Training in progress, step 117000, checkpoint
Browse files- checkpoint-117000/added_tokens.json +5 -0
- checkpoint-117000/config.json +46 -0
- checkpoint-117000/merges.txt +0 -0
- checkpoint-117000/optimizer.pt +3 -0
- checkpoint-117000/pytorch_model.bin +3 -0
- checkpoint-117000/rng_state.pth +3 -0
- checkpoint-117000/scheduler.pt +3 -0
- checkpoint-117000/special_tokens_map.json +6 -0
- checkpoint-117000/tokenizer_config.json +7 -0
- checkpoint-117000/trainer_state.json +1780 -0
- checkpoint-117000/training_args.bin +3 -0
- checkpoint-117000/vocab.json +0 -0
checkpoint-117000/added_tokens.json
ADDED
|
@@ -0,0 +1,5 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"<bos>": 40478,
|
| 3 |
+
"<eos>": 40479,
|
| 4 |
+
"<pad>": 40480
|
| 5 |
+
}
|
checkpoint-117000/config.json
ADDED
|
@@ -0,0 +1,46 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"_name_or_path": "openai-gpt",
|
| 3 |
+
"afn": "gelu",
|
| 4 |
+
"architectures": [
|
| 5 |
+
"OpenAIGPTForSequenceClassification"
|
| 6 |
+
],
|
| 7 |
+
"attn_pdrop": 0.1,
|
| 8 |
+
"embd_pdrop": 0.1,
|
| 9 |
+
"id2label": {
|
| 10 |
+
"0": "entailment",
|
| 11 |
+
"1": "neutral",
|
| 12 |
+
"2": "contradiction"
|
| 13 |
+
},
|
| 14 |
+
"initializer_range": 0.02,
|
| 15 |
+
"label2id": {
|
| 16 |
+
"contradiction": 2,
|
| 17 |
+
"entailment": 0,
|
| 18 |
+
"neutral": 1
|
| 19 |
+
},
|
| 20 |
+
"layer_norm_epsilon": 1e-05,
|
| 21 |
+
"model_type": "openai-gpt",
|
| 22 |
+
"n_ctx": 512,
|
| 23 |
+
"n_embd": 768,
|
| 24 |
+
"n_head": 12,
|
| 25 |
+
"n_layer": 6,
|
| 26 |
+
"n_positions": 512,
|
| 27 |
+
"n_special": 0,
|
| 28 |
+
"pad_token_id": 40480,
|
| 29 |
+
"predict_special_tokens": true,
|
| 30 |
+
"problem_type": "single_label_classification",
|
| 31 |
+
"resid_pdrop": 0.1,
|
| 32 |
+
"summary_activation": null,
|
| 33 |
+
"summary_first_dropout": 0.1,
|
| 34 |
+
"summary_proj_to_labels": true,
|
| 35 |
+
"summary_type": "last",
|
| 36 |
+
"summary_use_proj": true,
|
| 37 |
+
"task_specific_params": {
|
| 38 |
+
"text-generation": {
|
| 39 |
+
"do_sample": true,
|
| 40 |
+
"max_length": 50
|
| 41 |
+
}
|
| 42 |
+
},
|
| 43 |
+
"torch_dtype": "float32",
|
| 44 |
+
"transformers_version": "4.33.0.dev0",
|
| 45 |
+
"vocab_size": 40481
|
| 46 |
+
}
|
checkpoint-117000/merges.txt
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|
checkpoint-117000/optimizer.pt
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:85d1def202557a765b3f349148e75f4686221cce136c08a0fec408a97fad9b9b
|
| 3 |
+
size 592141381
|
checkpoint-117000/pytorch_model.bin
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:3fa48f0b9ff8978d832fb1f47e072f34e67d1c1906a05c31d8524d59f6c21d06
|
| 3 |
+
size 296072722
|
checkpoint-117000/rng_state.pth
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:0605e506e1fdbac3f40fbbc728fd6351f9996355eae2c69e3967779bc0e11095
|
| 3 |
+
size 14575
|
checkpoint-117000/scheduler.pt
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:d016ab93ba018aa83a957af831a397f9fb237871c8d4bcb571e0f13d4276fe26
|
| 3 |
+
size 627
|
checkpoint-117000/special_tokens_map.json
ADDED
|
@@ -0,0 +1,6 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"bos_token": "<bos>",
|
| 3 |
+
"eos_token": "<eos>",
|
| 4 |
+
"pad_token": "<pad>",
|
| 5 |
+
"unk_token": "<unk>"
|
| 6 |
+
}
|
checkpoint-117000/tokenizer_config.json
ADDED
|
@@ -0,0 +1,7 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"clean_up_tokenization_spaces": true,
|
| 3 |
+
"model_max_length": 512,
|
| 4 |
+
"padding_side": "left",
|
| 5 |
+
"tokenizer_class": "OpenAIGPTTokenizer",
|
| 6 |
+
"unk_token": "<unk>"
|
| 7 |
+
}
|
checkpoint-117000/trainer_state.json
ADDED
|
@@ -0,0 +1,1780 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"best_metric": 0.9584790468215942,
|
| 3 |
+
"best_model_checkpoint": "/kaggle/output/checkpoint-115000",
|
| 4 |
+
"epoch": 4.766949152542373,
|
| 5 |
+
"eval_steps": 1000,
|
| 6 |
+
"global_step": 117000,
|
| 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": 2.7777777777777777e-11,
|
| 14 |
+
"loss": 1.2358,
|
| 15 |
+
"step": 1
|
| 16 |
+
},
|
| 17 |
+
{
|
| 18 |
+
"epoch": 0.04,
|
| 19 |
+
"learning_rate": 2.7750000000000004e-08,
|
| 20 |
+
"loss": 1.1519,
|
| 21 |
+
"step": 1000
|
| 22 |
+
},
|
| 23 |
+
{
|
| 24 |
+
"epoch": 0.04,
|
| 25 |
+
"eval_accuracy": 0.3201596806387226,
|
| 26 |
+
"eval_loss": 1.1120171546936035,
|
| 27 |
+
"eval_runtime": 29.027,
|
| 28 |
+
"eval_samples_per_second": 172.598,
|
| 29 |
+
"eval_steps_per_second": 21.601,
|
| 30 |
+
"step": 1000
|
| 31 |
+
},
|
| 32 |
+
{
|
| 33 |
+
"epoch": 0.08,
|
| 34 |
+
"learning_rate": 5.5527777777777784e-08,
|
| 35 |
+
"loss": 1.128,
|
| 36 |
+
"step": 2000
|
| 37 |
+
},
|
| 38 |
+
{
|
| 39 |
+
"epoch": 0.08,
|
| 40 |
+
"eval_accuracy": 0.31796407185628744,
|
| 41 |
+
"eval_loss": 1.108055830001831,
|
| 42 |
+
"eval_runtime": 28.9944,
|
| 43 |
+
"eval_samples_per_second": 172.792,
|
| 44 |
+
"eval_steps_per_second": 21.625,
|
| 45 |
+
"step": 2000
|
| 46 |
+
},
|
| 47 |
+
{
|
| 48 |
+
"epoch": 0.12,
|
| 49 |
+
"learning_rate": 8.327777777777778e-08,
|
| 50 |
+
"loss": 1.122,
|
| 51 |
+
"step": 3000
|
| 52 |
+
},
|
| 53 |
+
{
|
| 54 |
+
"epoch": 0.12,
|
| 55 |
+
"eval_accuracy": 0.3345309381237525,
|
| 56 |
+
"eval_loss": 1.1074285507202148,
|
| 57 |
+
"eval_runtime": 28.9901,
|
| 58 |
+
"eval_samples_per_second": 172.818,
|
| 59 |
+
"eval_steps_per_second": 21.628,
|
| 60 |
+
"step": 3000
|
| 61 |
+
},
|
| 62 |
+
{
|
| 63 |
+
"epoch": 0.16,
|
| 64 |
+
"learning_rate": 1.1105555555555557e-07,
|
| 65 |
+
"loss": 1.1196,
|
| 66 |
+
"step": 4000
|
| 67 |
+
},
|
| 68 |
+
{
|
| 69 |
+
"epoch": 0.16,
|
| 70 |
+
"eval_accuracy": 0.3337325349301397,
|
| 71 |
+
"eval_loss": 1.1045424938201904,
|
| 72 |
+
"eval_runtime": 28.9791,
|
| 73 |
+
"eval_samples_per_second": 172.883,
|
| 74 |
+
"eval_steps_per_second": 21.636,
|
| 75 |
+
"step": 4000
|
| 76 |
+
},
|
| 77 |
+
{
|
| 78 |
+
"epoch": 0.2,
|
| 79 |
+
"learning_rate": 1.3880555555555558e-07,
|
| 80 |
+
"loss": 1.1169,
|
| 81 |
+
"step": 5000
|
| 82 |
+
},
|
| 83 |
+
{
|
| 84 |
+
"epoch": 0.2,
|
| 85 |
+
"eval_accuracy": 0.3397205588822355,
|
| 86 |
+
"eval_loss": 1.1033179759979248,
|
| 87 |
+
"eval_runtime": 29.0295,
|
| 88 |
+
"eval_samples_per_second": 172.583,
|
| 89 |
+
"eval_steps_per_second": 21.599,
|
| 90 |
+
"step": 5000
|
| 91 |
+
},
|
| 92 |
+
{
|
| 93 |
+
"epoch": 0.24,
|
| 94 |
+
"learning_rate": 1.6658333333333335e-07,
|
| 95 |
+
"loss": 1.118,
|
| 96 |
+
"step": 6000
|
| 97 |
+
},
|
| 98 |
+
{
|
| 99 |
+
"epoch": 0.24,
|
| 100 |
+
"eval_accuracy": 0.3401197604790419,
|
| 101 |
+
"eval_loss": 1.1030455827713013,
|
| 102 |
+
"eval_runtime": 28.9748,
|
| 103 |
+
"eval_samples_per_second": 172.909,
|
| 104 |
+
"eval_steps_per_second": 21.639,
|
| 105 |
+
"step": 6000
|
| 106 |
+
},
|
| 107 |
+
{
|
| 108 |
+
"epoch": 0.29,
|
| 109 |
+
"learning_rate": 1.9433333333333334e-07,
|
| 110 |
+
"loss": 1.1135,
|
| 111 |
+
"step": 7000
|
| 112 |
+
},
|
| 113 |
+
{
|
| 114 |
+
"epoch": 0.29,
|
| 115 |
+
"eval_accuracy": 0.35568862275449104,
|
| 116 |
+
"eval_loss": 1.0998502969741821,
|
| 117 |
+
"eval_runtime": 28.9964,
|
| 118 |
+
"eval_samples_per_second": 172.78,
|
| 119 |
+
"eval_steps_per_second": 21.623,
|
| 120 |
+
"step": 7000
|
| 121 |
+
},
|
| 122 |
+
{
|
| 123 |
+
"epoch": 0.33,
|
| 124 |
+
"learning_rate": 2.2211111111111114e-07,
|
| 125 |
+
"loss": 1.1136,
|
| 126 |
+
"step": 8000
|
| 127 |
+
},
|
| 128 |
+
{
|
| 129 |
+
"epoch": 0.33,
|
| 130 |
+
"eval_accuracy": 0.34510978043912177,
|
| 131 |
+
"eval_loss": 1.098555564880371,
|
| 132 |
+
"eval_runtime": 28.983,
|
| 133 |
+
"eval_samples_per_second": 172.86,
|
| 134 |
+
"eval_steps_per_second": 21.633,
|
| 135 |
+
"step": 8000
|
| 136 |
+
},
|
| 137 |
+
{
|
| 138 |
+
"epoch": 0.37,
|
| 139 |
+
"learning_rate": 2.4986111111111113e-07,
|
| 140 |
+
"loss": 1.11,
|
| 141 |
+
"step": 9000
|
| 142 |
+
},
|
| 143 |
+
{
|
| 144 |
+
"epoch": 0.37,
|
| 145 |
+
"eval_accuracy": 0.3411177644710579,
|
| 146 |
+
"eval_loss": 1.1035741567611694,
|
| 147 |
+
"eval_runtime": 28.9758,
|
| 148 |
+
"eval_samples_per_second": 172.903,
|
| 149 |
+
"eval_steps_per_second": 21.639,
|
| 150 |
+
"step": 9000
|
| 151 |
+
},
|
| 152 |
+
{
|
| 153 |
+
"epoch": 0.41,
|
| 154 |
+
"learning_rate": 2.776388888888889e-07,
|
| 155 |
+
"loss": 1.1076,
|
| 156 |
+
"step": 10000
|
| 157 |
+
},
|
| 158 |
+
{
|
| 159 |
+
"epoch": 0.41,
|
| 160 |
+
"eval_accuracy": 0.35788423153692617,
|
| 161 |
+
"eval_loss": 1.0970662832260132,
|
| 162 |
+
"eval_runtime": 29.0262,
|
| 163 |
+
"eval_samples_per_second": 172.603,
|
| 164 |
+
"eval_steps_per_second": 21.601,
|
| 165 |
+
"step": 10000
|
| 166 |
+
},
|
| 167 |
+
{
|
| 168 |
+
"epoch": 0.45,
|
| 169 |
+
"learning_rate": 3.0541666666666667e-07,
|
| 170 |
+
"loss": 1.1067,
|
| 171 |
+
"step": 11000
|
| 172 |
+
},
|
| 173 |
+
{
|
| 174 |
+
"epoch": 0.45,
|
| 175 |
+
"eval_accuracy": 0.37425149700598803,
|
| 176 |
+
"eval_loss": 1.094608187675476,
|
| 177 |
+
"eval_runtime": 28.8738,
|
| 178 |
+
"eval_samples_per_second": 173.513,
|
| 179 |
+
"eval_steps_per_second": 21.715,
|
| 180 |
+
"step": 11000
|
| 181 |
+
},
|
| 182 |
+
{
|
| 183 |
+
"epoch": 0.49,
|
| 184 |
+
"learning_rate": 3.3319444444444444e-07,
|
| 185 |
+
"loss": 1.1032,
|
| 186 |
+
"step": 12000
|
| 187 |
+
},
|
| 188 |
+
{
|
| 189 |
+
"epoch": 0.49,
|
| 190 |
+
"eval_accuracy": 0.37924151696606784,
|
| 191 |
+
"eval_loss": 1.092067837715149,
|
| 192 |
+
"eval_runtime": 28.9514,
|
| 193 |
+
"eval_samples_per_second": 173.049,
|
| 194 |
+
"eval_steps_per_second": 21.657,
|
| 195 |
+
"step": 12000
|
| 196 |
+
},
|
| 197 |
+
{
|
| 198 |
+
"epoch": 0.53,
|
| 199 |
+
"learning_rate": 3.6094444444444446e-07,
|
| 200 |
+
"loss": 1.1052,
|
| 201 |
+
"step": 13000
|
| 202 |
+
},
|
| 203 |
+
{
|
| 204 |
+
"epoch": 0.53,
|
| 205 |
+
"eval_accuracy": 0.3435129740518962,
|
| 206 |
+
"eval_loss": 1.0962508916854858,
|
| 207 |
+
"eval_runtime": 29.2203,
|
| 208 |
+
"eval_samples_per_second": 171.456,
|
| 209 |
+
"eval_steps_per_second": 21.458,
|
| 210 |
+
"step": 13000
|
| 211 |
+
},
|
| 212 |
+
{
|
| 213 |
+
"epoch": 0.57,
|
| 214 |
+
"learning_rate": 3.8872222222222223e-07,
|
| 215 |
+
"loss": 1.1015,
|
| 216 |
+
"step": 14000
|
| 217 |
+
},
|
| 218 |
+
{
|
| 219 |
+
"epoch": 0.57,
|
| 220 |
+
"eval_accuracy": 0.36806387225548903,
|
| 221 |
+
"eval_loss": 1.0941067934036255,
|
| 222 |
+
"eval_runtime": 29.2088,
|
| 223 |
+
"eval_samples_per_second": 171.524,
|
| 224 |
+
"eval_steps_per_second": 21.466,
|
| 225 |
+
"step": 14000
|
| 226 |
+
},
|
| 227 |
+
{
|
| 228 |
+
"epoch": 0.61,
|
| 229 |
+
"learning_rate": 4.1650000000000006e-07,
|
| 230 |
+
"loss": 1.0986,
|
| 231 |
+
"step": 15000
|
| 232 |
+
},
|
| 233 |
+
{
|
| 234 |
+
"epoch": 0.61,
|
| 235 |
+
"eval_accuracy": 0.3718562874251497,
|
| 236 |
+
"eval_loss": 1.0906143188476562,
|
| 237 |
+
"eval_runtime": 28.9463,
|
| 238 |
+
"eval_samples_per_second": 173.079,
|
| 239 |
+
"eval_steps_per_second": 21.661,
|
| 240 |
+
"step": 15000
|
| 241 |
+
},
|
| 242 |
+
{
|
| 243 |
+
"epoch": 0.65,
|
| 244 |
+
"learning_rate": 4.4425e-07,
|
| 245 |
+
"loss": 1.0984,
|
| 246 |
+
"step": 16000
|
| 247 |
+
},
|
| 248 |
+
{
|
| 249 |
+
"epoch": 0.65,
|
| 250 |
+
"eval_accuracy": 0.38183632734530937,
|
| 251 |
+
"eval_loss": 1.0862348079681396,
|
| 252 |
+
"eval_runtime": 28.9909,
|
| 253 |
+
"eval_samples_per_second": 172.813,
|
| 254 |
+
"eval_steps_per_second": 21.627,
|
| 255 |
+
"step": 16000
|
| 256 |
+
},
|
| 257 |
+
{
|
| 258 |
+
"epoch": 0.69,
|
| 259 |
+
"learning_rate": 4.7202777777777785e-07,
|
| 260 |
+
"loss": 1.0959,
|
| 261 |
+
"step": 17000
|
| 262 |
+
},
|
| 263 |
+
{
|
| 264 |
+
"epoch": 0.69,
|
| 265 |
+
"eval_accuracy": 0.40079840319361276,
|
| 266 |
+
"eval_loss": 1.0846956968307495,
|
| 267 |
+
"eval_runtime": 28.9606,
|
| 268 |
+
"eval_samples_per_second": 172.994,
|
| 269 |
+
"eval_steps_per_second": 21.65,
|
| 270 |
+
"step": 17000
|
| 271 |
+
},
|
| 272 |
+
{
|
| 273 |
+
"epoch": 0.73,
|
| 274 |
+
"learning_rate": 4.998055555555556e-07,
|
| 275 |
+
"loss": 1.0965,
|
| 276 |
+
"step": 18000
|
| 277 |
+
},
|
| 278 |
+
{
|
| 279 |
+
"epoch": 0.73,
|
| 280 |
+
"eval_accuracy": 0.4043912175648703,
|
| 281 |
+
"eval_loss": 1.086153507232666,
|
| 282 |
+
"eval_runtime": 28.8411,
|
| 283 |
+
"eval_samples_per_second": 173.71,
|
| 284 |
+
"eval_steps_per_second": 21.74,
|
| 285 |
+
"step": 18000
|
| 286 |
+
},
|
| 287 |
+
{
|
| 288 |
+
"epoch": 0.77,
|
| 289 |
+
"learning_rate": 5.275555555555556e-07,
|
| 290 |
+
"loss": 1.0966,
|
| 291 |
+
"step": 19000
|
| 292 |
+
},
|
| 293 |
+
{
|
| 294 |
+
"epoch": 0.77,
|
| 295 |
+
"eval_accuracy": 0.4041916167664671,
|
| 296 |
+
"eval_loss": 1.0824861526489258,
|
| 297 |
+
"eval_runtime": 28.9652,
|
| 298 |
+
"eval_samples_per_second": 172.966,
|
| 299 |
+
"eval_steps_per_second": 21.647,
|
| 300 |
+
"step": 19000
|
| 301 |
+
},
|
| 302 |
+
{
|
| 303 |
+
"epoch": 0.81,
|
| 304 |
+
"learning_rate": 5.553333333333334e-07,
|
| 305 |
+
"loss": 1.0943,
|
| 306 |
+
"step": 20000
|
| 307 |
+
},
|
| 308 |
+
{
|
| 309 |
+
"epoch": 0.81,
|
| 310 |
+
"eval_accuracy": 0.4103792415169661,
|
| 311 |
+
"eval_loss": 1.0817394256591797,
|
| 312 |
+
"eval_runtime": 28.9548,
|
| 313 |
+
"eval_samples_per_second": 173.028,
|
| 314 |
+
"eval_steps_per_second": 21.654,
|
| 315 |
+
"step": 20000
|
| 316 |
+
},
|
| 317 |
+
{
|
| 318 |
+
"epoch": 0.86,
|
| 319 |
+
"learning_rate": 5.830833333333334e-07,
|
| 320 |
+
"loss": 1.0898,
|
| 321 |
+
"step": 21000
|
| 322 |
+
},
|
| 323 |
+
{
|
| 324 |
+
"epoch": 0.86,
|
| 325 |
+
"eval_accuracy": 0.41357285429141716,
|
| 326 |
+
"eval_loss": 1.0764833688735962,
|
| 327 |
+
"eval_runtime": 28.9932,
|
| 328 |
+
"eval_samples_per_second": 172.799,
|
| 329 |
+
"eval_steps_per_second": 21.626,
|
| 330 |
+
"step": 21000
|
| 331 |
+
},
|
| 332 |
+
{
|
| 333 |
+
"epoch": 0.9,
|
| 334 |
+
"learning_rate": 6.108611111111111e-07,
|
| 335 |
+
"loss": 1.0877,
|
| 336 |
+
"step": 22000
|
| 337 |
+
},
|
| 338 |
+
{
|
| 339 |
+
"epoch": 0.9,
|
| 340 |
+
"eval_accuracy": 0.4293413173652695,
|
| 341 |
+
"eval_loss": 1.0701513290405273,
|
| 342 |
+
"eval_runtime": 28.9628,
|
| 343 |
+
"eval_samples_per_second": 172.98,
|
| 344 |
+
"eval_steps_per_second": 21.648,
|
| 345 |
+
"step": 22000
|
| 346 |
+
},
|
| 347 |
+
{
|
| 348 |
+
"epoch": 0.94,
|
| 349 |
+
"learning_rate": 6.386388888888889e-07,
|
| 350 |
+
"loss": 1.0826,
|
| 351 |
+
"step": 23000
|
| 352 |
+
},
|
| 353 |
+
{
|
| 354 |
+
"epoch": 0.94,
|
| 355 |
+
"eval_accuracy": 0.4285429141716567,
|
| 356 |
+
"eval_loss": 1.0636069774627686,
|
| 357 |
+
"eval_runtime": 28.9704,
|
| 358 |
+
"eval_samples_per_second": 172.935,
|
| 359 |
+
"eval_steps_per_second": 21.643,
|
| 360 |
+
"step": 23000
|
| 361 |
+
},
|
| 362 |
+
{
|
| 363 |
+
"epoch": 0.98,
|
| 364 |
+
"learning_rate": 6.664166666666667e-07,
|
| 365 |
+
"loss": 1.0781,
|
| 366 |
+
"step": 24000
|
| 367 |
+
},
|
| 368 |
+
{
|
| 369 |
+
"epoch": 0.98,
|
| 370 |
+
"eval_accuracy": 0.43213572854291415,
|
| 371 |
+
"eval_loss": 1.059762954711914,
|
| 372 |
+
"eval_runtime": 29.0265,
|
| 373 |
+
"eval_samples_per_second": 172.601,
|
| 374 |
+
"eval_steps_per_second": 21.601,
|
| 375 |
+
"step": 24000
|
| 376 |
+
},
|
| 377 |
+
{
|
| 378 |
+
"epoch": 1.02,
|
| 379 |
+
"learning_rate": 6.941666666666667e-07,
|
| 380 |
+
"loss": 1.0728,
|
| 381 |
+
"step": 25000
|
| 382 |
+
},
|
| 383 |
+
{
|
| 384 |
+
"epoch": 1.02,
|
| 385 |
+
"eval_accuracy": 0.4373253493013972,
|
| 386 |
+
"eval_loss": 1.056991696357727,
|
| 387 |
+
"eval_runtime": 28.9761,
|
| 388 |
+
"eval_samples_per_second": 172.901,
|
| 389 |
+
"eval_steps_per_second": 21.639,
|
| 390 |
+
"step": 25000
|
| 391 |
+
},
|
| 392 |
+
{
|
| 393 |
+
"epoch": 1.06,
|
| 394 |
+
"learning_rate": 7.219444444444444e-07,
|
| 395 |
+
"loss": 1.0719,
|
| 396 |
+
"step": 26000
|
| 397 |
+
},
|
| 398 |
+
{
|
| 399 |
+
"epoch": 1.06,
|
| 400 |
+
"eval_accuracy": 0.43193612774451096,
|
| 401 |
+
"eval_loss": 1.0573900938034058,
|
| 402 |
+
"eval_runtime": 28.9853,
|
| 403 |
+
"eval_samples_per_second": 172.846,
|
| 404 |
+
"eval_steps_per_second": 21.632,
|
| 405 |
+
"step": 26000
|
| 406 |
+
},
|
| 407 |
+
{
|
| 408 |
+
"epoch": 1.1,
|
| 409 |
+
"learning_rate": 7.496944444444444e-07,
|
| 410 |
+
"loss": 1.0683,
|
| 411 |
+
"step": 27000
|
| 412 |
+
},
|
| 413 |
+
{
|
| 414 |
+
"epoch": 1.1,
|
| 415 |
+
"eval_accuracy": 0.4305389221556886,
|
| 416 |
+
"eval_loss": 1.0567399263381958,
|
| 417 |
+
"eval_runtime": 28.9611,
|
| 418 |
+
"eval_samples_per_second": 172.991,
|
| 419 |
+
"eval_steps_per_second": 21.65,
|
| 420 |
+
"step": 27000
|
| 421 |
+
},
|
| 422 |
+
{
|
| 423 |
+
"epoch": 1.14,
|
| 424 |
+
"learning_rate": 7.774722222222223e-07,
|
| 425 |
+
"loss": 1.0669,
|
| 426 |
+
"step": 28000
|
| 427 |
+
},
|
| 428 |
+
{
|
| 429 |
+
"epoch": 1.14,
|
| 430 |
+
"eval_accuracy": 0.4297405189620758,
|
| 431 |
+
"eval_loss": 1.05367910861969,
|
| 432 |
+
"eval_runtime": 28.9913,
|
| 433 |
+
"eval_samples_per_second": 172.81,
|
| 434 |
+
"eval_steps_per_second": 21.627,
|
| 435 |
+
"step": 28000
|
| 436 |
+
},
|
| 437 |
+
{
|
| 438 |
+
"epoch": 1.18,
|
| 439 |
+
"learning_rate": 8.052222222222223e-07,
|
| 440 |
+
"loss": 1.0629,
|
| 441 |
+
"step": 29000
|
| 442 |
+
},
|
| 443 |
+
{
|
| 444 |
+
"epoch": 1.18,
|
| 445 |
+
"eval_accuracy": 0.4303393213572854,
|
| 446 |
+
"eval_loss": 1.0497413873672485,
|
| 447 |
+
"eval_runtime": 28.9605,
|
| 448 |
+
"eval_samples_per_second": 172.994,
|
| 449 |
+
"eval_steps_per_second": 21.65,
|
| 450 |
+
"step": 29000
|
| 451 |
+
},
|
| 452 |
+
{
|
| 453 |
+
"epoch": 1.22,
|
| 454 |
+
"learning_rate": 8.330000000000001e-07,
|
| 455 |
+
"loss": 1.0614,
|
| 456 |
+
"step": 30000
|
| 457 |
+
},
|
| 458 |
+
{
|
| 459 |
+
"epoch": 1.22,
|
| 460 |
+
"eval_accuracy": 0.43173652694610776,
|
| 461 |
+
"eval_loss": 1.046238899230957,
|
| 462 |
+
"eval_runtime": 28.9896,
|
| 463 |
+
"eval_samples_per_second": 172.821,
|
| 464 |
+
"eval_steps_per_second": 21.628,
|
| 465 |
+
"step": 30000
|
| 466 |
+
},
|
| 467 |
+
{
|
| 468 |
+
"epoch": 1.26,
|
| 469 |
+
"learning_rate": 8.607500000000001e-07,
|
| 470 |
+
"loss": 1.0669,
|
| 471 |
+
"step": 31000
|
| 472 |
+
},
|
| 473 |
+
{
|
| 474 |
+
"epoch": 1.26,
|
| 475 |
+
"eval_accuracy": 0.43233532934131735,
|
| 476 |
+
"eval_loss": 1.0541218519210815,
|
| 477 |
+
"eval_runtime": 28.9432,
|
| 478 |
+
"eval_samples_per_second": 173.098,
|
| 479 |
+
"eval_steps_per_second": 21.663,
|
| 480 |
+
"step": 31000
|
| 481 |
+
},
|
| 482 |
+
{
|
| 483 |
+
"epoch": 1.3,
|
| 484 |
+
"learning_rate": 8.885277777777779e-07,
|
| 485 |
+
"loss": 1.0612,
|
| 486 |
+
"step": 32000
|
| 487 |
+
},
|
| 488 |
+
{
|
| 489 |
+
"epoch": 1.3,
|
| 490 |
+
"eval_accuracy": 0.4285429141716567,
|
| 491 |
+
"eval_loss": 1.0527743101119995,
|
| 492 |
+
"eval_runtime": 29.0895,
|
| 493 |
+
"eval_samples_per_second": 172.227,
|
| 494 |
+
"eval_steps_per_second": 21.554,
|
| 495 |
+
"step": 32000
|
| 496 |
+
},
|
| 497 |
+
{
|
| 498 |
+
"epoch": 1.34,
|
| 499 |
+
"learning_rate": 9.163055555555556e-07,
|
| 500 |
+
"loss": 1.0622,
|
| 501 |
+
"step": 33000
|
| 502 |
+
},
|
| 503 |
+
{
|
| 504 |
+
"epoch": 1.34,
|
| 505 |
+
"eval_accuracy": 0.4339321357285429,
|
| 506 |
+
"eval_loss": 1.0462977886199951,
|
| 507 |
+
"eval_runtime": 29.1293,
|
| 508 |
+
"eval_samples_per_second": 171.992,
|
| 509 |
+
"eval_steps_per_second": 21.525,
|
| 510 |
+
"step": 33000
|
| 511 |
+
},
|
| 512 |
+
{
|
| 513 |
+
"epoch": 1.39,
|
| 514 |
+
"learning_rate": 9.440555555555557e-07,
|
| 515 |
+
"loss": 1.0542,
|
| 516 |
+
"step": 34000
|
| 517 |
+
},
|
| 518 |
+
{
|
| 519 |
+
"epoch": 1.39,
|
| 520 |
+
"eval_accuracy": 0.43313373253493015,
|
| 521 |
+
"eval_loss": 1.044585943222046,
|
| 522 |
+
"eval_runtime": 28.9734,
|
| 523 |
+
"eval_samples_per_second": 172.917,
|
| 524 |
+
"eval_steps_per_second": 21.641,
|
| 525 |
+
"step": 34000
|
| 526 |
+
},
|
| 527 |
+
{
|
| 528 |
+
"epoch": 1.43,
|
| 529 |
+
"learning_rate": 9.718333333333334e-07,
|
| 530 |
+
"loss": 1.0588,
|
| 531 |
+
"step": 35000
|
| 532 |
+
},
|
| 533 |
+
{
|
| 534 |
+
"epoch": 1.43,
|
| 535 |
+
"eval_accuracy": 0.4281437125748503,
|
| 536 |
+
"eval_loss": 1.0411622524261475,
|
| 537 |
+
"eval_runtime": 28.9957,
|
| 538 |
+
"eval_samples_per_second": 172.784,
|
| 539 |
+
"eval_steps_per_second": 21.624,
|
| 540 |
+
"step": 35000
|
| 541 |
+
},
|
| 542 |
+
{
|
| 543 |
+
"epoch": 1.47,
|
| 544 |
+
"learning_rate": 9.995833333333334e-07,
|
| 545 |
+
"loss": 1.0556,
|
| 546 |
+
"step": 36000
|
| 547 |
+
},
|
| 548 |
+
{
|
| 549 |
+
"epoch": 1.47,
|
| 550 |
+
"eval_accuracy": 0.44471057884231535,
|
| 551 |
+
"eval_loss": 1.037837266921997,
|
| 552 |
+
"eval_runtime": 29.0336,
|
| 553 |
+
"eval_samples_per_second": 172.559,
|
| 554 |
+
"eval_steps_per_second": 21.596,
|
| 555 |
+
"step": 36000
|
| 556 |
+
},
|
| 557 |
+
{
|
| 558 |
+
"epoch": 1.51,
|
| 559 |
+
"learning_rate": 1.0273611111111112e-06,
|
| 560 |
+
"loss": 1.0548,
|
| 561 |
+
"step": 37000
|
| 562 |
+
},
|
| 563 |
+
{
|
| 564 |
+
"epoch": 1.51,
|
| 565 |
+
"eval_accuracy": 0.4502994011976048,
|
| 566 |
+
"eval_loss": 1.035124659538269,
|
| 567 |
+
"eval_runtime": 29.0914,
|
| 568 |
+
"eval_samples_per_second": 172.216,
|
| 569 |
+
"eval_steps_per_second": 21.553,
|
| 570 |
+
"step": 37000
|
| 571 |
+
},
|
| 572 |
+
{
|
| 573 |
+
"epoch": 1.55,
|
| 574 |
+
"learning_rate": 1.055138888888889e-06,
|
| 575 |
+
"loss": 1.0566,
|
| 576 |
+
"step": 38000
|
| 577 |
+
},
|
| 578 |
+
{
|
| 579 |
+
"epoch": 1.55,
|
| 580 |
+
"eval_accuracy": 0.4497005988023952,
|
| 581 |
+
"eval_loss": 1.032871127128601,
|
| 582 |
+
"eval_runtime": 29.0304,
|
| 583 |
+
"eval_samples_per_second": 172.578,
|
| 584 |
+
"eval_steps_per_second": 21.598,
|
| 585 |
+
"step": 38000
|
| 586 |
+
},
|
| 587 |
+
{
|
| 588 |
+
"epoch": 1.59,
|
| 589 |
+
"learning_rate": 1.0829166666666667e-06,
|
| 590 |
+
"loss": 1.0513,
|
| 591 |
+
"step": 39000
|
| 592 |
+
},
|
| 593 |
+
{
|
| 594 |
+
"epoch": 1.59,
|
| 595 |
+
"eval_accuracy": 0.4477045908183633,
|
| 596 |
+
"eval_loss": 1.0365269184112549,
|
| 597 |
+
"eval_runtime": 29.0199,
|
| 598 |
+
"eval_samples_per_second": 172.64,
|
| 599 |
+
"eval_steps_per_second": 21.606,
|
| 600 |
+
"step": 39000
|
| 601 |
+
},
|
| 602 |
+
{
|
| 603 |
+
"epoch": 1.63,
|
| 604 |
+
"learning_rate": 1.1106666666666668e-06,
|
| 605 |
+
"loss": 1.0453,
|
| 606 |
+
"step": 40000
|
| 607 |
+
},
|
| 608 |
+
{
|
| 609 |
+
"epoch": 1.63,
|
| 610 |
+
"eval_accuracy": 0.45708582834331335,
|
| 611 |
+
"eval_loss": 1.0288387537002563,
|
| 612 |
+
"eval_runtime": 29.1526,
|
| 613 |
+
"eval_samples_per_second": 171.854,
|
| 614 |
+
"eval_steps_per_second": 21.508,
|
| 615 |
+
"step": 40000
|
| 616 |
+
},
|
| 617 |
+
{
|
| 618 |
+
"epoch": 1.67,
|
| 619 |
+
"learning_rate": 1.1384166666666669e-06,
|
| 620 |
+
"loss": 1.048,
|
| 621 |
+
"step": 41000
|
| 622 |
+
},
|
| 623 |
+
{
|
| 624 |
+
"epoch": 1.67,
|
| 625 |
+
"eval_accuracy": 0.44530938123752495,
|
| 626 |
+
"eval_loss": 1.0338605642318726,
|
| 627 |
+
"eval_runtime": 29.1871,
|
| 628 |
+
"eval_samples_per_second": 171.651,
|
| 629 |
+
"eval_steps_per_second": 21.482,
|
| 630 |
+
"step": 41000
|
| 631 |
+
},
|
| 632 |
+
{
|
| 633 |
+
"epoch": 1.71,
|
| 634 |
+
"learning_rate": 1.1661944444444447e-06,
|
| 635 |
+
"loss": 1.042,
|
| 636 |
+
"step": 42000
|
| 637 |
+
},
|
| 638 |
+
{
|
| 639 |
+
"epoch": 1.71,
|
| 640 |
+
"eval_accuracy": 0.45109780439121755,
|
| 641 |
+
"eval_loss": 1.0249321460723877,
|
| 642 |
+
"eval_runtime": 29.0275,
|
| 643 |
+
"eval_samples_per_second": 172.595,
|
| 644 |
+
"eval_steps_per_second": 21.6,
|
| 645 |
+
"step": 42000
|
| 646 |
+
},
|
| 647 |
+
{
|
| 648 |
+
"epoch": 1.75,
|
| 649 |
+
"learning_rate": 1.1939444444444445e-06,
|
| 650 |
+
"loss": 1.0437,
|
| 651 |
+
"step": 43000
|
| 652 |
+
},
|
| 653 |
+
{
|
| 654 |
+
"epoch": 1.75,
|
| 655 |
+
"eval_accuracy": 0.44510978043912175,
|
| 656 |
+
"eval_loss": 1.0416841506958008,
|
| 657 |
+
"eval_runtime": 29.0578,
|
| 658 |
+
"eval_samples_per_second": 172.415,
|
| 659 |
+
"eval_steps_per_second": 21.578,
|
| 660 |
+
"step": 43000
|
| 661 |
+
},
|
| 662 |
+
{
|
| 663 |
+
"epoch": 1.79,
|
| 664 |
+
"learning_rate": 1.2217222222222223e-06,
|
| 665 |
+
"loss": 1.0454,
|
| 666 |
+
"step": 44000
|
| 667 |
+
},
|
| 668 |
+
{
|
| 669 |
+
"epoch": 1.79,
|
| 670 |
+
"eval_accuracy": 0.4630738522954092,
|
| 671 |
+
"eval_loss": 1.020729422569275,
|
| 672 |
+
"eval_runtime": 29.0874,
|
| 673 |
+
"eval_samples_per_second": 172.24,
|
| 674 |
+
"eval_steps_per_second": 21.556,
|
| 675 |
+
"step": 44000
|
| 676 |
+
},
|
| 677 |
+
{
|
| 678 |
+
"epoch": 1.83,
|
| 679 |
+
"learning_rate": 1.2495e-06,
|
| 680 |
+
"loss": 1.0439,
|
| 681 |
+
"step": 45000
|
| 682 |
+
},
|
| 683 |
+
{
|
| 684 |
+
"epoch": 1.83,
|
| 685 |
+
"eval_accuracy": 0.4746506986027944,
|
| 686 |
+
"eval_loss": 1.0175539255142212,
|
| 687 |
+
"eval_runtime": 29.093,
|
| 688 |
+
"eval_samples_per_second": 172.206,
|
| 689 |
+
"eval_steps_per_second": 21.552,
|
| 690 |
+
"step": 45000
|
| 691 |
+
},
|
| 692 |
+
{
|
| 693 |
+
"epoch": 1.87,
|
| 694 |
+
"learning_rate": 1.2772500000000001e-06,
|
| 695 |
+
"loss": 1.0412,
|
| 696 |
+
"step": 46000
|
| 697 |
+
},
|
| 698 |
+
{
|
| 699 |
+
"epoch": 1.87,
|
| 700 |
+
"eval_accuracy": 0.4626746506986028,
|
| 701 |
+
"eval_loss": 1.0218861103057861,
|
| 702 |
+
"eval_runtime": 28.9933,
|
| 703 |
+
"eval_samples_per_second": 172.798,
|
| 704 |
+
"eval_steps_per_second": 21.626,
|
| 705 |
+
"step": 46000
|
| 706 |
+
},
|
| 707 |
+
{
|
| 708 |
+
"epoch": 1.91,
|
| 709 |
+
"learning_rate": 1.3050277777777777e-06,
|
| 710 |
+
"loss": 1.0362,
|
| 711 |
+
"step": 47000
|
| 712 |
+
},
|
| 713 |
+
{
|
| 714 |
+
"epoch": 1.91,
|
| 715 |
+
"eval_accuracy": 0.47944111776447107,
|
| 716 |
+
"eval_loss": 1.0074430704116821,
|
| 717 |
+
"eval_runtime": 29.1004,
|
| 718 |
+
"eval_samples_per_second": 172.163,
|
| 719 |
+
"eval_steps_per_second": 21.546,
|
| 720 |
+
"step": 47000
|
| 721 |
+
},
|
| 722 |
+
{
|
| 723 |
+
"epoch": 1.96,
|
| 724 |
+
"learning_rate": 1.3328055555555555e-06,
|
| 725 |
+
"loss": 1.0391,
|
| 726 |
+
"step": 48000
|
| 727 |
+
},
|
| 728 |
+
{
|
| 729 |
+
"epoch": 1.96,
|
| 730 |
+
"eval_accuracy": 0.4614770459081836,
|
| 731 |
+
"eval_loss": 1.0313252210617065,
|
| 732 |
+
"eval_runtime": 29.0173,
|
| 733 |
+
"eval_samples_per_second": 172.655,
|
| 734 |
+
"eval_steps_per_second": 21.608,
|
| 735 |
+
"step": 48000
|
| 736 |
+
},
|
| 737 |
+
{
|
| 738 |
+
"epoch": 2.0,
|
| 739 |
+
"learning_rate": 1.3605555555555555e-06,
|
| 740 |
+
"loss": 1.0331,
|
| 741 |
+
"step": 49000
|
| 742 |
+
},
|
| 743 |
+
{
|
| 744 |
+
"epoch": 2.0,
|
| 745 |
+
"eval_accuracy": 0.48303393213572854,
|
| 746 |
+
"eval_loss": 1.0042223930358887,
|
| 747 |
+
"eval_runtime": 29.0485,
|
| 748 |
+
"eval_samples_per_second": 172.47,
|
| 749 |
+
"eval_steps_per_second": 21.585,
|
| 750 |
+
"step": 49000
|
| 751 |
+
},
|
| 752 |
+
{
|
| 753 |
+
"epoch": 2.04,
|
| 754 |
+
"learning_rate": 1.3883333333333333e-06,
|
| 755 |
+
"loss": 1.0328,
|
| 756 |
+
"step": 50000
|
| 757 |
+
},
|
| 758 |
+
{
|
| 759 |
+
"epoch": 2.04,
|
| 760 |
+
"eval_accuracy": 0.4810379241516966,
|
| 761 |
+
"eval_loss": 1.0079505443572998,
|
| 762 |
+
"eval_runtime": 29.4084,
|
| 763 |
+
"eval_samples_per_second": 170.359,
|
| 764 |
+
"eval_steps_per_second": 21.32,
|
| 765 |
+
"step": 50000
|
| 766 |
+
},
|
| 767 |
+
{
|
| 768 |
+
"epoch": 2.08,
|
| 769 |
+
"learning_rate": 1.4160833333333334e-06,
|
| 770 |
+
"loss": 1.0325,
|
| 771 |
+
"step": 51000
|
| 772 |
+
},
|
| 773 |
+
{
|
| 774 |
+
"epoch": 2.08,
|
| 775 |
+
"eval_accuracy": 0.48403193612774453,
|
| 776 |
+
"eval_loss": 1.0023722648620605,
|
| 777 |
+
"eval_runtime": 29.4825,
|
| 778 |
+
"eval_samples_per_second": 169.932,
|
| 779 |
+
"eval_steps_per_second": 21.267,
|
| 780 |
+
"step": 51000
|
| 781 |
+
},
|
| 782 |
+
{
|
| 783 |
+
"epoch": 2.12,
|
| 784 |
+
"learning_rate": 1.4438611111111112e-06,
|
| 785 |
+
"loss": 1.029,
|
| 786 |
+
"step": 52000
|
| 787 |
+
},
|
| 788 |
+
{
|
| 789 |
+
"epoch": 2.12,
|
| 790 |
+
"eval_accuracy": 0.4786427145708583,
|
| 791 |
+
"eval_loss": 1.015783667564392,
|
| 792 |
+
"eval_runtime": 29.182,
|
| 793 |
+
"eval_samples_per_second": 171.681,
|
| 794 |
+
"eval_steps_per_second": 21.486,
|
| 795 |
+
"step": 52000
|
| 796 |
+
},
|
| 797 |
+
{
|
| 798 |
+
"epoch": 2.16,
|
| 799 |
+
"learning_rate": 1.471638888888889e-06,
|
| 800 |
+
"loss": 1.0317,
|
| 801 |
+
"step": 53000
|
| 802 |
+
},
|
| 803 |
+
{
|
| 804 |
+
"epoch": 2.16,
|
| 805 |
+
"eval_accuracy": 0.49001996007984033,
|
| 806 |
+
"eval_loss": 0.9999898672103882,
|
| 807 |
+
"eval_runtime": 29.4591,
|
| 808 |
+
"eval_samples_per_second": 170.067,
|
| 809 |
+
"eval_steps_per_second": 21.284,
|
| 810 |
+
"step": 53000
|
| 811 |
+
},
|
| 812 |
+
{
|
| 813 |
+
"epoch": 2.2,
|
| 814 |
+
"learning_rate": 1.4993888888888888e-06,
|
| 815 |
+
"loss": 1.0319,
|
| 816 |
+
"step": 54000
|
| 817 |
+
},
|
| 818 |
+
{
|
| 819 |
+
"epoch": 2.2,
|
| 820 |
+
"eval_accuracy": 0.48882235528942114,
|
| 821 |
+
"eval_loss": 1.0013622045516968,
|
| 822 |
+
"eval_runtime": 29.3854,
|
| 823 |
+
"eval_samples_per_second": 170.493,
|
| 824 |
+
"eval_steps_per_second": 21.337,
|
| 825 |
+
"step": 54000
|
| 826 |
+
},
|
| 827 |
+
{
|
| 828 |
+
"epoch": 2.24,
|
| 829 |
+
"learning_rate": 1.5271666666666668e-06,
|
| 830 |
+
"loss": 1.0269,
|
| 831 |
+
"step": 55000
|
| 832 |
+
},
|
| 833 |
+
{
|
| 834 |
+
"epoch": 2.24,
|
| 835 |
+
"eval_accuracy": 0.4878243512974052,
|
| 836 |
+
"eval_loss": 0.9981361627578735,
|
| 837 |
+
"eval_runtime": 29.0692,
|
| 838 |
+
"eval_samples_per_second": 172.347,
|
| 839 |
+
"eval_steps_per_second": 21.569,
|
| 840 |
+
"step": 55000
|
| 841 |
+
},
|
| 842 |
+
{
|
| 843 |
+
"epoch": 2.28,
|
| 844 |
+
"learning_rate": 1.5549166666666666e-06,
|
| 845 |
+
"loss": 1.0236,
|
| 846 |
+
"step": 56000
|
| 847 |
+
},
|
| 848 |
+
{
|
| 849 |
+
"epoch": 2.28,
|
| 850 |
+
"eval_accuracy": 0.474251497005988,
|
| 851 |
+
"eval_loss": 1.0223956108093262,
|
| 852 |
+
"eval_runtime": 29.0989,
|
| 853 |
+
"eval_samples_per_second": 172.172,
|
| 854 |
+
"eval_steps_per_second": 21.547,
|
| 855 |
+
"step": 56000
|
| 856 |
+
},
|
| 857 |
+
{
|
| 858 |
+
"epoch": 2.32,
|
| 859 |
+
"learning_rate": 1.5826944444444446e-06,
|
| 860 |
+
"loss": 1.022,
|
| 861 |
+
"step": 57000
|
| 862 |
+
},
|
| 863 |
+
{
|
| 864 |
+
"epoch": 2.32,
|
| 865 |
+
"eval_accuracy": 0.48962075848303394,
|
| 866 |
+
"eval_loss": 0.999485969543457,
|
| 867 |
+
"eval_runtime": 29.0951,
|
| 868 |
+
"eval_samples_per_second": 172.194,
|
| 869 |
+
"eval_steps_per_second": 21.55,
|
| 870 |
+
"step": 57000
|
| 871 |
+
},
|
| 872 |
+
{
|
| 873 |
+
"epoch": 2.36,
|
| 874 |
+
"learning_rate": 1.6104444444444447e-06,
|
| 875 |
+
"loss": 1.0259,
|
| 876 |
+
"step": 58000
|
| 877 |
+
},
|
| 878 |
+
{
|
| 879 |
+
"epoch": 2.36,
|
| 880 |
+
"eval_accuracy": 0.49161676646706587,
|
| 881 |
+
"eval_loss": 1.00543212890625,
|
| 882 |
+
"eval_runtime": 29.0186,
|
| 883 |
+
"eval_samples_per_second": 172.648,
|
| 884 |
+
"eval_steps_per_second": 21.607,
|
| 885 |
+
"step": 58000
|
| 886 |
+
},
|
| 887 |
+
{
|
| 888 |
+
"epoch": 2.4,
|
| 889 |
+
"learning_rate": 1.6382222222222222e-06,
|
| 890 |
+
"loss": 1.0205,
|
| 891 |
+
"step": 59000
|
| 892 |
+
},
|
| 893 |
+
{
|
| 894 |
+
"epoch": 2.4,
|
| 895 |
+
"eval_accuracy": 0.49620758483033933,
|
| 896 |
+
"eval_loss": 0.9923607110977173,
|
| 897 |
+
"eval_runtime": 29.1145,
|
| 898 |
+
"eval_samples_per_second": 172.079,
|
| 899 |
+
"eval_steps_per_second": 21.536,
|
| 900 |
+
"step": 59000
|
| 901 |
+
},
|
| 902 |
+
{
|
| 903 |
+
"epoch": 2.44,
|
| 904 |
+
"learning_rate": 1.6659722222222223e-06,
|
| 905 |
+
"loss": 1.0272,
|
| 906 |
+
"step": 60000
|
| 907 |
+
},
|
| 908 |
+
{
|
| 909 |
+
"epoch": 2.44,
|
| 910 |
+
"eval_accuracy": 0.49620758483033933,
|
| 911 |
+
"eval_loss": 0.9994486570358276,
|
| 912 |
+
"eval_runtime": 29.0247,
|
| 913 |
+
"eval_samples_per_second": 172.612,
|
| 914 |
+
"eval_steps_per_second": 21.602,
|
| 915 |
+
"step": 60000
|
| 916 |
+
},
|
| 917 |
+
{
|
| 918 |
+
"epoch": 2.49,
|
| 919 |
+
"learning_rate": 1.6937500000000003e-06,
|
| 920 |
+
"loss": 1.023,
|
| 921 |
+
"step": 61000
|
| 922 |
+
},
|
| 923 |
+
{
|
| 924 |
+
"epoch": 2.49,
|
| 925 |
+
"eval_accuracy": 0.49500998003992014,
|
| 926 |
+
"eval_loss": 0.9992738366127014,
|
| 927 |
+
"eval_runtime": 29.024,
|
| 928 |
+
"eval_samples_per_second": 172.616,
|
| 929 |
+
"eval_steps_per_second": 21.603,
|
| 930 |
+
"step": 61000
|
| 931 |
+
},
|
| 932 |
+
{
|
| 933 |
+
"epoch": 2.53,
|
| 934 |
+
"learning_rate": 1.7215000000000002e-06,
|
| 935 |
+
"loss": 1.0257,
|
| 936 |
+
"step": 62000
|
| 937 |
+
},
|
| 938 |
+
{
|
| 939 |
+
"epoch": 2.53,
|
| 940 |
+
"eval_accuracy": 0.481437125748503,
|
| 941 |
+
"eval_loss": 1.0081721544265747,
|
| 942 |
+
"eval_runtime": 29.125,
|
| 943 |
+
"eval_samples_per_second": 172.017,
|
| 944 |
+
"eval_steps_per_second": 21.528,
|
| 945 |
+
"step": 62000
|
| 946 |
+
},
|
| 947 |
+
{
|
| 948 |
+
"epoch": 2.57,
|
| 949 |
+
"learning_rate": 1.7492777777777777e-06,
|
| 950 |
+
"loss": 1.0233,
|
| 951 |
+
"step": 63000
|
| 952 |
+
},
|
| 953 |
+
{
|
| 954 |
+
"epoch": 2.57,
|
| 955 |
+
"eval_accuracy": 0.49660678642714573,
|
| 956 |
+
"eval_loss": 0.9943819642066956,
|
| 957 |
+
"eval_runtime": 29.3033,
|
| 958 |
+
"eval_samples_per_second": 170.97,
|
| 959 |
+
"eval_steps_per_second": 21.397,
|
| 960 |
+
"step": 63000
|
| 961 |
+
},
|
| 962 |
+
{
|
| 963 |
+
"epoch": 2.61,
|
| 964 |
+
"learning_rate": 1.7770277777777778e-06,
|
| 965 |
+
"loss": 1.0207,
|
| 966 |
+
"step": 64000
|
| 967 |
+
},
|
| 968 |
+
{
|
| 969 |
+
"epoch": 2.61,
|
| 970 |
+
"eval_accuracy": 0.500998003992016,
|
| 971 |
+
"eval_loss": 0.9942530989646912,
|
| 972 |
+
"eval_runtime": 29.3586,
|
| 973 |
+
"eval_samples_per_second": 170.648,
|
| 974 |
+
"eval_steps_per_second": 21.357,
|
| 975 |
+
"step": 64000
|
| 976 |
+
},
|
| 977 |
+
{
|
| 978 |
+
"epoch": 2.65,
|
| 979 |
+
"learning_rate": 1.8048055555555558e-06,
|
| 980 |
+
"loss": 1.0212,
|
| 981 |
+
"step": 65000
|
| 982 |
+
},
|
| 983 |
+
{
|
| 984 |
+
"epoch": 2.65,
|
| 985 |
+
"eval_accuracy": 0.5,
|
| 986 |
+
"eval_loss": 0.996075451374054,
|
| 987 |
+
"eval_runtime": 29.5902,
|
| 988 |
+
"eval_samples_per_second": 169.313,
|
| 989 |
+
"eval_steps_per_second": 21.189,
|
| 990 |
+
"step": 65000
|
| 991 |
+
},
|
| 992 |
+
{
|
| 993 |
+
"epoch": 2.69,
|
| 994 |
+
"learning_rate": 1.8325833333333333e-06,
|
| 995 |
+
"loss": 1.0259,
|
| 996 |
+
"step": 66000
|
| 997 |
+
},
|
| 998 |
+
{
|
| 999 |
+
"epoch": 2.69,
|
| 1000 |
+
"eval_accuracy": 0.5043912175648703,
|
| 1001 |
+
"eval_loss": 0.991050124168396,
|
| 1002 |
+
"eval_runtime": 29.5206,
|
| 1003 |
+
"eval_samples_per_second": 169.712,
|
| 1004 |
+
"eval_steps_per_second": 21.239,
|
| 1005 |
+
"step": 66000
|
| 1006 |
+
},
|
| 1007 |
+
{
|
| 1008 |
+
"epoch": 2.73,
|
| 1009 |
+
"learning_rate": 1.8603333333333334e-06,
|
| 1010 |
+
"loss": 1.0199,
|
| 1011 |
+
"step": 67000
|
| 1012 |
+
},
|
| 1013 |
+
{
|
| 1014 |
+
"epoch": 2.73,
|
| 1015 |
+
"eval_accuracy": 0.49181636726546907,
|
| 1016 |
+
"eval_loss": 0.9968613386154175,
|
| 1017 |
+
"eval_runtime": 29.1614,
|
| 1018 |
+
"eval_samples_per_second": 171.802,
|
| 1019 |
+
"eval_steps_per_second": 21.501,
|
| 1020 |
+
"step": 67000
|
| 1021 |
+
},
|
| 1022 |
+
{
|
| 1023 |
+
"epoch": 2.77,
|
| 1024 |
+
"learning_rate": 1.8881111111111114e-06,
|
| 1025 |
+
"loss": 1.0215,
|
| 1026 |
+
"step": 68000
|
| 1027 |
+
},
|
| 1028 |
+
{
|
| 1029 |
+
"epoch": 2.77,
|
| 1030 |
+
"eval_accuracy": 0.5023952095808383,
|
| 1031 |
+
"eval_loss": 0.9903049468994141,
|
| 1032 |
+
"eval_runtime": 29.1422,
|
| 1033 |
+
"eval_samples_per_second": 171.916,
|
| 1034 |
+
"eval_steps_per_second": 21.515,
|
| 1035 |
+
"step": 68000
|
| 1036 |
+
},
|
| 1037 |
+
{
|
| 1038 |
+
"epoch": 2.81,
|
| 1039 |
+
"learning_rate": 1.9158611111111115e-06,
|
| 1040 |
+
"loss": 1.0189,
|
| 1041 |
+
"step": 69000
|
| 1042 |
+
},
|
| 1043 |
+
{
|
| 1044 |
+
"epoch": 2.81,
|
| 1045 |
+
"eval_accuracy": 0.5083832335329341,
|
| 1046 |
+
"eval_loss": 0.9923155903816223,
|
| 1047 |
+
"eval_runtime": 29.1108,
|
| 1048 |
+
"eval_samples_per_second": 172.101,
|
| 1049 |
+
"eval_steps_per_second": 21.538,
|
| 1050 |
+
"step": 69000
|
| 1051 |
+
},
|
| 1052 |
+
{
|
| 1053 |
+
"epoch": 2.85,
|
| 1054 |
+
"learning_rate": 1.943638888888889e-06,
|
| 1055 |
+
"loss": 1.02,
|
| 1056 |
+
"step": 70000
|
| 1057 |
+
},
|
| 1058 |
+
{
|
| 1059 |
+
"epoch": 2.85,
|
| 1060 |
+
"eval_accuracy": 0.4992015968063872,
|
| 1061 |
+
"eval_loss": 0.99754798412323,
|
| 1062 |
+
"eval_runtime": 29.0673,
|
| 1063 |
+
"eval_samples_per_second": 172.359,
|
| 1064 |
+
"eval_steps_per_second": 21.571,
|
| 1065 |
+
"step": 70000
|
| 1066 |
+
},
|
| 1067 |
+
{
|
| 1068 |
+
"epoch": 2.89,
|
| 1069 |
+
"learning_rate": 1.971388888888889e-06,
|
| 1070 |
+
"loss": 1.0124,
|
| 1071 |
+
"step": 71000
|
| 1072 |
+
},
|
| 1073 |
+
{
|
| 1074 |
+
"epoch": 2.89,
|
| 1075 |
+
"eval_accuracy": 0.5003992015968064,
|
| 1076 |
+
"eval_loss": 0.9986121654510498,
|
| 1077 |
+
"eval_runtime": 29.1291,
|
| 1078 |
+
"eval_samples_per_second": 171.993,
|
| 1079 |
+
"eval_steps_per_second": 21.525,
|
| 1080 |
+
"step": 71000
|
| 1081 |
+
},
|
| 1082 |
+
{
|
| 1083 |
+
"epoch": 2.93,
|
| 1084 |
+
"learning_rate": 1.999166666666667e-06,
|
| 1085 |
+
"loss": 1.0212,
|
| 1086 |
+
"step": 72000
|
| 1087 |
+
},
|
| 1088 |
+
{
|
| 1089 |
+
"epoch": 2.93,
|
| 1090 |
+
"eval_accuracy": 0.48862275449101794,
|
| 1091 |
+
"eval_loss": 1.0082526206970215,
|
| 1092 |
+
"eval_runtime": 29.139,
|
| 1093 |
+
"eval_samples_per_second": 171.935,
|
| 1094 |
+
"eval_steps_per_second": 21.518,
|
| 1095 |
+
"step": 72000
|
| 1096 |
+
},
|
| 1097 |
+
{
|
| 1098 |
+
"epoch": 2.97,
|
| 1099 |
+
"learning_rate": 2.0269166666666667e-06,
|
| 1100 |
+
"loss": 1.019,
|
| 1101 |
+
"step": 73000
|
| 1102 |
+
},
|
| 1103 |
+
{
|
| 1104 |
+
"epoch": 2.97,
|
| 1105 |
+
"eval_accuracy": 0.5025948103792415,
|
| 1106 |
+
"eval_loss": 0.9981805682182312,
|
| 1107 |
+
"eval_runtime": 29.4021,
|
| 1108 |
+
"eval_samples_per_second": 170.396,
|
| 1109 |
+
"eval_steps_per_second": 21.325,
|
| 1110 |
+
"step": 73000
|
| 1111 |
+
},
|
| 1112 |
+
{
|
| 1113 |
+
"epoch": 3.01,
|
| 1114 |
+
"learning_rate": 2.0546944444444447e-06,
|
| 1115 |
+
"loss": 1.0205,
|
| 1116 |
+
"step": 74000
|
| 1117 |
+
},
|
| 1118 |
+
{
|
| 1119 |
+
"epoch": 3.01,
|
| 1120 |
+
"eval_accuracy": 0.49800399201596807,
|
| 1121 |
+
"eval_loss": 0.9870504140853882,
|
| 1122 |
+
"eval_runtime": 29.1143,
|
| 1123 |
+
"eval_samples_per_second": 172.081,
|
| 1124 |
+
"eval_steps_per_second": 21.536,
|
| 1125 |
+
"step": 74000
|
| 1126 |
+
},
|
| 1127 |
+
{
|
| 1128 |
+
"epoch": 3.06,
|
| 1129 |
+
"learning_rate": 2.0824444444444446e-06,
|
| 1130 |
+
"loss": 1.0085,
|
| 1131 |
+
"step": 75000
|
| 1132 |
+
},
|
| 1133 |
+
{
|
| 1134 |
+
"epoch": 3.06,
|
| 1135 |
+
"eval_accuracy": 0.5017964071856288,
|
| 1136 |
+
"eval_loss": 0.9926252961158752,
|
| 1137 |
+
"eval_runtime": 29.2368,
|
| 1138 |
+
"eval_samples_per_second": 171.359,
|
| 1139 |
+
"eval_steps_per_second": 21.446,
|
| 1140 |
+
"step": 75000
|
| 1141 |
+
},
|
| 1142 |
+
{
|
| 1143 |
+
"epoch": 3.1,
|
| 1144 |
+
"learning_rate": 2.1102222222222226e-06,
|
| 1145 |
+
"loss": 1.0116,
|
| 1146 |
+
"step": 76000
|
| 1147 |
+
},
|
| 1148 |
+
{
|
| 1149 |
+
"epoch": 3.1,
|
| 1150 |
+
"eval_accuracy": 0.5039920159680639,
|
| 1151 |
+
"eval_loss": 0.9843892455101013,
|
| 1152 |
+
"eval_runtime": 29.4161,
|
| 1153 |
+
"eval_samples_per_second": 170.315,
|
| 1154 |
+
"eval_steps_per_second": 21.315,
|
| 1155 |
+
"step": 76000
|
| 1156 |
+
},
|
| 1157 |
+
{
|
| 1158 |
+
"epoch": 3.14,
|
| 1159 |
+
"learning_rate": 2.1379722222222224e-06,
|
| 1160 |
+
"loss": 1.0128,
|
| 1161 |
+
"step": 77000
|
| 1162 |
+
},
|
| 1163 |
+
{
|
| 1164 |
+
"epoch": 3.14,
|
| 1165 |
+
"eval_accuracy": 0.4746506986027944,
|
| 1166 |
+
"eval_loss": 1.0196081399917603,
|
| 1167 |
+
"eval_runtime": 29.2722,
|
| 1168 |
+
"eval_samples_per_second": 171.152,
|
| 1169 |
+
"eval_steps_per_second": 21.42,
|
| 1170 |
+
"step": 77000
|
| 1171 |
+
},
|
| 1172 |
+
{
|
| 1173 |
+
"epoch": 3.18,
|
| 1174 |
+
"learning_rate": 2.16575e-06,
|
| 1175 |
+
"loss": 1.0051,
|
| 1176 |
+
"step": 78000
|
| 1177 |
+
},
|
| 1178 |
+
{
|
| 1179 |
+
"epoch": 3.18,
|
| 1180 |
+
"eval_accuracy": 0.5039920159680639,
|
| 1181 |
+
"eval_loss": 0.9861226677894592,
|
| 1182 |
+
"eval_runtime": 29.0739,
|
| 1183 |
+
"eval_samples_per_second": 172.32,
|
| 1184 |
+
"eval_steps_per_second": 21.566,
|
| 1185 |
+
"step": 78000
|
| 1186 |
+
},
|
| 1187 |
+
{
|
| 1188 |
+
"epoch": 3.22,
|
| 1189 |
+
"learning_rate": 2.1935000000000003e-06,
|
| 1190 |
+
"loss": 1.0106,
|
| 1191 |
+
"step": 79000
|
| 1192 |
+
},
|
| 1193 |
+
{
|
| 1194 |
+
"epoch": 3.22,
|
| 1195 |
+
"eval_accuracy": 0.49241516966067866,
|
| 1196 |
+
"eval_loss": 1.0106168985366821,
|
| 1197 |
+
"eval_runtime": 29.2182,
|
| 1198 |
+
"eval_samples_per_second": 171.469,
|
| 1199 |
+
"eval_steps_per_second": 21.459,
|
| 1200 |
+
"step": 79000
|
| 1201 |
+
},
|
| 1202 |
+
{
|
| 1203 |
+
"epoch": 3.26,
|
| 1204 |
+
"learning_rate": 2.221277777777778e-06,
|
| 1205 |
+
"loss": 1.0086,
|
| 1206 |
+
"step": 80000
|
| 1207 |
+
},
|
| 1208 |
+
{
|
| 1209 |
+
"epoch": 3.26,
|
| 1210 |
+
"eval_accuracy": 0.4942115768463074,
|
| 1211 |
+
"eval_loss": 1.0031169652938843,
|
| 1212 |
+
"eval_runtime": 29.1384,
|
| 1213 |
+
"eval_samples_per_second": 171.938,
|
| 1214 |
+
"eval_steps_per_second": 21.518,
|
| 1215 |
+
"step": 80000
|
| 1216 |
+
},
|
| 1217 |
+
{
|
| 1218 |
+
"epoch": 3.3,
|
| 1219 |
+
"learning_rate": 2.249027777777778e-06,
|
| 1220 |
+
"loss": 1.0097,
|
| 1221 |
+
"step": 81000
|
| 1222 |
+
},
|
| 1223 |
+
{
|
| 1224 |
+
"epoch": 3.3,
|
| 1225 |
+
"eval_accuracy": 0.4932135728542914,
|
| 1226 |
+
"eval_loss": 0.9960971474647522,
|
| 1227 |
+
"eval_runtime": 29.1317,
|
| 1228 |
+
"eval_samples_per_second": 171.977,
|
| 1229 |
+
"eval_steps_per_second": 21.523,
|
| 1230 |
+
"step": 81000
|
| 1231 |
+
},
|
| 1232 |
+
{
|
| 1233 |
+
"epoch": 3.34,
|
| 1234 |
+
"learning_rate": 2.2768055555555557e-06,
|
| 1235 |
+
"loss": 1.0192,
|
| 1236 |
+
"step": 82000
|
| 1237 |
+
},
|
| 1238 |
+
{
|
| 1239 |
+
"epoch": 3.34,
|
| 1240 |
+
"eval_accuracy": 0.49620758483033933,
|
| 1241 |
+
"eval_loss": 0.9951682686805725,
|
| 1242 |
+
"eval_runtime": 29.1358,
|
| 1243 |
+
"eval_samples_per_second": 171.954,
|
| 1244 |
+
"eval_steps_per_second": 21.52,
|
| 1245 |
+
"step": 82000
|
| 1246 |
+
},
|
| 1247 |
+
{
|
| 1248 |
+
"epoch": 3.38,
|
| 1249 |
+
"learning_rate": 2.3045555555555555e-06,
|
| 1250 |
+
"loss": 1.006,
|
| 1251 |
+
"step": 83000
|
| 1252 |
+
},
|
| 1253 |
+
{
|
| 1254 |
+
"epoch": 3.38,
|
| 1255 |
+
"eval_accuracy": 0.49840319361277446,
|
| 1256 |
+
"eval_loss": 0.9937891960144043,
|
| 1257 |
+
"eval_runtime": 29.1682,
|
| 1258 |
+
"eval_samples_per_second": 171.762,
|
| 1259 |
+
"eval_steps_per_second": 21.496,
|
| 1260 |
+
"step": 83000
|
| 1261 |
+
},
|
| 1262 |
+
{
|
| 1263 |
+
"epoch": 3.42,
|
| 1264 |
+
"learning_rate": 2.3323333333333335e-06,
|
| 1265 |
+
"loss": 1.0118,
|
| 1266 |
+
"step": 84000
|
| 1267 |
+
},
|
| 1268 |
+
{
|
| 1269 |
+
"epoch": 3.42,
|
| 1270 |
+
"eval_accuracy": 0.5007984031936128,
|
| 1271 |
+
"eval_loss": 0.9840214252471924,
|
| 1272 |
+
"eval_runtime": 29.1175,
|
| 1273 |
+
"eval_samples_per_second": 172.061,
|
| 1274 |
+
"eval_steps_per_second": 21.533,
|
| 1275 |
+
"step": 84000
|
| 1276 |
+
},
|
| 1277 |
+
{
|
| 1278 |
+
"epoch": 3.46,
|
| 1279 |
+
"learning_rate": 2.360083333333334e-06,
|
| 1280 |
+
"loss": 1.006,
|
| 1281 |
+
"step": 85000
|
| 1282 |
+
},
|
| 1283 |
+
{
|
| 1284 |
+
"epoch": 3.46,
|
| 1285 |
+
"eval_accuracy": 0.49620758483033933,
|
| 1286 |
+
"eval_loss": 0.9880582690238953,
|
| 1287 |
+
"eval_runtime": 29.1304,
|
| 1288 |
+
"eval_samples_per_second": 171.985,
|
| 1289 |
+
"eval_steps_per_second": 21.524,
|
| 1290 |
+
"step": 85000
|
| 1291 |
+
},
|
| 1292 |
+
{
|
| 1293 |
+
"epoch": 3.5,
|
| 1294 |
+
"learning_rate": 2.3878611111111113e-06,
|
| 1295 |
+
"loss": 1.0151,
|
| 1296 |
+
"step": 86000
|
| 1297 |
+
},
|
| 1298 |
+
{
|
| 1299 |
+
"epoch": 3.5,
|
| 1300 |
+
"eval_accuracy": 0.5053892215568863,
|
| 1301 |
+
"eval_loss": 0.9828479886054993,
|
| 1302 |
+
"eval_runtime": 29.1321,
|
| 1303 |
+
"eval_samples_per_second": 171.975,
|
| 1304 |
+
"eval_steps_per_second": 21.523,
|
| 1305 |
+
"step": 86000
|
| 1306 |
+
},
|
| 1307 |
+
{
|
| 1308 |
+
"epoch": 3.54,
|
| 1309 |
+
"learning_rate": 2.4156388888888893e-06,
|
| 1310 |
+
"loss": 1.0028,
|
| 1311 |
+
"step": 87000
|
| 1312 |
+
},
|
| 1313 |
+
{
|
| 1314 |
+
"epoch": 3.54,
|
| 1315 |
+
"eval_accuracy": 0.5073852295409181,
|
| 1316 |
+
"eval_loss": 0.9821121692657471,
|
| 1317 |
+
"eval_runtime": 29.1459,
|
| 1318 |
+
"eval_samples_per_second": 171.894,
|
| 1319 |
+
"eval_steps_per_second": 21.512,
|
| 1320 |
+
"step": 87000
|
| 1321 |
+
},
|
| 1322 |
+
{
|
| 1323 |
+
"epoch": 3.59,
|
| 1324 |
+
"learning_rate": 2.443388888888889e-06,
|
| 1325 |
+
"loss": 1.0092,
|
| 1326 |
+
"step": 88000
|
| 1327 |
+
},
|
| 1328 |
+
{
|
| 1329 |
+
"epoch": 3.59,
|
| 1330 |
+
"eval_accuracy": 0.5105788423153692,
|
| 1331 |
+
"eval_loss": 0.9791818857192993,
|
| 1332 |
+
"eval_runtime": 29.1206,
|
| 1333 |
+
"eval_samples_per_second": 172.043,
|
| 1334 |
+
"eval_steps_per_second": 21.531,
|
| 1335 |
+
"step": 88000
|
| 1336 |
+
},
|
| 1337 |
+
{
|
| 1338 |
+
"epoch": 3.63,
|
| 1339 |
+
"learning_rate": 2.4711666666666668e-06,
|
| 1340 |
+
"loss": 1.0024,
|
| 1341 |
+
"step": 89000
|
| 1342 |
+
},
|
| 1343 |
+
{
|
| 1344 |
+
"epoch": 3.63,
|
| 1345 |
+
"eval_accuracy": 0.4940119760479042,
|
| 1346 |
+
"eval_loss": 0.986344039440155,
|
| 1347 |
+
"eval_runtime": 29.1948,
|
| 1348 |
+
"eval_samples_per_second": 171.606,
|
| 1349 |
+
"eval_steps_per_second": 21.476,
|
| 1350 |
+
"step": 89000
|
| 1351 |
+
},
|
| 1352 |
+
{
|
| 1353 |
+
"epoch": 3.67,
|
| 1354 |
+
"learning_rate": 2.4989166666666666e-06,
|
| 1355 |
+
"loss": 1.0112,
|
| 1356 |
+
"step": 90000
|
| 1357 |
+
},
|
| 1358 |
+
{
|
| 1359 |
+
"epoch": 3.67,
|
| 1360 |
+
"eval_accuracy": 0.5101796407185629,
|
| 1361 |
+
"eval_loss": 0.9789302349090576,
|
| 1362 |
+
"eval_runtime": 29.2661,
|
| 1363 |
+
"eval_samples_per_second": 171.188,
|
| 1364 |
+
"eval_steps_per_second": 21.424,
|
| 1365 |
+
"step": 90000
|
| 1366 |
+
},
|
| 1367 |
+
{
|
| 1368 |
+
"epoch": 3.71,
|
| 1369 |
+
"learning_rate": 2.5266944444444446e-06,
|
| 1370 |
+
"loss": 1.0137,
|
| 1371 |
+
"step": 91000
|
| 1372 |
+
},
|
| 1373 |
+
{
|
| 1374 |
+
"epoch": 3.71,
|
| 1375 |
+
"eval_accuracy": 0.4936127744510978,
|
| 1376 |
+
"eval_loss": 0.9870284795761108,
|
| 1377 |
+
"eval_runtime": 29.4012,
|
| 1378 |
+
"eval_samples_per_second": 170.401,
|
| 1379 |
+
"eval_steps_per_second": 21.326,
|
| 1380 |
+
"step": 91000
|
| 1381 |
+
},
|
| 1382 |
+
{
|
| 1383 |
+
"epoch": 3.75,
|
| 1384 |
+
"learning_rate": 2.554444444444445e-06,
|
| 1385 |
+
"loss": 1.0076,
|
| 1386 |
+
"step": 92000
|
| 1387 |
+
},
|
| 1388 |
+
{
|
| 1389 |
+
"epoch": 3.75,
|
| 1390 |
+
"eval_accuracy": 0.49880239520958086,
|
| 1391 |
+
"eval_loss": 0.9906250238418579,
|
| 1392 |
+
"eval_runtime": 29.2222,
|
| 1393 |
+
"eval_samples_per_second": 171.445,
|
| 1394 |
+
"eval_steps_per_second": 21.456,
|
| 1395 |
+
"step": 92000
|
| 1396 |
+
},
|
| 1397 |
+
{
|
| 1398 |
+
"epoch": 3.79,
|
| 1399 |
+
"learning_rate": 2.5822222222222224e-06,
|
| 1400 |
+
"loss": 1.0093,
|
| 1401 |
+
"step": 93000
|
| 1402 |
+
},
|
| 1403 |
+
{
|
| 1404 |
+
"epoch": 3.79,
|
| 1405 |
+
"eval_accuracy": 0.5121756487025948,
|
| 1406 |
+
"eval_loss": 0.9766275882720947,
|
| 1407 |
+
"eval_runtime": 29.2374,
|
| 1408 |
+
"eval_samples_per_second": 171.356,
|
| 1409 |
+
"eval_steps_per_second": 21.445,
|
| 1410 |
+
"step": 93000
|
| 1411 |
+
},
|
| 1412 |
+
{
|
| 1413 |
+
"epoch": 3.83,
|
| 1414 |
+
"learning_rate": 2.6099722222222223e-06,
|
| 1415 |
+
"loss": 1.0015,
|
| 1416 |
+
"step": 94000
|
| 1417 |
+
},
|
| 1418 |
+
{
|
| 1419 |
+
"epoch": 3.83,
|
| 1420 |
+
"eval_accuracy": 0.4942115768463074,
|
| 1421 |
+
"eval_loss": 0.991917073726654,
|
| 1422 |
+
"eval_runtime": 29.3042,
|
| 1423 |
+
"eval_samples_per_second": 170.965,
|
| 1424 |
+
"eval_steps_per_second": 21.396,
|
| 1425 |
+
"step": 94000
|
| 1426 |
+
},
|
| 1427 |
+
{
|
| 1428 |
+
"epoch": 3.87,
|
| 1429 |
+
"learning_rate": 2.6377500000000003e-06,
|
| 1430 |
+
"loss": 1.0066,
|
| 1431 |
+
"step": 95000
|
| 1432 |
+
},
|
| 1433 |
+
{
|
| 1434 |
+
"epoch": 3.87,
|
| 1435 |
+
"eval_accuracy": 0.5101796407185629,
|
| 1436 |
+
"eval_loss": 0.9762089252471924,
|
| 1437 |
+
"eval_runtime": 29.2686,
|
| 1438 |
+
"eval_samples_per_second": 171.173,
|
| 1439 |
+
"eval_steps_per_second": 21.422,
|
| 1440 |
+
"step": 95000
|
| 1441 |
+
},
|
| 1442 |
+
{
|
| 1443 |
+
"epoch": 3.91,
|
| 1444 |
+
"learning_rate": 2.6655e-06,
|
| 1445 |
+
"loss": 1.0033,
|
| 1446 |
+
"step": 96000
|
| 1447 |
+
},
|
| 1448 |
+
{
|
| 1449 |
+
"epoch": 3.91,
|
| 1450 |
+
"eval_accuracy": 0.5071856287425149,
|
| 1451 |
+
"eval_loss": 0.9739634990692139,
|
| 1452 |
+
"eval_runtime": 29.2989,
|
| 1453 |
+
"eval_samples_per_second": 170.996,
|
| 1454 |
+
"eval_steps_per_second": 21.4,
|
| 1455 |
+
"step": 96000
|
| 1456 |
+
},
|
| 1457 |
+
{
|
| 1458 |
+
"epoch": 3.95,
|
| 1459 |
+
"learning_rate": 2.6932777777777777e-06,
|
| 1460 |
+
"loss": 1.0054,
|
| 1461 |
+
"step": 97000
|
| 1462 |
+
},
|
| 1463 |
+
{
|
| 1464 |
+
"epoch": 3.95,
|
| 1465 |
+
"eval_accuracy": 0.5033932135728543,
|
| 1466 |
+
"eval_loss": 0.9856627583503723,
|
| 1467 |
+
"eval_runtime": 29.2684,
|
| 1468 |
+
"eval_samples_per_second": 171.174,
|
| 1469 |
+
"eval_steps_per_second": 21.422,
|
| 1470 |
+
"step": 97000
|
| 1471 |
+
},
|
| 1472 |
+
{
|
| 1473 |
+
"epoch": 3.99,
|
| 1474 |
+
"learning_rate": 2.721027777777778e-06,
|
| 1475 |
+
"loss": 1.0034,
|
| 1476 |
+
"step": 98000
|
| 1477 |
+
},
|
| 1478 |
+
{
|
| 1479 |
+
"epoch": 3.99,
|
| 1480 |
+
"eval_accuracy": 0.5055888223552895,
|
| 1481 |
+
"eval_loss": 0.9802790880203247,
|
| 1482 |
+
"eval_runtime": 29.2896,
|
| 1483 |
+
"eval_samples_per_second": 171.051,
|
| 1484 |
+
"eval_steps_per_second": 21.407,
|
| 1485 |
+
"step": 98000
|
| 1486 |
+
},
|
| 1487 |
+
{
|
| 1488 |
+
"epoch": 4.03,
|
| 1489 |
+
"learning_rate": 2.748805555555556e-06,
|
| 1490 |
+
"loss": 1.0003,
|
| 1491 |
+
"step": 99000
|
| 1492 |
+
},
|
| 1493 |
+
{
|
| 1494 |
+
"epoch": 4.03,
|
| 1495 |
+
"eval_accuracy": 0.5183632734530939,
|
| 1496 |
+
"eval_loss": 0.9739055037498474,
|
| 1497 |
+
"eval_runtime": 29.3152,
|
| 1498 |
+
"eval_samples_per_second": 170.901,
|
| 1499 |
+
"eval_steps_per_second": 21.388,
|
| 1500 |
+
"step": 99000
|
| 1501 |
+
},
|
| 1502 |
+
{
|
| 1503 |
+
"epoch": 4.07,
|
| 1504 |
+
"learning_rate": 2.776555555555556e-06,
|
| 1505 |
+
"loss": 0.9978,
|
| 1506 |
+
"step": 100000
|
| 1507 |
+
},
|
| 1508 |
+
{
|
| 1509 |
+
"epoch": 4.07,
|
| 1510 |
+
"eval_accuracy": 0.5153692614770459,
|
| 1511 |
+
"eval_loss": 0.9735556244850159,
|
| 1512 |
+
"eval_runtime": 29.6841,
|
| 1513 |
+
"eval_samples_per_second": 168.777,
|
| 1514 |
+
"eval_steps_per_second": 21.122,
|
| 1515 |
+
"step": 100000
|
| 1516 |
+
},
|
| 1517 |
+
{
|
| 1518 |
+
"epoch": 4.12,
|
| 1519 |
+
"learning_rate": 2.8043333333333334e-06,
|
| 1520 |
+
"loss": 1.0012,
|
| 1521 |
+
"step": 101000
|
| 1522 |
+
},
|
| 1523 |
+
{
|
| 1524 |
+
"epoch": 4.12,
|
| 1525 |
+
"eval_accuracy": 0.5115768463073852,
|
| 1526 |
+
"eval_loss": 0.9762488603591919,
|
| 1527 |
+
"eval_runtime": 29.3408,
|
| 1528 |
+
"eval_samples_per_second": 170.752,
|
| 1529 |
+
"eval_steps_per_second": 21.37,
|
| 1530 |
+
"step": 101000
|
| 1531 |
+
},
|
| 1532 |
+
{
|
| 1533 |
+
"epoch": 4.16,
|
| 1534 |
+
"learning_rate": 2.8320833333333333e-06,
|
| 1535 |
+
"loss": 0.9995,
|
| 1536 |
+
"step": 102000
|
| 1537 |
+
},
|
| 1538 |
+
{
|
| 1539 |
+
"epoch": 4.16,
|
| 1540 |
+
"eval_accuracy": 0.492814371257485,
|
| 1541 |
+
"eval_loss": 0.986444890499115,
|
| 1542 |
+
"eval_runtime": 29.2787,
|
| 1543 |
+
"eval_samples_per_second": 171.114,
|
| 1544 |
+
"eval_steps_per_second": 21.415,
|
| 1545 |
+
"step": 102000
|
| 1546 |
+
},
|
| 1547 |
+
{
|
| 1548 |
+
"epoch": 4.2,
|
| 1549 |
+
"learning_rate": 2.8598611111111112e-06,
|
| 1550 |
+
"loss": 1.0034,
|
| 1551 |
+
"step": 103000
|
| 1552 |
+
},
|
| 1553 |
+
{
|
| 1554 |
+
"epoch": 4.2,
|
| 1555 |
+
"eval_accuracy": 0.5181636726546907,
|
| 1556 |
+
"eval_loss": 0.9686606526374817,
|
| 1557 |
+
"eval_runtime": 29.3082,
|
| 1558 |
+
"eval_samples_per_second": 170.942,
|
| 1559 |
+
"eval_steps_per_second": 21.393,
|
| 1560 |
+
"step": 103000
|
| 1561 |
+
},
|
| 1562 |
+
{
|
| 1563 |
+
"epoch": 4.24,
|
| 1564 |
+
"learning_rate": 2.8876111111111115e-06,
|
| 1565 |
+
"loss": 0.9966,
|
| 1566 |
+
"step": 104000
|
| 1567 |
+
},
|
| 1568 |
+
{
|
| 1569 |
+
"epoch": 4.24,
|
| 1570 |
+
"eval_accuracy": 0.49540918163672654,
|
| 1571 |
+
"eval_loss": 0.9904249906539917,
|
| 1572 |
+
"eval_runtime": 29.3774,
|
| 1573 |
+
"eval_samples_per_second": 170.539,
|
| 1574 |
+
"eval_steps_per_second": 21.343,
|
| 1575 |
+
"step": 104000
|
| 1576 |
+
},
|
| 1577 |
+
{
|
| 1578 |
+
"epoch": 4.28,
|
| 1579 |
+
"learning_rate": 2.915388888888889e-06,
|
| 1580 |
+
"loss": 0.993,
|
| 1581 |
+
"step": 105000
|
| 1582 |
+
},
|
| 1583 |
+
{
|
| 1584 |
+
"epoch": 4.28,
|
| 1585 |
+
"eval_accuracy": 0.48522954091816367,
|
| 1586 |
+
"eval_loss": 1.0059425830841064,
|
| 1587 |
+
"eval_runtime": 29.3509,
|
| 1588 |
+
"eval_samples_per_second": 170.693,
|
| 1589 |
+
"eval_steps_per_second": 21.362,
|
| 1590 |
+
"step": 105000
|
| 1591 |
+
},
|
| 1592 |
+
{
|
| 1593 |
+
"epoch": 4.32,
|
| 1594 |
+
"learning_rate": 2.943138888888889e-06,
|
| 1595 |
+
"loss": 0.9887,
|
| 1596 |
+
"step": 106000
|
| 1597 |
+
},
|
| 1598 |
+
{
|
| 1599 |
+
"epoch": 4.32,
|
| 1600 |
+
"eval_accuracy": 0.5167664670658683,
|
| 1601 |
+
"eval_loss": 0.9730390906333923,
|
| 1602 |
+
"eval_runtime": 29.3622,
|
| 1603 |
+
"eval_samples_per_second": 170.628,
|
| 1604 |
+
"eval_steps_per_second": 21.354,
|
| 1605 |
+
"step": 106000
|
| 1606 |
+
},
|
| 1607 |
+
{
|
| 1608 |
+
"epoch": 4.36,
|
| 1609 |
+
"learning_rate": 2.9709166666666665e-06,
|
| 1610 |
+
"loss": 0.99,
|
| 1611 |
+
"step": 107000
|
| 1612 |
+
},
|
| 1613 |
+
{
|
| 1614 |
+
"epoch": 4.36,
|
| 1615 |
+
"eval_accuracy": 0.5067864271457085,
|
| 1616 |
+
"eval_loss": 0.9823795557022095,
|
| 1617 |
+
"eval_runtime": 29.6253,
|
| 1618 |
+
"eval_samples_per_second": 169.112,
|
| 1619 |
+
"eval_steps_per_second": 21.164,
|
| 1620 |
+
"step": 107000
|
| 1621 |
+
},
|
| 1622 |
+
{
|
| 1623 |
+
"epoch": 4.4,
|
| 1624 |
+
"learning_rate": 2.9986666666666668e-06,
|
| 1625 |
+
"loss": 0.9892,
|
| 1626 |
+
"step": 108000
|
| 1627 |
+
},
|
| 1628 |
+
{
|
| 1629 |
+
"epoch": 4.4,
|
| 1630 |
+
"eval_accuracy": 0.5063872255489021,
|
| 1631 |
+
"eval_loss": 0.9779866337776184,
|
| 1632 |
+
"eval_runtime": 29.3617,
|
| 1633 |
+
"eval_samples_per_second": 170.63,
|
| 1634 |
+
"eval_steps_per_second": 21.354,
|
| 1635 |
+
"step": 108000
|
| 1636 |
+
},
|
| 1637 |
+
{
|
| 1638 |
+
"epoch": 4.44,
|
| 1639 |
+
"learning_rate": 3.0264444444444448e-06,
|
| 1640 |
+
"loss": 0.9875,
|
| 1641 |
+
"step": 109000
|
| 1642 |
+
},
|
| 1643 |
+
{
|
| 1644 |
+
"epoch": 4.44,
|
| 1645 |
+
"eval_accuracy": 0.51437125748503,
|
| 1646 |
+
"eval_loss": 0.9730616211891174,
|
| 1647 |
+
"eval_runtime": 29.1847,
|
| 1648 |
+
"eval_samples_per_second": 171.665,
|
| 1649 |
+
"eval_steps_per_second": 21.484,
|
| 1650 |
+
"step": 109000
|
| 1651 |
+
},
|
| 1652 |
+
{
|
| 1653 |
+
"epoch": 4.48,
|
| 1654 |
+
"learning_rate": 3.0541944444444446e-06,
|
| 1655 |
+
"loss": 0.9941,
|
| 1656 |
+
"step": 110000
|
| 1657 |
+
},
|
| 1658 |
+
{
|
| 1659 |
+
"epoch": 4.48,
|
| 1660 |
+
"eval_accuracy": 0.5141716566866268,
|
| 1661 |
+
"eval_loss": 0.9669836163520813,
|
| 1662 |
+
"eval_runtime": 29.1138,
|
| 1663 |
+
"eval_samples_per_second": 172.084,
|
| 1664 |
+
"eval_steps_per_second": 21.536,
|
| 1665 |
+
"step": 110000
|
| 1666 |
+
},
|
| 1667 |
+
{
|
| 1668 |
+
"epoch": 4.52,
|
| 1669 |
+
"learning_rate": 3.081972222222222e-06,
|
| 1670 |
+
"loss": 0.9882,
|
| 1671 |
+
"step": 111000
|
| 1672 |
+
},
|
| 1673 |
+
{
|
| 1674 |
+
"epoch": 4.52,
|
| 1675 |
+
"eval_accuracy": 0.5111776447105788,
|
| 1676 |
+
"eval_loss": 0.9662576913833618,
|
| 1677 |
+
"eval_runtime": 29.1798,
|
| 1678 |
+
"eval_samples_per_second": 171.694,
|
| 1679 |
+
"eval_steps_per_second": 21.487,
|
| 1680 |
+
"step": 111000
|
| 1681 |
+
},
|
| 1682 |
+
{
|
| 1683 |
+
"epoch": 4.56,
|
| 1684 |
+
"learning_rate": 3.109722222222222e-06,
|
| 1685 |
+
"loss": 1.0006,
|
| 1686 |
+
"step": 112000
|
| 1687 |
+
},
|
| 1688 |
+
{
|
| 1689 |
+
"epoch": 4.56,
|
| 1690 |
+
"eval_accuracy": 0.5165668662674651,
|
| 1691 |
+
"eval_loss": 0.9604237079620361,
|
| 1692 |
+
"eval_runtime": 29.1464,
|
| 1693 |
+
"eval_samples_per_second": 171.891,
|
| 1694 |
+
"eval_steps_per_second": 21.512,
|
| 1695 |
+
"step": 112000
|
| 1696 |
+
},
|
| 1697 |
+
{
|
| 1698 |
+
"epoch": 4.6,
|
| 1699 |
+
"learning_rate": 3.1375e-06,
|
| 1700 |
+
"loss": 0.9836,
|
| 1701 |
+
"step": 113000
|
| 1702 |
+
},
|
| 1703 |
+
{
|
| 1704 |
+
"epoch": 4.6,
|
| 1705 |
+
"eval_accuracy": 0.5065868263473053,
|
| 1706 |
+
"eval_loss": 0.9700830578804016,
|
| 1707 |
+
"eval_runtime": 29.1062,
|
| 1708 |
+
"eval_samples_per_second": 172.128,
|
| 1709 |
+
"eval_steps_per_second": 21.542,
|
| 1710 |
+
"step": 113000
|
| 1711 |
+
},
|
| 1712 |
+
{
|
| 1713 |
+
"epoch": 4.64,
|
| 1714 |
+
"learning_rate": 3.1652500000000003e-06,
|
| 1715 |
+
"loss": 0.9859,
|
| 1716 |
+
"step": 114000
|
| 1717 |
+
},
|
| 1718 |
+
{
|
| 1719 |
+
"epoch": 4.64,
|
| 1720 |
+
"eval_accuracy": 0.5223552894211577,
|
| 1721 |
+
"eval_loss": 0.9596023559570312,
|
| 1722 |
+
"eval_runtime": 29.3595,
|
| 1723 |
+
"eval_samples_per_second": 170.643,
|
| 1724 |
+
"eval_steps_per_second": 21.356,
|
| 1725 |
+
"step": 114000
|
| 1726 |
+
},
|
| 1727 |
+
{
|
| 1728 |
+
"epoch": 4.69,
|
| 1729 |
+
"learning_rate": 3.1930277777777783e-06,
|
| 1730 |
+
"loss": 0.991,
|
| 1731 |
+
"step": 115000
|
| 1732 |
+
},
|
| 1733 |
+
{
|
| 1734 |
+
"epoch": 4.69,
|
| 1735 |
+
"eval_accuracy": 0.5215568862275449,
|
| 1736 |
+
"eval_loss": 0.9584790468215942,
|
| 1737 |
+
"eval_runtime": 29.4284,
|
| 1738 |
+
"eval_samples_per_second": 170.243,
|
| 1739 |
+
"eval_steps_per_second": 21.306,
|
| 1740 |
+
"step": 115000
|
| 1741 |
+
},
|
| 1742 |
+
{
|
| 1743 |
+
"epoch": 4.73,
|
| 1744 |
+
"learning_rate": 3.220777777777778e-06,
|
| 1745 |
+
"loss": 0.982,
|
| 1746 |
+
"step": 116000
|
| 1747 |
+
},
|
| 1748 |
+
{
|
| 1749 |
+
"epoch": 4.73,
|
| 1750 |
+
"eval_accuracy": 0.5207584830339321,
|
| 1751 |
+
"eval_loss": 0.9602293372154236,
|
| 1752 |
+
"eval_runtime": 29.4239,
|
| 1753 |
+
"eval_samples_per_second": 170.27,
|
| 1754 |
+
"eval_steps_per_second": 21.309,
|
| 1755 |
+
"step": 116000
|
| 1756 |
+
},
|
| 1757 |
+
{
|
| 1758 |
+
"epoch": 4.77,
|
| 1759 |
+
"learning_rate": 3.2485555555555553e-06,
|
| 1760 |
+
"loss": 0.9888,
|
| 1761 |
+
"step": 117000
|
| 1762 |
+
},
|
| 1763 |
+
{
|
| 1764 |
+
"epoch": 4.77,
|
| 1765 |
+
"eval_accuracy": 0.5145708582834332,
|
| 1766 |
+
"eval_loss": 0.968986451625824,
|
| 1767 |
+
"eval_runtime": 29.4269,
|
| 1768 |
+
"eval_samples_per_second": 170.252,
|
| 1769 |
+
"eval_steps_per_second": 21.307,
|
| 1770 |
+
"step": 117000
|
| 1771 |
+
}
|
| 1772 |
+
],
|
| 1773 |
+
"logging_steps": 1000,
|
| 1774 |
+
"max_steps": 10000000,
|
| 1775 |
+
"num_train_epochs": 408,
|
| 1776 |
+
"save_steps": 1000,
|
| 1777 |
+
"total_flos": 1.2228856497517363e+17,
|
| 1778 |
+
"trial_name": null,
|
| 1779 |
+
"trial_params": null
|
| 1780 |
+
}
|
checkpoint-117000/training_args.bin
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:35131e4915b0e8d5c12cfe76344eb3f82740d8fb21233ad6a425c6f5e63a567e
|
| 3 |
+
size 4027
|
checkpoint-117000/vocab.json
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|