Upload folder using huggingface_hub
Browse files- README.md +34 -0
- adapter_config.json +20 -0
- adapter_model.bin +3 -0
- added_tokens.json +40 -0
- merges.txt +0 -0
- optimizer.pt +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 +1519 -0
- training_args.bin +3 -0
- vocab.json +0 -0
README.md
ADDED
@@ -0,0 +1,34 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
---
|
2 |
+
library_name: peft
|
3 |
+
---
|
4 |
+
## Training procedure
|
5 |
+
|
6 |
+
|
7 |
+
The following `bitsandbytes` quantization config was used during training:
|
8 |
+
- quant_method: bitsandbytes
|
9 |
+
- load_in_8bit: False
|
10 |
+
- load_in_4bit: True
|
11 |
+
- llm_int8_threshold: 6.0
|
12 |
+
- llm_int8_skip_modules: None
|
13 |
+
- llm_int8_enable_fp32_cpu_offload: False
|
14 |
+
- llm_int8_has_fp16_weight: False
|
15 |
+
- bnb_4bit_quant_type: nf4
|
16 |
+
- bnb_4bit_use_double_quant: False
|
17 |
+
- bnb_4bit_compute_dtype: float16
|
18 |
+
|
19 |
+
The following `bitsandbytes` quantization config was used during training:
|
20 |
+
- quant_method: bitsandbytes
|
21 |
+
- load_in_8bit: False
|
22 |
+
- load_in_4bit: True
|
23 |
+
- llm_int8_threshold: 6.0
|
24 |
+
- llm_int8_skip_modules: None
|
25 |
+
- llm_int8_enable_fp32_cpu_offload: False
|
26 |
+
- llm_int8_has_fp16_weight: False
|
27 |
+
- bnb_4bit_quant_type: nf4
|
28 |
+
- bnb_4bit_use_double_quant: False
|
29 |
+
- bnb_4bit_compute_dtype: float16
|
30 |
+
### Framework versions
|
31 |
+
|
32 |
+
- PEFT 0.5.0
|
33 |
+
|
34 |
+
- PEFT 0.5.0
|
adapter_config.json
ADDED
@@ -0,0 +1,20 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"auto_mapping": null,
|
3 |
+
"base_model_name_or_path": "Salesforce/codegen-6b-mono",
|
4 |
+
"bias": "none",
|
5 |
+
"fan_in_fan_out": false,
|
6 |
+
"inference_mode": true,
|
7 |
+
"init_lora_weights": true,
|
8 |
+
"layers_pattern": null,
|
9 |
+
"layers_to_transform": null,
|
10 |
+
"lora_alpha": 16,
|
11 |
+
"lora_dropout": 0.1,
|
12 |
+
"modules_to_save": null,
|
13 |
+
"peft_type": "LORA",
|
14 |
+
"r": 64,
|
15 |
+
"revision": null,
|
16 |
+
"target_modules": [
|
17 |
+
"qkv_proj"
|
18 |
+
],
|
19 |
+
"task_type": "CAUSAL_LM"
|
20 |
+
}
|
adapter_model.bin
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:b09bf722943ef43f4dde7c20d4650958f57fb7730fa490ba042f0efc3be36a15
|
3 |
+
size 138435511
|
added_tokens.json
ADDED
@@ -0,0 +1,40 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"\t\t": 50294,
|
3 |
+
"\t\t\t": 50293,
|
4 |
+
"\t\t\t\t": 50292,
|
5 |
+
"\t\t\t\t\t": 50291,
|
6 |
+
"\t\t\t\t\t\t": 50290,
|
7 |
+
"\t\t\t\t\t\t\t": 50289,
|
8 |
+
"\t\t\t\t\t\t\t\t": 50288,
|
9 |
+
"\t\t\t\t\t\t\t\t\t": 50287,
|
10 |
+
" ": 50286,
|
11 |
+
" ": 50285,
|
12 |
+
" ": 50284,
|
13 |
+
" ": 50283,
|
14 |
+
" ": 50282,
|
15 |
+
" ": 50281,
|
16 |
+
" ": 50280,
|
17 |
+
" ": 50279,
|
18 |
+
" ": 50278,
|
19 |
+
" ": 50277,
|
20 |
+
" ": 50276,
|
21 |
+
" ": 50275,
|
22 |
+
" ": 50274,
|
23 |
+
" ": 50273,
|
24 |
+
" ": 50272,
|
25 |
+
" ": 50271,
|
26 |
+
" ": 50270,
|
27 |
+
" ": 50269,
|
28 |
+
" ": 50268,
|
29 |
+
" ": 50267,
|
30 |
+
" ": 50266,
|
31 |
+
" ": 50265,
|
32 |
+
" ": 50264,
|
33 |
+
" ": 50263,
|
34 |
+
" ": 50262,
|
35 |
+
" ": 50261,
|
36 |
+
" ": 50260,
|
37 |
+
" ": 50259,
|
38 |
+
" ": 50258,
|
39 |
+
" ": 50257
|
40 |
+
}
|
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:f46a11ebd359a719d01ab731fe173bb3fa7f4f2740564e76a51aea03a18b1f6f
|
3 |
+
size 276879621
|
rng_state.pth
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:65509627fe170ce257302476fe89be7d9238e42d8d33879f1fc06ee831b50431
|
3 |
+
size 14575
|
scheduler.pt
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:89c55e4560e2a0ba616a44339cfed20c491aa0e7999ee833864a36865060dad8
|
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": 2048,
|
7 |
+
"tokenizer_class": "CodeGenTokenizer",
|
8 |
+
"unk_token": "<|endoftext|>"
|
9 |
+
}
|
trainer_state.json
ADDED
@@ -0,0 +1,1519 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"best_metric": null,
|
3 |
+
"best_model_checkpoint": null,
|
4 |
+
"epoch": 0.5332764505119454,
|
5 |
+
"eval_steps": 500,
|
6 |
+
"global_step": 2500,
|
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 |
+
"learning_rate": 0.00019920000000000002,
|
14 |
+
"loss": 0.7329,
|
15 |
+
"step": 10
|
16 |
+
},
|
17 |
+
{
|
18 |
+
"epoch": 0.0,
|
19 |
+
"learning_rate": 0.0001984,
|
20 |
+
"loss": 0.6631,
|
21 |
+
"step": 20
|
22 |
+
},
|
23 |
+
{
|
24 |
+
"epoch": 0.01,
|
25 |
+
"learning_rate": 0.0001976,
|
26 |
+
"loss": 0.6847,
|
27 |
+
"step": 30
|
28 |
+
},
|
29 |
+
{
|
30 |
+
"epoch": 0.01,
|
31 |
+
"learning_rate": 0.0001968,
|
32 |
+
"loss": 0.6664,
|
33 |
+
"step": 40
|
34 |
+
},
|
35 |
+
{
|
36 |
+
"epoch": 0.01,
|
37 |
+
"learning_rate": 0.000196,
|
38 |
+
"loss": 0.6473,
|
39 |
+
"step": 50
|
40 |
+
},
|
41 |
+
{
|
42 |
+
"epoch": 0.01,
|
43 |
+
"learning_rate": 0.0001952,
|
44 |
+
"loss": 0.6375,
|
45 |
+
"step": 60
|
46 |
+
},
|
47 |
+
{
|
48 |
+
"epoch": 0.01,
|
49 |
+
"learning_rate": 0.0001944,
|
50 |
+
"loss": 0.6439,
|
51 |
+
"step": 70
|
52 |
+
},
|
53 |
+
{
|
54 |
+
"epoch": 0.02,
|
55 |
+
"learning_rate": 0.00019360000000000002,
|
56 |
+
"loss": 0.6296,
|
57 |
+
"step": 80
|
58 |
+
},
|
59 |
+
{
|
60 |
+
"epoch": 0.02,
|
61 |
+
"learning_rate": 0.0001928,
|
62 |
+
"loss": 0.6091,
|
63 |
+
"step": 90
|
64 |
+
},
|
65 |
+
{
|
66 |
+
"epoch": 0.02,
|
67 |
+
"learning_rate": 0.000192,
|
68 |
+
"loss": 0.666,
|
69 |
+
"step": 100
|
70 |
+
},
|
71 |
+
{
|
72 |
+
"epoch": 0.02,
|
73 |
+
"learning_rate": 0.0001912,
|
74 |
+
"loss": 0.609,
|
75 |
+
"step": 110
|
76 |
+
},
|
77 |
+
{
|
78 |
+
"epoch": 0.03,
|
79 |
+
"learning_rate": 0.0001904,
|
80 |
+
"loss": 0.6169,
|
81 |
+
"step": 120
|
82 |
+
},
|
83 |
+
{
|
84 |
+
"epoch": 0.03,
|
85 |
+
"learning_rate": 0.0001896,
|
86 |
+
"loss": 0.667,
|
87 |
+
"step": 130
|
88 |
+
},
|
89 |
+
{
|
90 |
+
"epoch": 0.03,
|
91 |
+
"learning_rate": 0.0001888,
|
92 |
+
"loss": 0.6957,
|
93 |
+
"step": 140
|
94 |
+
},
|
95 |
+
{
|
96 |
+
"epoch": 0.03,
|
97 |
+
"learning_rate": 0.000188,
|
98 |
+
"loss": 0.6389,
|
99 |
+
"step": 150
|
100 |
+
},
|
101 |
+
{
|
102 |
+
"epoch": 0.03,
|
103 |
+
"learning_rate": 0.00018720000000000002,
|
104 |
+
"loss": 0.6083,
|
105 |
+
"step": 160
|
106 |
+
},
|
107 |
+
{
|
108 |
+
"epoch": 0.04,
|
109 |
+
"learning_rate": 0.00018640000000000003,
|
110 |
+
"loss": 0.6292,
|
111 |
+
"step": 170
|
112 |
+
},
|
113 |
+
{
|
114 |
+
"epoch": 0.04,
|
115 |
+
"learning_rate": 0.0001856,
|
116 |
+
"loss": 0.6457,
|
117 |
+
"step": 180
|
118 |
+
},
|
119 |
+
{
|
120 |
+
"epoch": 0.04,
|
121 |
+
"learning_rate": 0.00018480000000000002,
|
122 |
+
"loss": 0.632,
|
123 |
+
"step": 190
|
124 |
+
},
|
125 |
+
{
|
126 |
+
"epoch": 0.04,
|
127 |
+
"learning_rate": 0.00018400000000000003,
|
128 |
+
"loss": 0.6359,
|
129 |
+
"step": 200
|
130 |
+
},
|
131 |
+
{
|
132 |
+
"epoch": 0.04,
|
133 |
+
"learning_rate": 0.0001832,
|
134 |
+
"loss": 0.6001,
|
135 |
+
"step": 210
|
136 |
+
},
|
137 |
+
{
|
138 |
+
"epoch": 0.05,
|
139 |
+
"learning_rate": 0.00018240000000000002,
|
140 |
+
"loss": 0.6836,
|
141 |
+
"step": 220
|
142 |
+
},
|
143 |
+
{
|
144 |
+
"epoch": 0.05,
|
145 |
+
"learning_rate": 0.00018160000000000002,
|
146 |
+
"loss": 0.6453,
|
147 |
+
"step": 230
|
148 |
+
},
|
149 |
+
{
|
150 |
+
"epoch": 0.05,
|
151 |
+
"learning_rate": 0.0001808,
|
152 |
+
"loss": 0.6166,
|
153 |
+
"step": 240
|
154 |
+
},
|
155 |
+
{
|
156 |
+
"epoch": 0.05,
|
157 |
+
"learning_rate": 0.00018,
|
158 |
+
"loss": 0.6484,
|
159 |
+
"step": 250
|
160 |
+
},
|
161 |
+
{
|
162 |
+
"epoch": 0.06,
|
163 |
+
"learning_rate": 0.00017920000000000002,
|
164 |
+
"loss": 0.6124,
|
165 |
+
"step": 260
|
166 |
+
},
|
167 |
+
{
|
168 |
+
"epoch": 0.06,
|
169 |
+
"learning_rate": 0.0001784,
|
170 |
+
"loss": 0.6468,
|
171 |
+
"step": 270
|
172 |
+
},
|
173 |
+
{
|
174 |
+
"epoch": 0.06,
|
175 |
+
"learning_rate": 0.0001776,
|
176 |
+
"loss": 0.6643,
|
177 |
+
"step": 280
|
178 |
+
},
|
179 |
+
{
|
180 |
+
"epoch": 0.06,
|
181 |
+
"learning_rate": 0.00017680000000000001,
|
182 |
+
"loss": 0.6419,
|
183 |
+
"step": 290
|
184 |
+
},
|
185 |
+
{
|
186 |
+
"epoch": 0.06,
|
187 |
+
"learning_rate": 0.00017600000000000002,
|
188 |
+
"loss": 0.6167,
|
189 |
+
"step": 300
|
190 |
+
},
|
191 |
+
{
|
192 |
+
"epoch": 0.07,
|
193 |
+
"learning_rate": 0.0001752,
|
194 |
+
"loss": 0.6726,
|
195 |
+
"step": 310
|
196 |
+
},
|
197 |
+
{
|
198 |
+
"epoch": 0.07,
|
199 |
+
"learning_rate": 0.0001744,
|
200 |
+
"loss": 0.6471,
|
201 |
+
"step": 320
|
202 |
+
},
|
203 |
+
{
|
204 |
+
"epoch": 0.07,
|
205 |
+
"learning_rate": 0.00017360000000000002,
|
206 |
+
"loss": 0.6225,
|
207 |
+
"step": 330
|
208 |
+
},
|
209 |
+
{
|
210 |
+
"epoch": 0.07,
|
211 |
+
"learning_rate": 0.0001728,
|
212 |
+
"loss": 0.65,
|
213 |
+
"step": 340
|
214 |
+
},
|
215 |
+
{
|
216 |
+
"epoch": 0.07,
|
217 |
+
"learning_rate": 0.000172,
|
218 |
+
"loss": 0.6224,
|
219 |
+
"step": 350
|
220 |
+
},
|
221 |
+
{
|
222 |
+
"epoch": 0.08,
|
223 |
+
"learning_rate": 0.00017120000000000001,
|
224 |
+
"loss": 0.6655,
|
225 |
+
"step": 360
|
226 |
+
},
|
227 |
+
{
|
228 |
+
"epoch": 0.08,
|
229 |
+
"learning_rate": 0.0001704,
|
230 |
+
"loss": 0.5612,
|
231 |
+
"step": 370
|
232 |
+
},
|
233 |
+
{
|
234 |
+
"epoch": 0.08,
|
235 |
+
"learning_rate": 0.0001696,
|
236 |
+
"loss": 0.6549,
|
237 |
+
"step": 380
|
238 |
+
},
|
239 |
+
{
|
240 |
+
"epoch": 0.08,
|
241 |
+
"learning_rate": 0.0001688,
|
242 |
+
"loss": 0.6326,
|
243 |
+
"step": 390
|
244 |
+
},
|
245 |
+
{
|
246 |
+
"epoch": 0.09,
|
247 |
+
"learning_rate": 0.000168,
|
248 |
+
"loss": 0.655,
|
249 |
+
"step": 400
|
250 |
+
},
|
251 |
+
{
|
252 |
+
"epoch": 0.09,
|
253 |
+
"learning_rate": 0.0001672,
|
254 |
+
"loss": 0.6217,
|
255 |
+
"step": 410
|
256 |
+
},
|
257 |
+
{
|
258 |
+
"epoch": 0.09,
|
259 |
+
"learning_rate": 0.0001664,
|
260 |
+
"loss": 0.629,
|
261 |
+
"step": 420
|
262 |
+
},
|
263 |
+
{
|
264 |
+
"epoch": 0.09,
|
265 |
+
"learning_rate": 0.0001656,
|
266 |
+
"loss": 0.5918,
|
267 |
+
"step": 430
|
268 |
+
},
|
269 |
+
{
|
270 |
+
"epoch": 0.09,
|
271 |
+
"learning_rate": 0.0001648,
|
272 |
+
"loss": 0.6537,
|
273 |
+
"step": 440
|
274 |
+
},
|
275 |
+
{
|
276 |
+
"epoch": 0.1,
|
277 |
+
"learning_rate": 0.000164,
|
278 |
+
"loss": 0.6345,
|
279 |
+
"step": 450
|
280 |
+
},
|
281 |
+
{
|
282 |
+
"epoch": 0.1,
|
283 |
+
"learning_rate": 0.0001632,
|
284 |
+
"loss": 0.6487,
|
285 |
+
"step": 460
|
286 |
+
},
|
287 |
+
{
|
288 |
+
"epoch": 0.1,
|
289 |
+
"learning_rate": 0.00016240000000000002,
|
290 |
+
"loss": 0.6369,
|
291 |
+
"step": 470
|
292 |
+
},
|
293 |
+
{
|
294 |
+
"epoch": 0.1,
|
295 |
+
"learning_rate": 0.00016160000000000002,
|
296 |
+
"loss": 0.5833,
|
297 |
+
"step": 480
|
298 |
+
},
|
299 |
+
{
|
300 |
+
"epoch": 0.1,
|
301 |
+
"learning_rate": 0.0001608,
|
302 |
+
"loss": 0.5886,
|
303 |
+
"step": 490
|
304 |
+
},
|
305 |
+
{
|
306 |
+
"epoch": 0.11,
|
307 |
+
"learning_rate": 0.00016,
|
308 |
+
"loss": 0.6355,
|
309 |
+
"step": 500
|
310 |
+
},
|
311 |
+
{
|
312 |
+
"epoch": 0.11,
|
313 |
+
"learning_rate": 0.00015920000000000002,
|
314 |
+
"loss": 0.6534,
|
315 |
+
"step": 510
|
316 |
+
},
|
317 |
+
{
|
318 |
+
"epoch": 0.11,
|
319 |
+
"learning_rate": 0.00015840000000000003,
|
320 |
+
"loss": 0.6403,
|
321 |
+
"step": 520
|
322 |
+
},
|
323 |
+
{
|
324 |
+
"epoch": 0.11,
|
325 |
+
"learning_rate": 0.0001576,
|
326 |
+
"loss": 0.6309,
|
327 |
+
"step": 530
|
328 |
+
},
|
329 |
+
{
|
330 |
+
"epoch": 0.12,
|
331 |
+
"learning_rate": 0.00015680000000000002,
|
332 |
+
"loss": 0.6503,
|
333 |
+
"step": 540
|
334 |
+
},
|
335 |
+
{
|
336 |
+
"epoch": 0.12,
|
337 |
+
"learning_rate": 0.00015600000000000002,
|
338 |
+
"loss": 0.6392,
|
339 |
+
"step": 550
|
340 |
+
},
|
341 |
+
{
|
342 |
+
"epoch": 0.12,
|
343 |
+
"learning_rate": 0.0001552,
|
344 |
+
"loss": 0.5728,
|
345 |
+
"step": 560
|
346 |
+
},
|
347 |
+
{
|
348 |
+
"epoch": 0.12,
|
349 |
+
"learning_rate": 0.0001544,
|
350 |
+
"loss": 0.6342,
|
351 |
+
"step": 570
|
352 |
+
},
|
353 |
+
{
|
354 |
+
"epoch": 0.12,
|
355 |
+
"learning_rate": 0.00015360000000000002,
|
356 |
+
"loss": 0.6122,
|
357 |
+
"step": 580
|
358 |
+
},
|
359 |
+
{
|
360 |
+
"epoch": 0.13,
|
361 |
+
"learning_rate": 0.0001528,
|
362 |
+
"loss": 0.6261,
|
363 |
+
"step": 590
|
364 |
+
},
|
365 |
+
{
|
366 |
+
"epoch": 0.13,
|
367 |
+
"learning_rate": 0.000152,
|
368 |
+
"loss": 0.6304,
|
369 |
+
"step": 600
|
370 |
+
},
|
371 |
+
{
|
372 |
+
"epoch": 0.13,
|
373 |
+
"learning_rate": 0.00015120000000000002,
|
374 |
+
"loss": 0.5954,
|
375 |
+
"step": 610
|
376 |
+
},
|
377 |
+
{
|
378 |
+
"epoch": 0.13,
|
379 |
+
"learning_rate": 0.0001504,
|
380 |
+
"loss": 0.6474,
|
381 |
+
"step": 620
|
382 |
+
},
|
383 |
+
{
|
384 |
+
"epoch": 0.13,
|
385 |
+
"learning_rate": 0.0001496,
|
386 |
+
"loss": 0.6208,
|
387 |
+
"step": 630
|
388 |
+
},
|
389 |
+
{
|
390 |
+
"epoch": 0.14,
|
391 |
+
"learning_rate": 0.0001488,
|
392 |
+
"loss": 0.6111,
|
393 |
+
"step": 640
|
394 |
+
},
|
395 |
+
{
|
396 |
+
"epoch": 0.14,
|
397 |
+
"learning_rate": 0.000148,
|
398 |
+
"loss": 0.6197,
|
399 |
+
"step": 650
|
400 |
+
},
|
401 |
+
{
|
402 |
+
"epoch": 0.14,
|
403 |
+
"learning_rate": 0.0001472,
|
404 |
+
"loss": 0.6084,
|
405 |
+
"step": 660
|
406 |
+
},
|
407 |
+
{
|
408 |
+
"epoch": 0.14,
|
409 |
+
"learning_rate": 0.0001464,
|
410 |
+
"loss": 0.6221,
|
411 |
+
"step": 670
|
412 |
+
},
|
413 |
+
{
|
414 |
+
"epoch": 0.15,
|
415 |
+
"learning_rate": 0.00014560000000000002,
|
416 |
+
"loss": 0.5966,
|
417 |
+
"step": 680
|
418 |
+
},
|
419 |
+
{
|
420 |
+
"epoch": 0.15,
|
421 |
+
"learning_rate": 0.0001448,
|
422 |
+
"loss": 0.6083,
|
423 |
+
"step": 690
|
424 |
+
},
|
425 |
+
{
|
426 |
+
"epoch": 0.15,
|
427 |
+
"learning_rate": 0.000144,
|
428 |
+
"loss": 0.638,
|
429 |
+
"step": 700
|
430 |
+
},
|
431 |
+
{
|
432 |
+
"epoch": 0.15,
|
433 |
+
"learning_rate": 0.0001432,
|
434 |
+
"loss": 0.6061,
|
435 |
+
"step": 710
|
436 |
+
},
|
437 |
+
{
|
438 |
+
"epoch": 0.15,
|
439 |
+
"learning_rate": 0.0001424,
|
440 |
+
"loss": 0.5508,
|
441 |
+
"step": 720
|
442 |
+
},
|
443 |
+
{
|
444 |
+
"epoch": 0.16,
|
445 |
+
"learning_rate": 0.0001416,
|
446 |
+
"loss": 0.6224,
|
447 |
+
"step": 730
|
448 |
+
},
|
449 |
+
{
|
450 |
+
"epoch": 0.16,
|
451 |
+
"learning_rate": 0.0001408,
|
452 |
+
"loss": 0.6335,
|
453 |
+
"step": 740
|
454 |
+
},
|
455 |
+
{
|
456 |
+
"epoch": 0.16,
|
457 |
+
"learning_rate": 0.00014,
|
458 |
+
"loss": 0.6226,
|
459 |
+
"step": 750
|
460 |
+
},
|
461 |
+
{
|
462 |
+
"epoch": 0.16,
|
463 |
+
"learning_rate": 0.0001392,
|
464 |
+
"loss": 0.6698,
|
465 |
+
"step": 760
|
466 |
+
},
|
467 |
+
{
|
468 |
+
"epoch": 0.16,
|
469 |
+
"learning_rate": 0.0001384,
|
470 |
+
"loss": 0.6359,
|
471 |
+
"step": 770
|
472 |
+
},
|
473 |
+
{
|
474 |
+
"epoch": 0.17,
|
475 |
+
"learning_rate": 0.00013759999999999998,
|
476 |
+
"loss": 0.6438,
|
477 |
+
"step": 780
|
478 |
+
},
|
479 |
+
{
|
480 |
+
"epoch": 0.17,
|
481 |
+
"learning_rate": 0.00013680000000000002,
|
482 |
+
"loss": 0.5933,
|
483 |
+
"step": 790
|
484 |
+
},
|
485 |
+
{
|
486 |
+
"epoch": 0.17,
|
487 |
+
"learning_rate": 0.00013600000000000003,
|
488 |
+
"loss": 0.6064,
|
489 |
+
"step": 800
|
490 |
+
},
|
491 |
+
{
|
492 |
+
"epoch": 0.17,
|
493 |
+
"learning_rate": 0.0001352,
|
494 |
+
"loss": 0.5931,
|
495 |
+
"step": 810
|
496 |
+
},
|
497 |
+
{
|
498 |
+
"epoch": 0.17,
|
499 |
+
"learning_rate": 0.00013440000000000001,
|
500 |
+
"loss": 0.6236,
|
501 |
+
"step": 820
|
502 |
+
},
|
503 |
+
{
|
504 |
+
"epoch": 0.18,
|
505 |
+
"learning_rate": 0.00013360000000000002,
|
506 |
+
"loss": 0.6766,
|
507 |
+
"step": 830
|
508 |
+
},
|
509 |
+
{
|
510 |
+
"epoch": 0.18,
|
511 |
+
"learning_rate": 0.0001328,
|
512 |
+
"loss": 0.6069,
|
513 |
+
"step": 840
|
514 |
+
},
|
515 |
+
{
|
516 |
+
"epoch": 0.18,
|
517 |
+
"learning_rate": 0.000132,
|
518 |
+
"loss": 0.6348,
|
519 |
+
"step": 850
|
520 |
+
},
|
521 |
+
{
|
522 |
+
"epoch": 0.18,
|
523 |
+
"learning_rate": 0.00013120000000000002,
|
524 |
+
"loss": 0.6271,
|
525 |
+
"step": 860
|
526 |
+
},
|
527 |
+
{
|
528 |
+
"epoch": 0.19,
|
529 |
+
"learning_rate": 0.0001304,
|
530 |
+
"loss": 0.617,
|
531 |
+
"step": 870
|
532 |
+
},
|
533 |
+
{
|
534 |
+
"epoch": 0.19,
|
535 |
+
"learning_rate": 0.0001296,
|
536 |
+
"loss": 0.6155,
|
537 |
+
"step": 880
|
538 |
+
},
|
539 |
+
{
|
540 |
+
"epoch": 0.19,
|
541 |
+
"learning_rate": 0.00012880000000000001,
|
542 |
+
"loss": 0.6675,
|
543 |
+
"step": 890
|
544 |
+
},
|
545 |
+
{
|
546 |
+
"epoch": 0.19,
|
547 |
+
"learning_rate": 0.00012800000000000002,
|
548 |
+
"loss": 0.6111,
|
549 |
+
"step": 900
|
550 |
+
},
|
551 |
+
{
|
552 |
+
"epoch": 0.19,
|
553 |
+
"learning_rate": 0.0001272,
|
554 |
+
"loss": 0.6024,
|
555 |
+
"step": 910
|
556 |
+
},
|
557 |
+
{
|
558 |
+
"epoch": 0.2,
|
559 |
+
"learning_rate": 0.0001264,
|
560 |
+
"loss": 0.6653,
|
561 |
+
"step": 920
|
562 |
+
},
|
563 |
+
{
|
564 |
+
"epoch": 0.2,
|
565 |
+
"learning_rate": 0.00012560000000000002,
|
566 |
+
"loss": 0.6131,
|
567 |
+
"step": 930
|
568 |
+
},
|
569 |
+
{
|
570 |
+
"epoch": 0.2,
|
571 |
+
"learning_rate": 0.0001248,
|
572 |
+
"loss": 0.652,
|
573 |
+
"step": 940
|
574 |
+
},
|
575 |
+
{
|
576 |
+
"epoch": 0.2,
|
577 |
+
"learning_rate": 0.000124,
|
578 |
+
"loss": 0.6458,
|
579 |
+
"step": 950
|
580 |
+
},
|
581 |
+
{
|
582 |
+
"epoch": 0.2,
|
583 |
+
"learning_rate": 0.0001232,
|
584 |
+
"loss": 0.6021,
|
585 |
+
"step": 960
|
586 |
+
},
|
587 |
+
{
|
588 |
+
"epoch": 0.21,
|
589 |
+
"learning_rate": 0.0001224,
|
590 |
+
"loss": 0.5542,
|
591 |
+
"step": 970
|
592 |
+
},
|
593 |
+
{
|
594 |
+
"epoch": 0.21,
|
595 |
+
"learning_rate": 0.0001216,
|
596 |
+
"loss": 0.5546,
|
597 |
+
"step": 980
|
598 |
+
},
|
599 |
+
{
|
600 |
+
"epoch": 0.21,
|
601 |
+
"learning_rate": 0.0001208,
|
602 |
+
"loss": 0.6078,
|
603 |
+
"step": 990
|
604 |
+
},
|
605 |
+
{
|
606 |
+
"epoch": 0.21,
|
607 |
+
"learning_rate": 0.00012,
|
608 |
+
"loss": 0.5921,
|
609 |
+
"step": 1000
|
610 |
+
},
|
611 |
+
{
|
612 |
+
"epoch": 0.22,
|
613 |
+
"learning_rate": 0.0001192,
|
614 |
+
"loss": 0.604,
|
615 |
+
"step": 1010
|
616 |
+
},
|
617 |
+
{
|
618 |
+
"epoch": 0.22,
|
619 |
+
"learning_rate": 0.0001184,
|
620 |
+
"loss": 0.6743,
|
621 |
+
"step": 1020
|
622 |
+
},
|
623 |
+
{
|
624 |
+
"epoch": 0.22,
|
625 |
+
"learning_rate": 0.0001176,
|
626 |
+
"loss": 0.5667,
|
627 |
+
"step": 1030
|
628 |
+
},
|
629 |
+
{
|
630 |
+
"epoch": 0.22,
|
631 |
+
"learning_rate": 0.00011679999999999999,
|
632 |
+
"loss": 0.6185,
|
633 |
+
"step": 1040
|
634 |
+
},
|
635 |
+
{
|
636 |
+
"epoch": 0.22,
|
637 |
+
"learning_rate": 0.000116,
|
638 |
+
"loss": 0.6217,
|
639 |
+
"step": 1050
|
640 |
+
},
|
641 |
+
{
|
642 |
+
"epoch": 0.23,
|
643 |
+
"learning_rate": 0.0001152,
|
644 |
+
"loss": 0.5815,
|
645 |
+
"step": 1060
|
646 |
+
},
|
647 |
+
{
|
648 |
+
"epoch": 0.23,
|
649 |
+
"learning_rate": 0.0001144,
|
650 |
+
"loss": 0.6239,
|
651 |
+
"step": 1070
|
652 |
+
},
|
653 |
+
{
|
654 |
+
"epoch": 0.23,
|
655 |
+
"learning_rate": 0.0001136,
|
656 |
+
"loss": 0.5908,
|
657 |
+
"step": 1080
|
658 |
+
},
|
659 |
+
{
|
660 |
+
"epoch": 0.23,
|
661 |
+
"learning_rate": 0.00011279999999999999,
|
662 |
+
"loss": 0.6232,
|
663 |
+
"step": 1090
|
664 |
+
},
|
665 |
+
{
|
666 |
+
"epoch": 0.23,
|
667 |
+
"learning_rate": 0.00011200000000000001,
|
668 |
+
"loss": 0.6196,
|
669 |
+
"step": 1100
|
670 |
+
},
|
671 |
+
{
|
672 |
+
"epoch": 0.24,
|
673 |
+
"learning_rate": 0.00011120000000000002,
|
674 |
+
"loss": 0.631,
|
675 |
+
"step": 1110
|
676 |
+
},
|
677 |
+
{
|
678 |
+
"epoch": 0.24,
|
679 |
+
"learning_rate": 0.00011040000000000001,
|
680 |
+
"loss": 0.6306,
|
681 |
+
"step": 1120
|
682 |
+
},
|
683 |
+
{
|
684 |
+
"epoch": 0.24,
|
685 |
+
"learning_rate": 0.00010960000000000001,
|
686 |
+
"loss": 0.6268,
|
687 |
+
"step": 1130
|
688 |
+
},
|
689 |
+
{
|
690 |
+
"epoch": 0.24,
|
691 |
+
"learning_rate": 0.00010880000000000002,
|
692 |
+
"loss": 0.6004,
|
693 |
+
"step": 1140
|
694 |
+
},
|
695 |
+
{
|
696 |
+
"epoch": 0.25,
|
697 |
+
"learning_rate": 0.00010800000000000001,
|
698 |
+
"loss": 0.6476,
|
699 |
+
"step": 1150
|
700 |
+
},
|
701 |
+
{
|
702 |
+
"epoch": 0.25,
|
703 |
+
"learning_rate": 0.00010720000000000002,
|
704 |
+
"loss": 0.6585,
|
705 |
+
"step": 1160
|
706 |
+
},
|
707 |
+
{
|
708 |
+
"epoch": 0.25,
|
709 |
+
"learning_rate": 0.00010640000000000001,
|
710 |
+
"loss": 0.6044,
|
711 |
+
"step": 1170
|
712 |
+
},
|
713 |
+
{
|
714 |
+
"epoch": 0.25,
|
715 |
+
"learning_rate": 0.0001056,
|
716 |
+
"loss": 0.557,
|
717 |
+
"step": 1180
|
718 |
+
},
|
719 |
+
{
|
720 |
+
"epoch": 0.25,
|
721 |
+
"learning_rate": 0.00010480000000000001,
|
722 |
+
"loss": 0.5878,
|
723 |
+
"step": 1190
|
724 |
+
},
|
725 |
+
{
|
726 |
+
"epoch": 0.26,
|
727 |
+
"learning_rate": 0.00010400000000000001,
|
728 |
+
"loss": 0.6124,
|
729 |
+
"step": 1200
|
730 |
+
},
|
731 |
+
{
|
732 |
+
"epoch": 0.26,
|
733 |
+
"learning_rate": 0.0001032,
|
734 |
+
"loss": 0.6414,
|
735 |
+
"step": 1210
|
736 |
+
},
|
737 |
+
{
|
738 |
+
"epoch": 0.26,
|
739 |
+
"learning_rate": 0.00010240000000000001,
|
740 |
+
"loss": 0.6592,
|
741 |
+
"step": 1220
|
742 |
+
},
|
743 |
+
{
|
744 |
+
"epoch": 0.26,
|
745 |
+
"learning_rate": 0.0001016,
|
746 |
+
"loss": 0.6568,
|
747 |
+
"step": 1230
|
748 |
+
},
|
749 |
+
{
|
750 |
+
"epoch": 0.26,
|
751 |
+
"learning_rate": 0.00010080000000000001,
|
752 |
+
"loss": 0.641,
|
753 |
+
"step": 1240
|
754 |
+
},
|
755 |
+
{
|
756 |
+
"epoch": 0.27,
|
757 |
+
"learning_rate": 0.0001,
|
758 |
+
"loss": 0.6111,
|
759 |
+
"step": 1250
|
760 |
+
},
|
761 |
+
{
|
762 |
+
"epoch": 0.27,
|
763 |
+
"learning_rate": 9.92e-05,
|
764 |
+
"loss": 0.6521,
|
765 |
+
"step": 1260
|
766 |
+
},
|
767 |
+
{
|
768 |
+
"epoch": 0.27,
|
769 |
+
"learning_rate": 9.84e-05,
|
770 |
+
"loss": 0.6136,
|
771 |
+
"step": 1270
|
772 |
+
},
|
773 |
+
{
|
774 |
+
"epoch": 0.27,
|
775 |
+
"learning_rate": 9.76e-05,
|
776 |
+
"loss": 0.6234,
|
777 |
+
"step": 1280
|
778 |
+
},
|
779 |
+
{
|
780 |
+
"epoch": 0.28,
|
781 |
+
"learning_rate": 9.680000000000001e-05,
|
782 |
+
"loss": 0.6285,
|
783 |
+
"step": 1290
|
784 |
+
},
|
785 |
+
{
|
786 |
+
"epoch": 0.28,
|
787 |
+
"learning_rate": 9.6e-05,
|
788 |
+
"loss": 0.5598,
|
789 |
+
"step": 1300
|
790 |
+
},
|
791 |
+
{
|
792 |
+
"epoch": 0.28,
|
793 |
+
"learning_rate": 9.52e-05,
|
794 |
+
"loss": 0.5861,
|
795 |
+
"step": 1310
|
796 |
+
},
|
797 |
+
{
|
798 |
+
"epoch": 0.28,
|
799 |
+
"learning_rate": 9.44e-05,
|
800 |
+
"loss": 0.6279,
|
801 |
+
"step": 1320
|
802 |
+
},
|
803 |
+
{
|
804 |
+
"epoch": 0.28,
|
805 |
+
"learning_rate": 9.360000000000001e-05,
|
806 |
+
"loss": 0.6424,
|
807 |
+
"step": 1330
|
808 |
+
},
|
809 |
+
{
|
810 |
+
"epoch": 0.29,
|
811 |
+
"learning_rate": 9.28e-05,
|
812 |
+
"loss": 0.615,
|
813 |
+
"step": 1340
|
814 |
+
},
|
815 |
+
{
|
816 |
+
"epoch": 0.29,
|
817 |
+
"learning_rate": 9.200000000000001e-05,
|
818 |
+
"loss": 0.559,
|
819 |
+
"step": 1350
|
820 |
+
},
|
821 |
+
{
|
822 |
+
"epoch": 0.29,
|
823 |
+
"learning_rate": 9.120000000000001e-05,
|
824 |
+
"loss": 0.6372,
|
825 |
+
"step": 1360
|
826 |
+
},
|
827 |
+
{
|
828 |
+
"epoch": 0.29,
|
829 |
+
"learning_rate": 9.04e-05,
|
830 |
+
"loss": 0.6289,
|
831 |
+
"step": 1370
|
832 |
+
},
|
833 |
+
{
|
834 |
+
"epoch": 0.29,
|
835 |
+
"learning_rate": 8.960000000000001e-05,
|
836 |
+
"loss": 0.5756,
|
837 |
+
"step": 1380
|
838 |
+
},
|
839 |
+
{
|
840 |
+
"epoch": 0.3,
|
841 |
+
"learning_rate": 8.88e-05,
|
842 |
+
"loss": 0.6304,
|
843 |
+
"step": 1390
|
844 |
+
},
|
845 |
+
{
|
846 |
+
"epoch": 0.3,
|
847 |
+
"learning_rate": 8.800000000000001e-05,
|
848 |
+
"loss": 0.6215,
|
849 |
+
"step": 1400
|
850 |
+
},
|
851 |
+
{
|
852 |
+
"epoch": 0.3,
|
853 |
+
"learning_rate": 8.72e-05,
|
854 |
+
"loss": 0.6352,
|
855 |
+
"step": 1410
|
856 |
+
},
|
857 |
+
{
|
858 |
+
"epoch": 0.3,
|
859 |
+
"learning_rate": 8.64e-05,
|
860 |
+
"loss": 0.616,
|
861 |
+
"step": 1420
|
862 |
+
},
|
863 |
+
{
|
864 |
+
"epoch": 0.31,
|
865 |
+
"learning_rate": 8.560000000000001e-05,
|
866 |
+
"loss": 0.5982,
|
867 |
+
"step": 1430
|
868 |
+
},
|
869 |
+
{
|
870 |
+
"epoch": 0.31,
|
871 |
+
"learning_rate": 8.48e-05,
|
872 |
+
"loss": 0.5988,
|
873 |
+
"step": 1440
|
874 |
+
},
|
875 |
+
{
|
876 |
+
"epoch": 0.31,
|
877 |
+
"learning_rate": 8.4e-05,
|
878 |
+
"loss": 0.6354,
|
879 |
+
"step": 1450
|
880 |
+
},
|
881 |
+
{
|
882 |
+
"epoch": 0.31,
|
883 |
+
"learning_rate": 8.32e-05,
|
884 |
+
"loss": 0.6507,
|
885 |
+
"step": 1460
|
886 |
+
},
|
887 |
+
{
|
888 |
+
"epoch": 0.31,
|
889 |
+
"learning_rate": 8.24e-05,
|
890 |
+
"loss": 0.6187,
|
891 |
+
"step": 1470
|
892 |
+
},
|
893 |
+
{
|
894 |
+
"epoch": 0.32,
|
895 |
+
"learning_rate": 8.16e-05,
|
896 |
+
"loss": 0.6509,
|
897 |
+
"step": 1480
|
898 |
+
},
|
899 |
+
{
|
900 |
+
"epoch": 0.32,
|
901 |
+
"learning_rate": 8.080000000000001e-05,
|
902 |
+
"loss": 0.5891,
|
903 |
+
"step": 1490
|
904 |
+
},
|
905 |
+
{
|
906 |
+
"epoch": 0.32,
|
907 |
+
"learning_rate": 8e-05,
|
908 |
+
"loss": 0.5935,
|
909 |
+
"step": 1500
|
910 |
+
},
|
911 |
+
{
|
912 |
+
"epoch": 0.32,
|
913 |
+
"learning_rate": 7.920000000000001e-05,
|
914 |
+
"loss": 0.5881,
|
915 |
+
"step": 1510
|
916 |
+
},
|
917 |
+
{
|
918 |
+
"epoch": 0.32,
|
919 |
+
"learning_rate": 7.840000000000001e-05,
|
920 |
+
"loss": 0.5997,
|
921 |
+
"step": 1520
|
922 |
+
},
|
923 |
+
{
|
924 |
+
"epoch": 0.33,
|
925 |
+
"learning_rate": 7.76e-05,
|
926 |
+
"loss": 0.6169,
|
927 |
+
"step": 1530
|
928 |
+
},
|
929 |
+
{
|
930 |
+
"epoch": 0.33,
|
931 |
+
"learning_rate": 7.680000000000001e-05,
|
932 |
+
"loss": 0.5744,
|
933 |
+
"step": 1540
|
934 |
+
},
|
935 |
+
{
|
936 |
+
"epoch": 0.33,
|
937 |
+
"learning_rate": 7.6e-05,
|
938 |
+
"loss": 0.6256,
|
939 |
+
"step": 1550
|
940 |
+
},
|
941 |
+
{
|
942 |
+
"epoch": 0.33,
|
943 |
+
"learning_rate": 7.52e-05,
|
944 |
+
"loss": 0.6241,
|
945 |
+
"step": 1560
|
946 |
+
},
|
947 |
+
{
|
948 |
+
"epoch": 0.33,
|
949 |
+
"learning_rate": 7.44e-05,
|
950 |
+
"loss": 0.5971,
|
951 |
+
"step": 1570
|
952 |
+
},
|
953 |
+
{
|
954 |
+
"epoch": 0.34,
|
955 |
+
"learning_rate": 7.36e-05,
|
956 |
+
"loss": 0.589,
|
957 |
+
"step": 1580
|
958 |
+
},
|
959 |
+
{
|
960 |
+
"epoch": 0.34,
|
961 |
+
"learning_rate": 7.280000000000001e-05,
|
962 |
+
"loss": 0.6514,
|
963 |
+
"step": 1590
|
964 |
+
},
|
965 |
+
{
|
966 |
+
"epoch": 0.34,
|
967 |
+
"learning_rate": 7.2e-05,
|
968 |
+
"loss": 0.6026,
|
969 |
+
"step": 1600
|
970 |
+
},
|
971 |
+
{
|
972 |
+
"epoch": 0.34,
|
973 |
+
"learning_rate": 7.12e-05,
|
974 |
+
"loss": 0.6159,
|
975 |
+
"step": 1610
|
976 |
+
},
|
977 |
+
{
|
978 |
+
"epoch": 0.35,
|
979 |
+
"learning_rate": 7.04e-05,
|
980 |
+
"loss": 0.597,
|
981 |
+
"step": 1620
|
982 |
+
},
|
983 |
+
{
|
984 |
+
"epoch": 0.35,
|
985 |
+
"learning_rate": 6.96e-05,
|
986 |
+
"loss": 0.6052,
|
987 |
+
"step": 1630
|
988 |
+
},
|
989 |
+
{
|
990 |
+
"epoch": 0.35,
|
991 |
+
"learning_rate": 6.879999999999999e-05,
|
992 |
+
"loss": 0.5637,
|
993 |
+
"step": 1640
|
994 |
+
},
|
995 |
+
{
|
996 |
+
"epoch": 0.35,
|
997 |
+
"learning_rate": 6.800000000000001e-05,
|
998 |
+
"loss": 0.6023,
|
999 |
+
"step": 1650
|
1000 |
+
},
|
1001 |
+
{
|
1002 |
+
"epoch": 0.35,
|
1003 |
+
"learning_rate": 6.720000000000001e-05,
|
1004 |
+
"loss": 0.6216,
|
1005 |
+
"step": 1660
|
1006 |
+
},
|
1007 |
+
{
|
1008 |
+
"epoch": 0.36,
|
1009 |
+
"learning_rate": 6.64e-05,
|
1010 |
+
"loss": 0.6475,
|
1011 |
+
"step": 1670
|
1012 |
+
},
|
1013 |
+
{
|
1014 |
+
"epoch": 0.36,
|
1015 |
+
"learning_rate": 6.560000000000001e-05,
|
1016 |
+
"loss": 0.6376,
|
1017 |
+
"step": 1680
|
1018 |
+
},
|
1019 |
+
{
|
1020 |
+
"epoch": 0.36,
|
1021 |
+
"learning_rate": 6.48e-05,
|
1022 |
+
"loss": 0.6584,
|
1023 |
+
"step": 1690
|
1024 |
+
},
|
1025 |
+
{
|
1026 |
+
"epoch": 0.36,
|
1027 |
+
"learning_rate": 6.400000000000001e-05,
|
1028 |
+
"loss": 0.6406,
|
1029 |
+
"step": 1700
|
1030 |
+
},
|
1031 |
+
{
|
1032 |
+
"epoch": 0.36,
|
1033 |
+
"learning_rate": 6.32e-05,
|
1034 |
+
"loss": 0.6147,
|
1035 |
+
"step": 1710
|
1036 |
+
},
|
1037 |
+
{
|
1038 |
+
"epoch": 0.37,
|
1039 |
+
"learning_rate": 6.24e-05,
|
1040 |
+
"loss": 0.5971,
|
1041 |
+
"step": 1720
|
1042 |
+
},
|
1043 |
+
{
|
1044 |
+
"epoch": 0.37,
|
1045 |
+
"learning_rate": 6.16e-05,
|
1046 |
+
"loss": 0.6368,
|
1047 |
+
"step": 1730
|
1048 |
+
},
|
1049 |
+
{
|
1050 |
+
"epoch": 0.37,
|
1051 |
+
"learning_rate": 6.08e-05,
|
1052 |
+
"loss": 0.5837,
|
1053 |
+
"step": 1740
|
1054 |
+
},
|
1055 |
+
{
|
1056 |
+
"epoch": 0.37,
|
1057 |
+
"learning_rate": 6e-05,
|
1058 |
+
"loss": 0.6607,
|
1059 |
+
"step": 1750
|
1060 |
+
},
|
1061 |
+
{
|
1062 |
+
"epoch": 0.38,
|
1063 |
+
"learning_rate": 5.92e-05,
|
1064 |
+
"loss": 0.5911,
|
1065 |
+
"step": 1760
|
1066 |
+
},
|
1067 |
+
{
|
1068 |
+
"epoch": 0.38,
|
1069 |
+
"learning_rate": 5.8399999999999997e-05,
|
1070 |
+
"loss": 0.5901,
|
1071 |
+
"step": 1770
|
1072 |
+
},
|
1073 |
+
{
|
1074 |
+
"epoch": 0.38,
|
1075 |
+
"learning_rate": 5.76e-05,
|
1076 |
+
"loss": 0.6633,
|
1077 |
+
"step": 1780
|
1078 |
+
},
|
1079 |
+
{
|
1080 |
+
"epoch": 0.38,
|
1081 |
+
"learning_rate": 5.68e-05,
|
1082 |
+
"loss": 0.6192,
|
1083 |
+
"step": 1790
|
1084 |
+
},
|
1085 |
+
{
|
1086 |
+
"epoch": 0.38,
|
1087 |
+
"learning_rate": 5.6000000000000006e-05,
|
1088 |
+
"loss": 0.6187,
|
1089 |
+
"step": 1800
|
1090 |
+
},
|
1091 |
+
{
|
1092 |
+
"epoch": 0.39,
|
1093 |
+
"learning_rate": 5.520000000000001e-05,
|
1094 |
+
"loss": 0.606,
|
1095 |
+
"step": 1810
|
1096 |
+
},
|
1097 |
+
{
|
1098 |
+
"epoch": 0.39,
|
1099 |
+
"learning_rate": 5.440000000000001e-05,
|
1100 |
+
"loss": 0.6253,
|
1101 |
+
"step": 1820
|
1102 |
+
},
|
1103 |
+
{
|
1104 |
+
"epoch": 0.39,
|
1105 |
+
"learning_rate": 5.360000000000001e-05,
|
1106 |
+
"loss": 0.5845,
|
1107 |
+
"step": 1830
|
1108 |
+
},
|
1109 |
+
{
|
1110 |
+
"epoch": 0.39,
|
1111 |
+
"learning_rate": 5.28e-05,
|
1112 |
+
"loss": 0.6186,
|
1113 |
+
"step": 1840
|
1114 |
+
},
|
1115 |
+
{
|
1116 |
+
"epoch": 0.39,
|
1117 |
+
"learning_rate": 5.2000000000000004e-05,
|
1118 |
+
"loss": 0.5859,
|
1119 |
+
"step": 1850
|
1120 |
+
},
|
1121 |
+
{
|
1122 |
+
"epoch": 0.4,
|
1123 |
+
"learning_rate": 5.1200000000000004e-05,
|
1124 |
+
"loss": 0.5917,
|
1125 |
+
"step": 1860
|
1126 |
+
},
|
1127 |
+
{
|
1128 |
+
"epoch": 0.4,
|
1129 |
+
"learning_rate": 5.0400000000000005e-05,
|
1130 |
+
"loss": 0.5898,
|
1131 |
+
"step": 1870
|
1132 |
+
},
|
1133 |
+
{
|
1134 |
+
"epoch": 0.4,
|
1135 |
+
"learning_rate": 4.96e-05,
|
1136 |
+
"loss": 0.59,
|
1137 |
+
"step": 1880
|
1138 |
+
},
|
1139 |
+
{
|
1140 |
+
"epoch": 0.4,
|
1141 |
+
"learning_rate": 4.88e-05,
|
1142 |
+
"loss": 0.6004,
|
1143 |
+
"step": 1890
|
1144 |
+
},
|
1145 |
+
{
|
1146 |
+
"epoch": 0.41,
|
1147 |
+
"learning_rate": 4.8e-05,
|
1148 |
+
"loss": 0.6516,
|
1149 |
+
"step": 1900
|
1150 |
+
},
|
1151 |
+
{
|
1152 |
+
"epoch": 0.41,
|
1153 |
+
"learning_rate": 4.72e-05,
|
1154 |
+
"loss": 0.6507,
|
1155 |
+
"step": 1910
|
1156 |
+
},
|
1157 |
+
{
|
1158 |
+
"epoch": 0.41,
|
1159 |
+
"learning_rate": 4.64e-05,
|
1160 |
+
"loss": 0.6317,
|
1161 |
+
"step": 1920
|
1162 |
+
},
|
1163 |
+
{
|
1164 |
+
"epoch": 0.41,
|
1165 |
+
"learning_rate": 4.5600000000000004e-05,
|
1166 |
+
"loss": 0.6357,
|
1167 |
+
"step": 1930
|
1168 |
+
},
|
1169 |
+
{
|
1170 |
+
"epoch": 0.41,
|
1171 |
+
"learning_rate": 4.4800000000000005e-05,
|
1172 |
+
"loss": 0.6425,
|
1173 |
+
"step": 1940
|
1174 |
+
},
|
1175 |
+
{
|
1176 |
+
"epoch": 0.42,
|
1177 |
+
"learning_rate": 4.4000000000000006e-05,
|
1178 |
+
"loss": 0.6285,
|
1179 |
+
"step": 1950
|
1180 |
+
},
|
1181 |
+
{
|
1182 |
+
"epoch": 0.42,
|
1183 |
+
"learning_rate": 4.32e-05,
|
1184 |
+
"loss": 0.614,
|
1185 |
+
"step": 1960
|
1186 |
+
},
|
1187 |
+
{
|
1188 |
+
"epoch": 0.42,
|
1189 |
+
"learning_rate": 4.24e-05,
|
1190 |
+
"loss": 0.592,
|
1191 |
+
"step": 1970
|
1192 |
+
},
|
1193 |
+
{
|
1194 |
+
"epoch": 0.42,
|
1195 |
+
"learning_rate": 4.16e-05,
|
1196 |
+
"loss": 0.6364,
|
1197 |
+
"step": 1980
|
1198 |
+
},
|
1199 |
+
{
|
1200 |
+
"epoch": 0.42,
|
1201 |
+
"learning_rate": 4.08e-05,
|
1202 |
+
"loss": 0.6041,
|
1203 |
+
"step": 1990
|
1204 |
+
},
|
1205 |
+
{
|
1206 |
+
"epoch": 0.43,
|
1207 |
+
"learning_rate": 4e-05,
|
1208 |
+
"loss": 0.659,
|
1209 |
+
"step": 2000
|
1210 |
+
},
|
1211 |
+
{
|
1212 |
+
"epoch": 0.43,
|
1213 |
+
"learning_rate": 3.9200000000000004e-05,
|
1214 |
+
"loss": 0.5695,
|
1215 |
+
"step": 2010
|
1216 |
+
},
|
1217 |
+
{
|
1218 |
+
"epoch": 0.43,
|
1219 |
+
"learning_rate": 3.8400000000000005e-05,
|
1220 |
+
"loss": 0.6314,
|
1221 |
+
"step": 2020
|
1222 |
+
},
|
1223 |
+
{
|
1224 |
+
"epoch": 0.43,
|
1225 |
+
"learning_rate": 3.76e-05,
|
1226 |
+
"loss": 0.6199,
|
1227 |
+
"step": 2030
|
1228 |
+
},
|
1229 |
+
{
|
1230 |
+
"epoch": 0.44,
|
1231 |
+
"learning_rate": 3.68e-05,
|
1232 |
+
"loss": 0.6186,
|
1233 |
+
"step": 2040
|
1234 |
+
},
|
1235 |
+
{
|
1236 |
+
"epoch": 0.44,
|
1237 |
+
"learning_rate": 3.6e-05,
|
1238 |
+
"loss": 0.608,
|
1239 |
+
"step": 2050
|
1240 |
+
},
|
1241 |
+
{
|
1242 |
+
"epoch": 0.44,
|
1243 |
+
"learning_rate": 3.52e-05,
|
1244 |
+
"loss": 0.5865,
|
1245 |
+
"step": 2060
|
1246 |
+
},
|
1247 |
+
{
|
1248 |
+
"epoch": 0.44,
|
1249 |
+
"learning_rate": 3.4399999999999996e-05,
|
1250 |
+
"loss": 0.5992,
|
1251 |
+
"step": 2070
|
1252 |
+
},
|
1253 |
+
{
|
1254 |
+
"epoch": 0.44,
|
1255 |
+
"learning_rate": 3.3600000000000004e-05,
|
1256 |
+
"loss": 0.5903,
|
1257 |
+
"step": 2080
|
1258 |
+
},
|
1259 |
+
{
|
1260 |
+
"epoch": 0.45,
|
1261 |
+
"learning_rate": 3.2800000000000004e-05,
|
1262 |
+
"loss": 0.6509,
|
1263 |
+
"step": 2090
|
1264 |
+
},
|
1265 |
+
{
|
1266 |
+
"epoch": 0.45,
|
1267 |
+
"learning_rate": 3.2000000000000005e-05,
|
1268 |
+
"loss": 0.6229,
|
1269 |
+
"step": 2100
|
1270 |
+
},
|
1271 |
+
{
|
1272 |
+
"epoch": 0.45,
|
1273 |
+
"learning_rate": 3.12e-05,
|
1274 |
+
"loss": 0.61,
|
1275 |
+
"step": 2110
|
1276 |
+
},
|
1277 |
+
{
|
1278 |
+
"epoch": 0.45,
|
1279 |
+
"learning_rate": 3.04e-05,
|
1280 |
+
"loss": 0.6462,
|
1281 |
+
"step": 2120
|
1282 |
+
},
|
1283 |
+
{
|
1284 |
+
"epoch": 0.45,
|
1285 |
+
"learning_rate": 2.96e-05,
|
1286 |
+
"loss": 0.6186,
|
1287 |
+
"step": 2130
|
1288 |
+
},
|
1289 |
+
{
|
1290 |
+
"epoch": 0.46,
|
1291 |
+
"learning_rate": 2.88e-05,
|
1292 |
+
"loss": 0.6381,
|
1293 |
+
"step": 2140
|
1294 |
+
},
|
1295 |
+
{
|
1296 |
+
"epoch": 0.46,
|
1297 |
+
"learning_rate": 2.8000000000000003e-05,
|
1298 |
+
"loss": 0.6204,
|
1299 |
+
"step": 2150
|
1300 |
+
},
|
1301 |
+
{
|
1302 |
+
"epoch": 0.46,
|
1303 |
+
"learning_rate": 2.7200000000000004e-05,
|
1304 |
+
"loss": 0.5765,
|
1305 |
+
"step": 2160
|
1306 |
+
},
|
1307 |
+
{
|
1308 |
+
"epoch": 0.46,
|
1309 |
+
"learning_rate": 2.64e-05,
|
1310 |
+
"loss": 0.5861,
|
1311 |
+
"step": 2170
|
1312 |
+
},
|
1313 |
+
{
|
1314 |
+
"epoch": 0.47,
|
1315 |
+
"learning_rate": 2.5600000000000002e-05,
|
1316 |
+
"loss": 0.6323,
|
1317 |
+
"step": 2180
|
1318 |
+
},
|
1319 |
+
{
|
1320 |
+
"epoch": 0.47,
|
1321 |
+
"learning_rate": 2.48e-05,
|
1322 |
+
"loss": 0.6369,
|
1323 |
+
"step": 2190
|
1324 |
+
},
|
1325 |
+
{
|
1326 |
+
"epoch": 0.47,
|
1327 |
+
"learning_rate": 2.4e-05,
|
1328 |
+
"loss": 0.5944,
|
1329 |
+
"step": 2200
|
1330 |
+
},
|
1331 |
+
{
|
1332 |
+
"epoch": 0.47,
|
1333 |
+
"learning_rate": 2.32e-05,
|
1334 |
+
"loss": 0.658,
|
1335 |
+
"step": 2210
|
1336 |
+
},
|
1337 |
+
{
|
1338 |
+
"epoch": 0.47,
|
1339 |
+
"learning_rate": 2.2400000000000002e-05,
|
1340 |
+
"loss": 0.6219,
|
1341 |
+
"step": 2220
|
1342 |
+
},
|
1343 |
+
{
|
1344 |
+
"epoch": 0.48,
|
1345 |
+
"learning_rate": 2.16e-05,
|
1346 |
+
"loss": 0.6403,
|
1347 |
+
"step": 2230
|
1348 |
+
},
|
1349 |
+
{
|
1350 |
+
"epoch": 0.48,
|
1351 |
+
"learning_rate": 2.08e-05,
|
1352 |
+
"loss": 0.6339,
|
1353 |
+
"step": 2240
|
1354 |
+
},
|
1355 |
+
{
|
1356 |
+
"epoch": 0.48,
|
1357 |
+
"learning_rate": 2e-05,
|
1358 |
+
"loss": 0.6315,
|
1359 |
+
"step": 2250
|
1360 |
+
},
|
1361 |
+
{
|
1362 |
+
"epoch": 0.48,
|
1363 |
+
"learning_rate": 1.9200000000000003e-05,
|
1364 |
+
"loss": 0.6331,
|
1365 |
+
"step": 2260
|
1366 |
+
},
|
1367 |
+
{
|
1368 |
+
"epoch": 0.48,
|
1369 |
+
"learning_rate": 1.84e-05,
|
1370 |
+
"loss": 0.6357,
|
1371 |
+
"step": 2270
|
1372 |
+
},
|
1373 |
+
{
|
1374 |
+
"epoch": 0.49,
|
1375 |
+
"learning_rate": 1.76e-05,
|
1376 |
+
"loss": 0.6152,
|
1377 |
+
"step": 2280
|
1378 |
+
},
|
1379 |
+
{
|
1380 |
+
"epoch": 0.49,
|
1381 |
+
"learning_rate": 1.6800000000000002e-05,
|
1382 |
+
"loss": 0.5773,
|
1383 |
+
"step": 2290
|
1384 |
+
},
|
1385 |
+
{
|
1386 |
+
"epoch": 0.49,
|
1387 |
+
"learning_rate": 1.6000000000000003e-05,
|
1388 |
+
"loss": 0.5948,
|
1389 |
+
"step": 2300
|
1390 |
+
},
|
1391 |
+
{
|
1392 |
+
"epoch": 0.49,
|
1393 |
+
"learning_rate": 1.52e-05,
|
1394 |
+
"loss": 0.5887,
|
1395 |
+
"step": 2310
|
1396 |
+
},
|
1397 |
+
{
|
1398 |
+
"epoch": 0.49,
|
1399 |
+
"learning_rate": 1.44e-05,
|
1400 |
+
"loss": 0.6076,
|
1401 |
+
"step": 2320
|
1402 |
+
},
|
1403 |
+
{
|
1404 |
+
"epoch": 0.5,
|
1405 |
+
"learning_rate": 1.3600000000000002e-05,
|
1406 |
+
"loss": 0.5983,
|
1407 |
+
"step": 2330
|
1408 |
+
},
|
1409 |
+
{
|
1410 |
+
"epoch": 0.5,
|
1411 |
+
"learning_rate": 1.2800000000000001e-05,
|
1412 |
+
"loss": 0.6453,
|
1413 |
+
"step": 2340
|
1414 |
+
},
|
1415 |
+
{
|
1416 |
+
"epoch": 0.5,
|
1417 |
+
"learning_rate": 1.2e-05,
|
1418 |
+
"loss": 0.6043,
|
1419 |
+
"step": 2350
|
1420 |
+
},
|
1421 |
+
{
|
1422 |
+
"epoch": 0.5,
|
1423 |
+
"learning_rate": 1.1200000000000001e-05,
|
1424 |
+
"loss": 0.623,
|
1425 |
+
"step": 2360
|
1426 |
+
},
|
1427 |
+
{
|
1428 |
+
"epoch": 0.51,
|
1429 |
+
"learning_rate": 1.04e-05,
|
1430 |
+
"loss": 0.5623,
|
1431 |
+
"step": 2370
|
1432 |
+
},
|
1433 |
+
{
|
1434 |
+
"epoch": 0.51,
|
1435 |
+
"learning_rate": 9.600000000000001e-06,
|
1436 |
+
"loss": 0.5943,
|
1437 |
+
"step": 2380
|
1438 |
+
},
|
1439 |
+
{
|
1440 |
+
"epoch": 0.51,
|
1441 |
+
"learning_rate": 8.8e-06,
|
1442 |
+
"loss": 0.6404,
|
1443 |
+
"step": 2390
|
1444 |
+
},
|
1445 |
+
{
|
1446 |
+
"epoch": 0.51,
|
1447 |
+
"learning_rate": 8.000000000000001e-06,
|
1448 |
+
"loss": 0.5758,
|
1449 |
+
"step": 2400
|
1450 |
+
},
|
1451 |
+
{
|
1452 |
+
"epoch": 0.51,
|
1453 |
+
"learning_rate": 7.2e-06,
|
1454 |
+
"loss": 0.6215,
|
1455 |
+
"step": 2410
|
1456 |
+
},
|
1457 |
+
{
|
1458 |
+
"epoch": 0.52,
|
1459 |
+
"learning_rate": 6.4000000000000006e-06,
|
1460 |
+
"loss": 0.5991,
|
1461 |
+
"step": 2420
|
1462 |
+
},
|
1463 |
+
{
|
1464 |
+
"epoch": 0.52,
|
1465 |
+
"learning_rate": 5.600000000000001e-06,
|
1466 |
+
"loss": 0.64,
|
1467 |
+
"step": 2430
|
1468 |
+
},
|
1469 |
+
{
|
1470 |
+
"epoch": 0.52,
|
1471 |
+
"learning_rate": 4.800000000000001e-06,
|
1472 |
+
"loss": 0.615,
|
1473 |
+
"step": 2440
|
1474 |
+
},
|
1475 |
+
{
|
1476 |
+
"epoch": 0.52,
|
1477 |
+
"learning_rate": 4.000000000000001e-06,
|
1478 |
+
"loss": 0.5636,
|
1479 |
+
"step": 2450
|
1480 |
+
},
|
1481 |
+
{
|
1482 |
+
"epoch": 0.52,
|
1483 |
+
"learning_rate": 3.2000000000000003e-06,
|
1484 |
+
"loss": 0.6417,
|
1485 |
+
"step": 2460
|
1486 |
+
},
|
1487 |
+
{
|
1488 |
+
"epoch": 0.53,
|
1489 |
+
"learning_rate": 2.4000000000000003e-06,
|
1490 |
+
"loss": 0.6422,
|
1491 |
+
"step": 2470
|
1492 |
+
},
|
1493 |
+
{
|
1494 |
+
"epoch": 0.53,
|
1495 |
+
"learning_rate": 1.6000000000000001e-06,
|
1496 |
+
"loss": 0.587,
|
1497 |
+
"step": 2480
|
1498 |
+
},
|
1499 |
+
{
|
1500 |
+
"epoch": 0.53,
|
1501 |
+
"learning_rate": 8.000000000000001e-07,
|
1502 |
+
"loss": 0.5812,
|
1503 |
+
"step": 2490
|
1504 |
+
},
|
1505 |
+
{
|
1506 |
+
"epoch": 0.53,
|
1507 |
+
"learning_rate": 0.0,
|
1508 |
+
"loss": 0.6159,
|
1509 |
+
"step": 2500
|
1510 |
+
}
|
1511 |
+
],
|
1512 |
+
"logging_steps": 10,
|
1513 |
+
"max_steps": 2500,
|
1514 |
+
"num_train_epochs": 1,
|
1515 |
+
"save_steps": 500,
|
1516 |
+
"total_flos": 8.7667815481344e+17,
|
1517 |
+
"trial_name": null,
|
1518 |
+
"trial_params": null
|
1519 |
+
}
|
training_args.bin
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:93d4fb5547917228a90f6e361d47232554d48e9f9890716c6e0e0b65a82f3a11
|
3 |
+
size 4027
|
vocab.json
ADDED
The diff for this file is too large to render.
See raw diff
|
|