": 49.501,
|
| 1709 |
+
"step": 125000
|
| 1710 |
+
},
|
| 1711 |
+
{
|
| 1712 |
+
"epoch": 21.33,
|
| 1713 |
+
"learning_rate": 1.8625000000000002e-06,
|
| 1714 |
+
"loss": 0.4341,
|
| 1715 |
+
"step": 125500
|
| 1716 |
+
},
|
| 1717 |
+
{
|
| 1718 |
+
"epoch": 21.42,
|
| 1719 |
+
"learning_rate": 1.85e-06,
|
| 1720 |
+
"loss": 0.4358,
|
| 1721 |
+
"step": 126000
|
| 1722 |
+
},
|
| 1723 |
+
{
|
| 1724 |
+
"epoch": 21.5,
|
| 1725 |
+
"learning_rate": 1.8375000000000002e-06,
|
| 1726 |
+
"loss": 0.4443,
|
| 1727 |
+
"step": 126500
|
| 1728 |
+
},
|
| 1729 |
+
{
|
| 1730 |
+
"epoch": 21.59,
|
| 1731 |
+
"learning_rate": 1.825e-06,
|
| 1732 |
+
"loss": 0.4307,
|
| 1733 |
+
"step": 127000
|
| 1734 |
+
},
|
| 1735 |
+
{
|
| 1736 |
+
"epoch": 21.67,
|
| 1737 |
+
"learning_rate": 1.8125e-06,
|
| 1738 |
+
"loss": 0.4422,
|
| 1739 |
+
"step": 127500
|
| 1740 |
+
},
|
| 1741 |
+
{
|
| 1742 |
+
"epoch": 21.76,
|
| 1743 |
+
"learning_rate": 1.8000000000000001e-06,
|
| 1744 |
+
"loss": 0.4384,
|
| 1745 |
+
"step": 128000
|
| 1746 |
+
},
|
| 1747 |
+
{
|
| 1748 |
+
"epoch": 21.84,
|
| 1749 |
+
"learning_rate": 1.7875e-06,
|
| 1750 |
+
"loss": 0.4372,
|
| 1751 |
+
"step": 128500
|
| 1752 |
+
},
|
| 1753 |
+
{
|
| 1754 |
+
"epoch": 21.93,
|
| 1755 |
+
"learning_rate": 1.7750000000000002e-06,
|
| 1756 |
+
"loss": 0.4328,
|
| 1757 |
+
"step": 129000
|
| 1758 |
+
},
|
| 1759 |
+
{
|
| 1760 |
+
"epoch": 22.01,
|
| 1761 |
+
"learning_rate": 1.7625e-06,
|
| 1762 |
+
"loss": 0.4404,
|
| 1763 |
+
"step": 129500
|
| 1764 |
+
},
|
| 1765 |
+
{
|
| 1766 |
+
"epoch": 22.1,
|
| 1767 |
+
"learning_rate": 1.75e-06,
|
| 1768 |
+
"loss": 0.4328,
|
| 1769 |
+
"step": 130000
|
| 1770 |
+
},
|
| 1771 |
+
{
|
| 1772 |
+
"epoch": 22.1,
|
| 1773 |
+
"eval_loss": 0.6130816340446472,
|
| 1774 |
+
"eval_runtime": 29.5785,
|
| 1775 |
+
"eval_samples_per_second": 396.843,
|
| 1776 |
+
"eval_steps_per_second": 49.631,
|
| 1777 |
+
"step": 130000
|
| 1778 |
+
},
|
| 1779 |
+
{
|
| 1780 |
+
"epoch": 22.18,
|
| 1781 |
+
"learning_rate": 1.7375e-06,
|
| 1782 |
+
"loss": 0.427,
|
| 1783 |
+
"step": 130500
|
| 1784 |
+
},
|
| 1785 |
+
{
|
| 1786 |
+
"epoch": 22.27,
|
| 1787 |
+
"learning_rate": 1.725e-06,
|
| 1788 |
+
"loss": 0.4246,
|
| 1789 |
+
"step": 131000
|
| 1790 |
+
},
|
| 1791 |
+
{
|
| 1792 |
+
"epoch": 22.35,
|
| 1793 |
+
"learning_rate": 1.7125000000000003e-06,
|
| 1794 |
+
"loss": 0.4369,
|
| 1795 |
+
"step": 131500
|
| 1796 |
+
},
|
| 1797 |
+
{
|
| 1798 |
+
"epoch": 22.44,
|
| 1799 |
+
"learning_rate": 1.7000000000000002e-06,
|
| 1800 |
+
"loss": 0.4315,
|
| 1801 |
+
"step": 132000
|
| 1802 |
+
},
|
| 1803 |
+
{
|
| 1804 |
+
"epoch": 22.52,
|
| 1805 |
+
"learning_rate": 1.6875000000000001e-06,
|
| 1806 |
+
"loss": 0.4356,
|
| 1807 |
+
"step": 132500
|
| 1808 |
+
},
|
| 1809 |
+
{
|
| 1810 |
+
"epoch": 22.61,
|
| 1811 |
+
"learning_rate": 1.6750000000000003e-06,
|
| 1812 |
+
"loss": 0.4282,
|
| 1813 |
+
"step": 133000
|
| 1814 |
+
},
|
| 1815 |
+
{
|
| 1816 |
+
"epoch": 22.69,
|
| 1817 |
+
"learning_rate": 1.6625000000000002e-06,
|
| 1818 |
+
"loss": 0.4295,
|
| 1819 |
+
"step": 133500
|
| 1820 |
+
},
|
| 1821 |
+
{
|
| 1822 |
+
"epoch": 22.78,
|
| 1823 |
+
"learning_rate": 1.6500000000000003e-06,
|
| 1824 |
+
"loss": 0.4303,
|
| 1825 |
+
"step": 134000
|
| 1826 |
+
},
|
| 1827 |
+
{
|
| 1828 |
+
"epoch": 22.86,
|
| 1829 |
+
"learning_rate": 1.6375000000000002e-06,
|
| 1830 |
+
"loss": 0.4346,
|
| 1831 |
+
"step": 134500
|
| 1832 |
+
},
|
| 1833 |
+
{
|
| 1834 |
+
"epoch": 22.95,
|
| 1835 |
+
"learning_rate": 1.6250000000000001e-06,
|
| 1836 |
+
"loss": 0.4352,
|
| 1837 |
+
"step": 135000
|
| 1838 |
+
},
|
| 1839 |
+
{
|
| 1840 |
+
"epoch": 22.95,
|
| 1841 |
+
"eval_loss": 0.6105329394340515,
|
| 1842 |
+
"eval_runtime": 31.3111,
|
| 1843 |
+
"eval_samples_per_second": 374.883,
|
| 1844 |
+
"eval_steps_per_second": 46.884,
|
| 1845 |
+
"step": 135000
|
| 1846 |
+
},
|
| 1847 |
+
{
|
| 1848 |
+
"epoch": 23.03,
|
| 1849 |
+
"learning_rate": 1.6125000000000002e-06,
|
| 1850 |
+
"loss": 0.4328,
|
| 1851 |
+
"step": 135500
|
| 1852 |
+
},
|
| 1853 |
+
{
|
| 1854 |
+
"epoch": 23.12,
|
| 1855 |
+
"learning_rate": 1.6000000000000001e-06,
|
| 1856 |
+
"loss": 0.4291,
|
| 1857 |
+
"step": 136000
|
| 1858 |
+
},
|
| 1859 |
+
{
|
| 1860 |
+
"epoch": 23.2,
|
| 1861 |
+
"learning_rate": 1.5875e-06,
|
| 1862 |
+
"loss": 0.4238,
|
| 1863 |
+
"step": 136500
|
| 1864 |
+
},
|
| 1865 |
+
{
|
| 1866 |
+
"epoch": 23.29,
|
| 1867 |
+
"learning_rate": 1.5750000000000002e-06,
|
| 1868 |
+
"loss": 0.4239,
|
| 1869 |
+
"step": 137000
|
| 1870 |
+
},
|
| 1871 |
+
{
|
| 1872 |
+
"epoch": 23.37,
|
| 1873 |
+
"learning_rate": 1.5625e-06,
|
| 1874 |
+
"loss": 0.4267,
|
| 1875 |
+
"step": 137500
|
| 1876 |
+
},
|
| 1877 |
+
{
|
| 1878 |
+
"epoch": 23.46,
|
| 1879 |
+
"learning_rate": 1.5500000000000002e-06,
|
| 1880 |
+
"loss": 0.4306,
|
| 1881 |
+
"step": 138000
|
| 1882 |
+
},
|
| 1883 |
+
{
|
| 1884 |
+
"epoch": 23.54,
|
| 1885 |
+
"learning_rate": 1.5375e-06,
|
| 1886 |
+
"loss": 0.4327,
|
| 1887 |
+
"step": 138500
|
| 1888 |
+
},
|
| 1889 |
+
{
|
| 1890 |
+
"epoch": 23.63,
|
| 1891 |
+
"learning_rate": 1.525e-06,
|
| 1892 |
+
"loss": 0.429,
|
| 1893 |
+
"step": 139000
|
| 1894 |
+
},
|
| 1895 |
+
{
|
| 1896 |
+
"epoch": 23.71,
|
| 1897 |
+
"learning_rate": 1.5125000000000001e-06,
|
| 1898 |
+
"loss": 0.4295,
|
| 1899 |
+
"step": 139500
|
| 1900 |
+
},
|
| 1901 |
+
{
|
| 1902 |
+
"epoch": 23.8,
|
| 1903 |
+
"learning_rate": 1.5e-06,
|
| 1904 |
+
"loss": 0.4268,
|
| 1905 |
+
"step": 140000
|
| 1906 |
+
},
|
| 1907 |
+
{
|
| 1908 |
+
"epoch": 23.8,
|
| 1909 |
+
"eval_loss": 0.6070874929428101,
|
| 1910 |
+
"eval_runtime": 28.7528,
|
| 1911 |
+
"eval_samples_per_second": 408.239,
|
| 1912 |
+
"eval_steps_per_second": 51.056,
|
| 1913 |
+
"step": 140000
|
| 1914 |
+
},
|
| 1915 |
+
{
|
| 1916 |
+
"epoch": 23.88,
|
| 1917 |
+
"learning_rate": 1.4875000000000002e-06,
|
| 1918 |
+
"loss": 0.424,
|
| 1919 |
+
"step": 140500
|
| 1920 |
+
},
|
| 1921 |
+
{
|
| 1922 |
+
"epoch": 23.97,
|
| 1923 |
+
"learning_rate": 1.475e-06,
|
| 1924 |
+
"loss": 0.423,
|
| 1925 |
+
"step": 141000
|
| 1926 |
+
},
|
| 1927 |
+
{
|
| 1928 |
+
"epoch": 24.05,
|
| 1929 |
+
"learning_rate": 1.4625e-06,
|
| 1930 |
+
"loss": 0.4194,
|
| 1931 |
+
"step": 141500
|
| 1932 |
+
},
|
| 1933 |
+
{
|
| 1934 |
+
"epoch": 24.14,
|
| 1935 |
+
"learning_rate": 1.45e-06,
|
| 1936 |
+
"loss": 0.4246,
|
| 1937 |
+
"step": 142000
|
| 1938 |
+
},
|
| 1939 |
+
{
|
| 1940 |
+
"epoch": 24.22,
|
| 1941 |
+
"learning_rate": 1.4375e-06,
|
| 1942 |
+
"loss": 0.4268,
|
| 1943 |
+
"step": 142500
|
| 1944 |
+
},
|
| 1945 |
+
{
|
| 1946 |
+
"epoch": 24.31,
|
| 1947 |
+
"learning_rate": 1.425e-06,
|
| 1948 |
+
"loss": 0.4245,
|
| 1949 |
+
"step": 143000
|
| 1950 |
+
},
|
| 1951 |
+
{
|
| 1952 |
+
"epoch": 24.39,
|
| 1953 |
+
"learning_rate": 1.4125e-06,
|
| 1954 |
+
"loss": 0.4183,
|
| 1955 |
+
"step": 143500
|
| 1956 |
+
},
|
| 1957 |
+
{
|
| 1958 |
+
"epoch": 24.48,
|
| 1959 |
+
"learning_rate": 1.4000000000000001e-06,
|
| 1960 |
+
"loss": 0.4234,
|
| 1961 |
+
"step": 144000
|
| 1962 |
+
},
|
| 1963 |
+
{
|
| 1964 |
+
"epoch": 24.56,
|
| 1965 |
+
"learning_rate": 1.3875000000000003e-06,
|
| 1966 |
+
"loss": 0.4267,
|
| 1967 |
+
"step": 144500
|
| 1968 |
+
},
|
| 1969 |
+
{
|
| 1970 |
+
"epoch": 24.65,
|
| 1971 |
+
"learning_rate": 1.3750000000000002e-06,
|
| 1972 |
+
"loss": 0.4212,
|
| 1973 |
+
"step": 145000
|
| 1974 |
+
},
|
| 1975 |
+
{
|
| 1976 |
+
"epoch": 24.65,
|
| 1977 |
+
"eval_loss": 0.6056092381477356,
|
| 1978 |
+
"eval_runtime": 29.9328,
|
| 1979 |
+
"eval_samples_per_second": 392.145,
|
| 1980 |
+
"eval_steps_per_second": 49.043,
|
| 1981 |
+
"step": 145000
|
| 1982 |
+
},
|
| 1983 |
+
{
|
| 1984 |
+
"epoch": 24.73,
|
| 1985 |
+
"learning_rate": 1.3625000000000003e-06,
|
| 1986 |
+
"loss": 0.4223,
|
| 1987 |
+
"step": 145500
|
| 1988 |
+
},
|
| 1989 |
+
{
|
| 1990 |
+
"epoch": 24.82,
|
| 1991 |
+
"learning_rate": 1.3500000000000002e-06,
|
| 1992 |
+
"loss": 0.4325,
|
| 1993 |
+
"step": 146000
|
| 1994 |
+
},
|
| 1995 |
+
{
|
| 1996 |
+
"epoch": 24.9,
|
| 1997 |
+
"learning_rate": 1.3375000000000001e-06,
|
| 1998 |
+
"loss": 0.4199,
|
| 1999 |
+
"step": 146500
|
| 2000 |
+
},
|
| 2001 |
+
{
|
| 2002 |
+
"epoch": 24.99,
|
| 2003 |
+
"learning_rate": 1.3250000000000002e-06,
|
| 2004 |
+
"loss": 0.4301,
|
| 2005 |
+
"step": 147000
|
| 2006 |
+
},
|
| 2007 |
+
{
|
| 2008 |
+
"epoch": 25.07,
|
| 2009 |
+
"learning_rate": 1.3125000000000001e-06,
|
| 2010 |
+
"loss": 0.413,
|
| 2011 |
+
"step": 147500
|
| 2012 |
+
},
|
| 2013 |
+
{
|
| 2014 |
+
"epoch": 25.16,
|
| 2015 |
+
"learning_rate": 1.3e-06,
|
| 2016 |
+
"loss": 0.4213,
|
| 2017 |
+
"step": 148000
|
| 2018 |
+
},
|
| 2019 |
+
{
|
| 2020 |
+
"epoch": 25.24,
|
| 2021 |
+
"learning_rate": 1.2875000000000002e-06,
|
| 2022 |
+
"loss": 0.4211,
|
| 2023 |
+
"step": 148500
|
| 2024 |
+
},
|
| 2025 |
+
{
|
| 2026 |
+
"epoch": 25.33,
|
| 2027 |
+
"learning_rate": 1.275e-06,
|
| 2028 |
+
"loss": 0.4288,
|
| 2029 |
+
"step": 149000
|
| 2030 |
+
},
|
| 2031 |
+
{
|
| 2032 |
+
"epoch": 25.41,
|
| 2033 |
+
"learning_rate": 1.2625000000000002e-06,
|
| 2034 |
+
"loss": 0.4256,
|
| 2035 |
+
"step": 149500
|
| 2036 |
+
},
|
| 2037 |
+
{
|
| 2038 |
+
"epoch": 25.5,
|
| 2039 |
+
"learning_rate": 1.25e-06,
|
| 2040 |
+
"loss": 0.4261,
|
| 2041 |
+
"step": 150000
|
| 2042 |
+
},
|
| 2043 |
+
{
|
| 2044 |
+
"epoch": 25.5,
|
| 2045 |
+
"eval_loss": 0.6023589372634888,
|
| 2046 |
+
"eval_runtime": 42.7696,
|
| 2047 |
+
"eval_samples_per_second": 274.447,
|
| 2048 |
+
"eval_steps_per_second": 34.323,
|
| 2049 |
+
"step": 150000
|
| 2050 |
+
},
|
| 2051 |
+
{
|
| 2052 |
+
"epoch": 25.58,
|
| 2053 |
+
"learning_rate": 1.2375e-06,
|
| 2054 |
+
"loss": 0.4193,
|
| 2055 |
+
"step": 150500
|
| 2056 |
+
},
|
| 2057 |
+
{
|
| 2058 |
+
"epoch": 25.67,
|
| 2059 |
+
"learning_rate": 1.2250000000000001e-06,
|
| 2060 |
+
"loss": 0.4186,
|
| 2061 |
+
"step": 151000
|
| 2062 |
+
},
|
| 2063 |
+
{
|
| 2064 |
+
"epoch": 25.75,
|
| 2065 |
+
"learning_rate": 1.2125e-06,
|
| 2066 |
+
"loss": 0.4154,
|
| 2067 |
+
"step": 151500
|
| 2068 |
+
},
|
| 2069 |
+
{
|
| 2070 |
+
"epoch": 25.84,
|
| 2071 |
+
"learning_rate": 1.2000000000000002e-06,
|
| 2072 |
+
"loss": 0.4238,
|
| 2073 |
+
"step": 152000
|
| 2074 |
+
},
|
| 2075 |
+
{
|
| 2076 |
+
"epoch": 25.92,
|
| 2077 |
+
"learning_rate": 1.1875e-06,
|
| 2078 |
+
"loss": 0.4165,
|
| 2079 |
+
"step": 152500
|
| 2080 |
+
},
|
| 2081 |
+
{
|
| 2082 |
+
"epoch": 26.01,
|
| 2083 |
+
"learning_rate": 1.175e-06,
|
| 2084 |
+
"loss": 0.4165,
|
| 2085 |
+
"step": 153000
|
| 2086 |
+
},
|
| 2087 |
+
{
|
| 2088 |
+
"epoch": 26.09,
|
| 2089 |
+
"learning_rate": 1.1625e-06,
|
| 2090 |
+
"loss": 0.4169,
|
| 2091 |
+
"step": 153500
|
| 2092 |
+
},
|
| 2093 |
+
{
|
| 2094 |
+
"epoch": 26.18,
|
| 2095 |
+
"learning_rate": 1.1500000000000002e-06,
|
| 2096 |
+
"loss": 0.4116,
|
| 2097 |
+
"step": 154000
|
| 2098 |
+
},
|
| 2099 |
+
{
|
| 2100 |
+
"epoch": 26.26,
|
| 2101 |
+
"learning_rate": 1.1375000000000001e-06,
|
| 2102 |
+
"loss": 0.4138,
|
| 2103 |
+
"step": 154500
|
| 2104 |
+
},
|
| 2105 |
+
{
|
| 2106 |
+
"epoch": 26.35,
|
| 2107 |
+
"learning_rate": 1.125e-06,
|
| 2108 |
+
"loss": 0.4192,
|
| 2109 |
+
"step": 155000
|
| 2110 |
+
},
|
| 2111 |
+
{
|
| 2112 |
+
"epoch": 26.35,
|
| 2113 |
+
"eval_loss": 0.6006730794906616,
|
| 2114 |
+
"eval_runtime": 27.6694,
|
| 2115 |
+
"eval_samples_per_second": 424.223,
|
| 2116 |
+
"eval_steps_per_second": 53.055,
|
| 2117 |
+
"step": 155000
|
| 2118 |
+
},
|
| 2119 |
+
{
|
| 2120 |
+
"epoch": 26.43,
|
| 2121 |
+
"learning_rate": 1.1125000000000001e-06,
|
| 2122 |
+
"loss": 0.4216,
|
| 2123 |
+
"step": 155500
|
| 2124 |
+
},
|
| 2125 |
+
{
|
| 2126 |
+
"epoch": 26.52,
|
| 2127 |
+
"learning_rate": 1.1e-06,
|
| 2128 |
+
"loss": 0.4186,
|
| 2129 |
+
"step": 156000
|
| 2130 |
+
},
|
| 2131 |
+
{
|
| 2132 |
+
"epoch": 26.6,
|
| 2133 |
+
"learning_rate": 1.0875000000000002e-06,
|
| 2134 |
+
"loss": 0.4148,
|
| 2135 |
+
"step": 156500
|
| 2136 |
+
},
|
| 2137 |
+
{
|
| 2138 |
+
"epoch": 26.69,
|
| 2139 |
+
"learning_rate": 1.075e-06,
|
| 2140 |
+
"loss": 0.4186,
|
| 2141 |
+
"step": 157000
|
| 2142 |
+
},
|
| 2143 |
+
{
|
| 2144 |
+
"epoch": 26.77,
|
| 2145 |
+
"learning_rate": 1.0625e-06,
|
| 2146 |
+
"loss": 0.4202,
|
| 2147 |
+
"step": 157500
|
| 2148 |
+
},
|
| 2149 |
+
{
|
| 2150 |
+
"epoch": 26.86,
|
| 2151 |
+
"learning_rate": 1.0500000000000001e-06,
|
| 2152 |
+
"loss": 0.4139,
|
| 2153 |
+
"step": 158000
|
| 2154 |
+
},
|
| 2155 |
+
{
|
| 2156 |
+
"epoch": 26.94,
|
| 2157 |
+
"learning_rate": 1.0375e-06,
|
| 2158 |
+
"loss": 0.4196,
|
| 2159 |
+
"step": 158500
|
| 2160 |
+
},
|
| 2161 |
+
{
|
| 2162 |
+
"epoch": 27.03,
|
| 2163 |
+
"learning_rate": 1.025e-06,
|
| 2164 |
+
"loss": 0.4191,
|
| 2165 |
+
"step": 159000
|
| 2166 |
+
},
|
| 2167 |
+
{
|
| 2168 |
+
"epoch": 27.11,
|
| 2169 |
+
"learning_rate": 1.0125e-06,
|
| 2170 |
+
"loss": 0.4145,
|
| 2171 |
+
"step": 159500
|
| 2172 |
+
},
|
| 2173 |
+
{
|
| 2174 |
+
"epoch": 27.2,
|
| 2175 |
+
"learning_rate": 1.0000000000000002e-06,
|
| 2176 |
+
"loss": 0.4117,
|
| 2177 |
+
"step": 160000
|
| 2178 |
+
},
|
| 2179 |
+
{
|
| 2180 |
+
"epoch": 27.2,
|
| 2181 |
+
"eval_loss": 0.599934995174408,
|
| 2182 |
+
"eval_runtime": 27.3077,
|
| 2183 |
+
"eval_samples_per_second": 429.842,
|
| 2184 |
+
"eval_steps_per_second": 53.758,
|
| 2185 |
+
"step": 160000
|
| 2186 |
+
},
|
| 2187 |
+
{
|
| 2188 |
+
"epoch": 27.28,
|
| 2189 |
+
"learning_rate": 9.875e-07,
|
| 2190 |
+
"loss": 0.4202,
|
| 2191 |
+
"step": 160500
|
| 2192 |
+
},
|
| 2193 |
+
{
|
| 2194 |
+
"epoch": 27.37,
|
| 2195 |
+
"learning_rate": 9.750000000000002e-07,
|
| 2196 |
+
"loss": 0.4166,
|
| 2197 |
+
"step": 161000
|
| 2198 |
+
},
|
| 2199 |
+
{
|
| 2200 |
+
"epoch": 27.45,
|
| 2201 |
+
"learning_rate": 9.625e-07,
|
| 2202 |
+
"loss": 0.4119,
|
| 2203 |
+
"step": 161500
|
| 2204 |
+
},
|
| 2205 |
+
{
|
| 2206 |
+
"epoch": 27.54,
|
| 2207 |
+
"learning_rate": 9.500000000000001e-07,
|
| 2208 |
+
"loss": 0.4109,
|
| 2209 |
+
"step": 162000
|
| 2210 |
+
},
|
| 2211 |
+
{
|
| 2212 |
+
"epoch": 27.62,
|
| 2213 |
+
"learning_rate": 9.375000000000001e-07,
|
| 2214 |
+
"loss": 0.4149,
|
| 2215 |
+
"step": 162500
|
| 2216 |
+
},
|
| 2217 |
+
{
|
| 2218 |
+
"epoch": 27.71,
|
| 2219 |
+
"learning_rate": 9.25e-07,
|
| 2220 |
+
"loss": 0.412,
|
| 2221 |
+
"step": 163000
|
| 2222 |
+
},
|
| 2223 |
+
{
|
| 2224 |
+
"epoch": 27.79,
|
| 2225 |
+
"learning_rate": 9.125e-07,
|
| 2226 |
+
"loss": 0.4145,
|
| 2227 |
+
"step": 163500
|
| 2228 |
+
},
|
| 2229 |
+
{
|
| 2230 |
+
"epoch": 27.88,
|
| 2231 |
+
"learning_rate": 9.000000000000001e-07,
|
| 2232 |
+
"loss": 0.4175,
|
| 2233 |
+
"step": 164000
|
| 2234 |
+
},
|
| 2235 |
+
{
|
| 2236 |
+
"epoch": 27.96,
|
| 2237 |
+
"learning_rate": 8.875000000000001e-07,
|
| 2238 |
+
"loss": 0.4112,
|
| 2239 |
+
"step": 164500
|
| 2240 |
+
},
|
| 2241 |
+
{
|
| 2242 |
+
"epoch": 28.05,
|
| 2243 |
+
"learning_rate": 8.75e-07,
|
| 2244 |
+
"loss": 0.4087,
|
| 2245 |
+
"step": 165000
|
| 2246 |
+
},
|
| 2247 |
+
{
|
| 2248 |
+
"epoch": 28.05,
|
| 2249 |
+
"eval_loss": 0.5984655618667603,
|
| 2250 |
+
"eval_runtime": 27.6329,
|
| 2251 |
+
"eval_samples_per_second": 424.783,
|
| 2252 |
+
"eval_steps_per_second": 53.125,
|
| 2253 |
+
"step": 165000
|
| 2254 |
+
},
|
| 2255 |
+
{
|
| 2256 |
+
"epoch": 28.13,
|
| 2257 |
+
"learning_rate": 8.625e-07,
|
| 2258 |
+
"loss": 0.4147,
|
| 2259 |
+
"step": 165500
|
| 2260 |
+
},
|
| 2261 |
+
{
|
| 2262 |
+
"epoch": 28.22,
|
| 2263 |
+
"learning_rate": 8.500000000000001e-07,
|
| 2264 |
+
"loss": 0.4125,
|
| 2265 |
+
"step": 166000
|
| 2266 |
+
},
|
| 2267 |
+
{
|
| 2268 |
+
"epoch": 28.3,
|
| 2269 |
+
"learning_rate": 8.375000000000001e-07,
|
| 2270 |
+
"loss": 0.4117,
|
| 2271 |
+
"step": 166500
|
| 2272 |
+
},
|
| 2273 |
+
{
|
| 2274 |
+
"epoch": 28.39,
|
| 2275 |
+
"learning_rate": 8.250000000000001e-07,
|
| 2276 |
+
"loss": 0.4186,
|
| 2277 |
+
"step": 167000
|
| 2278 |
+
},
|
| 2279 |
+
{
|
| 2280 |
+
"epoch": 28.47,
|
| 2281 |
+
"learning_rate": 8.125000000000001e-07,
|
| 2282 |
+
"loss": 0.4056,
|
| 2283 |
+
"step": 167500
|
| 2284 |
+
},
|
| 2285 |
+
{
|
| 2286 |
+
"epoch": 28.56,
|
| 2287 |
+
"learning_rate": 8.000000000000001e-07,
|
| 2288 |
+
"loss": 0.4177,
|
| 2289 |
+
"step": 168000
|
| 2290 |
+
},
|
| 2291 |
+
{
|
| 2292 |
+
"epoch": 28.64,
|
| 2293 |
+
"learning_rate": 7.875000000000001e-07,
|
| 2294 |
+
"loss": 0.414,
|
| 2295 |
+
"step": 168500
|
| 2296 |
+
},
|
| 2297 |
+
{
|
| 2298 |
+
"epoch": 28.73,
|
| 2299 |
+
"learning_rate": 7.750000000000001e-07,
|
| 2300 |
+
"loss": 0.4147,
|
| 2301 |
+
"step": 169000
|
| 2302 |
+
},
|
| 2303 |
+
{
|
| 2304 |
+
"epoch": 28.81,
|
| 2305 |
+
"learning_rate": 7.625e-07,
|
| 2306 |
+
"loss": 0.4134,
|
| 2307 |
+
"step": 169500
|
| 2308 |
+
},
|
| 2309 |
+
{
|
| 2310 |
+
"epoch": 28.9,
|
| 2311 |
+
"learning_rate": 7.5e-07,
|
| 2312 |
+
"loss": 0.4219,
|
| 2313 |
+
"step": 170000
|
| 2314 |
+
},
|
| 2315 |
+
{
|
| 2316 |
+
"epoch": 28.9,
|
| 2317 |
+
"eval_loss": 0.5966935157775879,
|
| 2318 |
+
"eval_runtime": 27.6605,
|
| 2319 |
+
"eval_samples_per_second": 424.36,
|
| 2320 |
+
"eval_steps_per_second": 53.072,
|
| 2321 |
+
"step": 170000
|
| 2322 |
+
},
|
| 2323 |
+
{
|
| 2324 |
+
"epoch": 28.98,
|
| 2325 |
+
"learning_rate": 7.375e-07,
|
| 2326 |
+
"loss": 0.4117,
|
| 2327 |
+
"step": 170500
|
| 2328 |
+
},
|
| 2329 |
+
{
|
| 2330 |
+
"epoch": 29.07,
|
| 2331 |
+
"learning_rate": 7.25e-07,
|
| 2332 |
+
"loss": 0.409,
|
| 2333 |
+
"step": 171000
|
| 2334 |
+
},
|
| 2335 |
+
{
|
| 2336 |
+
"epoch": 29.15,
|
| 2337 |
+
"learning_rate": 7.125e-07,
|
| 2338 |
+
"loss": 0.4138,
|
| 2339 |
+
"step": 171500
|
| 2340 |
+
},
|
| 2341 |
+
{
|
| 2342 |
+
"epoch": 29.24,
|
| 2343 |
+
"learning_rate": 7.000000000000001e-07,
|
| 2344 |
+
"loss": 0.4104,
|
| 2345 |
+
"step": 172000
|
| 2346 |
+
},
|
| 2347 |
+
{
|
| 2348 |
+
"epoch": 29.32,
|
| 2349 |
+
"learning_rate": 6.875000000000001e-07,
|
| 2350 |
+
"loss": 0.4015,
|
| 2351 |
+
"step": 172500
|
| 2352 |
+
},
|
| 2353 |
+
{
|
| 2354 |
+
"epoch": 29.41,
|
| 2355 |
+
"learning_rate": 6.750000000000001e-07,
|
| 2356 |
+
"loss": 0.4104,
|
| 2357 |
+
"step": 173000
|
| 2358 |
+
},
|
| 2359 |
+
{
|
| 2360 |
+
"epoch": 29.49,
|
| 2361 |
+
"learning_rate": 6.625000000000001e-07,
|
| 2362 |
+
"loss": 0.4053,
|
| 2363 |
+
"step": 173500
|
| 2364 |
+
},
|
| 2365 |
+
{
|
| 2366 |
+
"epoch": 29.58,
|
| 2367 |
+
"learning_rate": 6.5e-07,
|
| 2368 |
+
"loss": 0.4163,
|
| 2369 |
+
"step": 174000
|
| 2370 |
+
},
|
| 2371 |
+
{
|
| 2372 |
+
"epoch": 29.66,
|
| 2373 |
+
"learning_rate": 6.375e-07,
|
| 2374 |
+
"loss": 0.4124,
|
| 2375 |
+
"step": 174500
|
| 2376 |
+
},
|
| 2377 |
+
{
|
| 2378 |
+
"epoch": 29.75,
|
| 2379 |
+
"learning_rate": 6.25e-07,
|
| 2380 |
+
"loss": 0.411,
|
| 2381 |
+
"step": 175000
|
| 2382 |
+
},
|
| 2383 |
+
{
|
| 2384 |
+
"epoch": 29.75,
|
| 2385 |
+
"eval_loss": 0.5960233211517334,
|
| 2386 |
+
"eval_runtime": 27.9317,
|
| 2387 |
+
"eval_samples_per_second": 420.239,
|
| 2388 |
+
"eval_steps_per_second": 52.557,
|
| 2389 |
+
"step": 175000
|
| 2390 |
+
}
|
| 2391 |
+
],
|
| 2392 |
+
"logging_steps": 500,
|
| 2393 |
+
"max_steps": 200000,
|
| 2394 |
+
"num_train_epochs": 34,
|
| 2395 |
+
"save_steps": 5000,
|
| 2396 |
+
"total_flos": 9.1304017790976e+16,
|
| 2397 |
+
"trial_name": null,
|
| 2398 |
+
"trial_params": null
|
| 2399 |
+
}
|
training_args.bin
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:6399202e41fad4c90760d18a2e6b23c2fbe9dcfb300b3b60c13b3a6e88df6965
|
| 3 |
+
size 4219
|
vocab.json
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|