roy
commited on
Commit
•
59e423f
1
Parent(s):
bfce93f
baseline
Browse files- .gitattributes +1 -0
- all_results.json +18 -0
- config.json +56 -0
- eval_results.json +13 -0
- pytorch_model.bin +3 -0
- special_tokens_map.json +7 -0
- tokenizer.json +0 -0
- tokenizer_config.json +7 -0
- train_results.json +8 -0
- trainer_state.json +2370 -0
- training_args.bin +3 -0
.gitattributes
CHANGED
@@ -32,3 +32,4 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
|
|
32 |
*.zip filter=lfs diff=lfs merge=lfs -text
|
33 |
*.zst filter=lfs diff=lfs merge=lfs -text
|
34 |
*tfevents* filter=lfs diff=lfs merge=lfs -text
|
|
|
|
32 |
*.zip filter=lfs diff=lfs merge=lfs -text
|
33 |
*.zst filter=lfs diff=lfs merge=lfs -text
|
34 |
*tfevents* filter=lfs diff=lfs merge=lfs -text
|
35 |
+
pytorch_model.bin filter=lfs diff=lfs merge=lfs -text
|
all_results.json
ADDED
@@ -0,0 +1,18 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"epoch": 10.0,
|
3 |
+
"eval_gen_len": 20.0,
|
4 |
+
"eval_loss": 1.933449387550354,
|
5 |
+
"eval_rouge1": 22.3137,
|
6 |
+
"eval_rouge2": 5.8376,
|
7 |
+
"eval_rougeL": 22.1264,
|
8 |
+
"eval_rougeLsum": 22.1274,
|
9 |
+
"eval_runtime": 163.5249,
|
10 |
+
"eval_samples": 7008,
|
11 |
+
"eval_samples_per_second": 42.856,
|
12 |
+
"eval_steps_per_second": 2.678,
|
13 |
+
"train_loss": 1.5038130920392954,
|
14 |
+
"train_runtime": 13804.3068,
|
15 |
+
"train_samples": 56760,
|
16 |
+
"train_samples_per_second": 41.118,
|
17 |
+
"train_steps_per_second": 2.57
|
18 |
+
}
|
config.json
ADDED
@@ -0,0 +1,56 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"_name_or_path": "gogamza/kobart-base-v2",
|
3 |
+
"activation_dropout": 0.0,
|
4 |
+
"activation_function": "gelu",
|
5 |
+
"add_bias_logits": false,
|
6 |
+
"add_final_layer_norm": false,
|
7 |
+
"architectures": [
|
8 |
+
"BartForConditionalGeneration"
|
9 |
+
],
|
10 |
+
"attention_dropout": 0.0,
|
11 |
+
"author": "Heewon Jeon(madjakarta@gmail.com)",
|
12 |
+
"bos_token_id": 1,
|
13 |
+
"classif_dropout": 0.1,
|
14 |
+
"classifier_dropout": 0.1,
|
15 |
+
"d_model": 768,
|
16 |
+
"decoder_attention_heads": 16,
|
17 |
+
"decoder_ffn_dim": 3072,
|
18 |
+
"decoder_layerdrop": 0.0,
|
19 |
+
"decoder_layers": 6,
|
20 |
+
"decoder_start_token_id": 1,
|
21 |
+
"do_blenderbot_90_layernorm": false,
|
22 |
+
"dropout": 0.1,
|
23 |
+
"encoder_attention_heads": 16,
|
24 |
+
"encoder_ffn_dim": 3072,
|
25 |
+
"encoder_layerdrop": 0.0,
|
26 |
+
"encoder_layers": 6,
|
27 |
+
"eos_token_id": 1,
|
28 |
+
"extra_pos_embeddings": 2,
|
29 |
+
"force_bos_token_to_be_generated": false,
|
30 |
+
"forced_eos_token_id": 1,
|
31 |
+
"gradient_checkpointing": false,
|
32 |
+
"id2label": {
|
33 |
+
"0": "NEGATIVE",
|
34 |
+
"1": "POSITIVE"
|
35 |
+
},
|
36 |
+
"init_std": 0.02,
|
37 |
+
"is_encoder_decoder": true,
|
38 |
+
"kobart_version": 2.0,
|
39 |
+
"label2id": {
|
40 |
+
"NEGATIVE": 0,
|
41 |
+
"POSITIVE": 1
|
42 |
+
},
|
43 |
+
"max_position_embeddings": 1026,
|
44 |
+
"model_type": "bart",
|
45 |
+
"normalize_before": false,
|
46 |
+
"normalize_embedding": true,
|
47 |
+
"num_hidden_layers": 6,
|
48 |
+
"pad_token_id": 3,
|
49 |
+
"scale_embedding": false,
|
50 |
+
"static_position_embeddings": false,
|
51 |
+
"tokenizer_class": "PreTrainedTokenizerFast",
|
52 |
+
"torch_dtype": "float32",
|
53 |
+
"transformers_version": "4.25.0",
|
54 |
+
"use_cache": true,
|
55 |
+
"vocab_size": 30000
|
56 |
+
}
|
eval_results.json
ADDED
@@ -0,0 +1,13 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"epoch": 10.0,
|
3 |
+
"eval_gen_len": 20.0,
|
4 |
+
"eval_loss": 1.933449387550354,
|
5 |
+
"eval_rouge1": 22.3137,
|
6 |
+
"eval_rouge2": 5.8376,
|
7 |
+
"eval_rougeL": 22.1264,
|
8 |
+
"eval_rougeLsum": 22.1274,
|
9 |
+
"eval_runtime": 163.5249,
|
10 |
+
"eval_samples": 7008,
|
11 |
+
"eval_samples_per_second": 42.856,
|
12 |
+
"eval_steps_per_second": 2.678
|
13 |
+
}
|
pytorch_model.bin
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:50b60bc88908f3b3fab51f1e924033f49a8c9055d01c6148a53ad4cf0dc47454
|
3 |
+
size 495652819
|
special_tokens_map.json
ADDED
@@ -0,0 +1,7 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"bos_token": "</s>",
|
3 |
+
"eos_token": "</s>",
|
4 |
+
"mask_token": "<mask>",
|
5 |
+
"pad_token": "<pad>",
|
6 |
+
"unk_token": "<unk>"
|
7 |
+
}
|
tokenizer.json
ADDED
The diff for this file is too large to render.
See raw diff
|
|
tokenizer_config.json
ADDED
@@ -0,0 +1,7 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"model_max_length": 1000000000000000019884624838656,
|
3 |
+
"name_or_path": "gogamza/kobart-base-v2",
|
4 |
+
"special_tokens_map_file": "/opt/ml/input/Summarization/checkpoint-34000/models--gogamza--kobart-base-v2/snapshots/f9f2ec35d3c32a1ecc7a3281f9626b7ec1913fed/special_tokens_map.json",
|
5 |
+
"tokenizer_class": "PreTrainedTokenizerFast",
|
6 |
+
"use_fast": true
|
7 |
+
}
|
train_results.json
ADDED
@@ -0,0 +1,8 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"epoch": 10.0,
|
3 |
+
"train_loss": 1.5038130920392954,
|
4 |
+
"train_runtime": 13804.3068,
|
5 |
+
"train_samples": 56760,
|
6 |
+
"train_samples_per_second": 41.118,
|
7 |
+
"train_steps_per_second": 2.57
|
8 |
+
}
|
trainer_state.json
ADDED
@@ -0,0 +1,2370 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"best_metric": 1.933449387550354,
|
3 |
+
"best_model_checkpoint": "/opt/ml/input/Summarization/checkpoint-10000",
|
4 |
+
"epoch": 10.0,
|
5 |
+
"global_step": 35480,
|
6 |
+
"is_hyper_param_search": false,
|
7 |
+
"is_local_process_zero": true,
|
8 |
+
"is_world_process_zero": true,
|
9 |
+
"log_history": [
|
10 |
+
{
|
11 |
+
"epoch": 0.03,
|
12 |
+
"learning_rate": 9.603605964719648e-06,
|
13 |
+
"loss": 2.9628,
|
14 |
+
"step": 100
|
15 |
+
},
|
16 |
+
{
|
17 |
+
"epoch": 0.06,
|
18 |
+
"learning_rate": 2.651882655109716e-05,
|
19 |
+
"loss": 2.3592,
|
20 |
+
"step": 200
|
21 |
+
},
|
22 |
+
{
|
23 |
+
"epoch": 0.08,
|
24 |
+
"learning_rate": 4.9653319145399344e-05,
|
25 |
+
"loss": 2.2458,
|
26 |
+
"step": 300
|
27 |
+
},
|
28 |
+
{
|
29 |
+
"epoch": 0.11,
|
30 |
+
"learning_rate": 3.5272614557174996e-05,
|
31 |
+
"loss": 2.2573,
|
32 |
+
"step": 400
|
33 |
+
},
|
34 |
+
{
|
35 |
+
"epoch": 0.14,
|
36 |
+
"learning_rate": 1.1805441557799242e-05,
|
37 |
+
"loss": 2.2079,
|
38 |
+
"step": 500
|
39 |
+
},
|
40 |
+
{
|
41 |
+
"epoch": 0.17,
|
42 |
+
"learning_rate": 1.1082060287457063e-07,
|
43 |
+
"loss": 2.1759,
|
44 |
+
"step": 600
|
45 |
+
},
|
46 |
+
{
|
47 |
+
"epoch": 0.2,
|
48 |
+
"learning_rate": 4.722474358076239e-05,
|
49 |
+
"loss": 2.1902,
|
50 |
+
"step": 700
|
51 |
+
},
|
52 |
+
{
|
53 |
+
"epoch": 0.23,
|
54 |
+
"learning_rate": 3.921546108807772e-05,
|
55 |
+
"loss": 2.1833,
|
56 |
+
"step": 800
|
57 |
+
},
|
58 |
+
{
|
59 |
+
"epoch": 0.25,
|
60 |
+
"learning_rate": 2.786089912498746e-05,
|
61 |
+
"loss": 2.1655,
|
62 |
+
"step": 900
|
63 |
+
},
|
64 |
+
{
|
65 |
+
"epoch": 0.28,
|
66 |
+
"learning_rate": 1.5842522332451548e-05,
|
67 |
+
"loss": 2.1736,
|
68 |
+
"step": 1000
|
69 |
+
},
|
70 |
+
{
|
71 |
+
"epoch": 0.31,
|
72 |
+
"learning_rate": 5.998560182965376e-06,
|
73 |
+
"loss": 2.1269,
|
74 |
+
"step": 1100
|
75 |
+
},
|
76 |
+
{
|
77 |
+
"epoch": 0.34,
|
78 |
+
"learning_rate": 6.537378853569256e-07,
|
79 |
+
"loss": 2.1282,
|
80 |
+
"step": 1200
|
81 |
+
},
|
82 |
+
{
|
83 |
+
"epoch": 0.37,
|
84 |
+
"learning_rate": 4.975624045467085e-05,
|
85 |
+
"loss": 2.1398,
|
86 |
+
"step": 1300
|
87 |
+
},
|
88 |
+
{
|
89 |
+
"epoch": 0.39,
|
90 |
+
"learning_rate": 4.817047144722464e-05,
|
91 |
+
"loss": 2.1608,
|
92 |
+
"step": 1400
|
93 |
+
},
|
94 |
+
{
|
95 |
+
"epoch": 0.42,
|
96 |
+
"learning_rate": 4.519891933012913e-05,
|
97 |
+
"loss": 2.1441,
|
98 |
+
"step": 1500
|
99 |
+
},
|
100 |
+
{
|
101 |
+
"epoch": 0.45,
|
102 |
+
"learning_rate": 4.1019691489417214e-05,
|
103 |
+
"loss": 2.1726,
|
104 |
+
"step": 1600
|
105 |
+
},
|
106 |
+
{
|
107 |
+
"epoch": 0.48,
|
108 |
+
"learning_rate": 3.588328036709013e-05,
|
109 |
+
"loss": 2.08,
|
110 |
+
"step": 1700
|
111 |
+
},
|
112 |
+
{
|
113 |
+
"epoch": 0.51,
|
114 |
+
"learning_rate": 3.009754957197535e-05,
|
115 |
+
"loss": 2.1441,
|
116 |
+
"step": 1800
|
117 |
+
},
|
118 |
+
{
|
119 |
+
"epoch": 0.54,
|
120 |
+
"learning_rate": 2.4009281306639542e-05,
|
121 |
+
"loss": 2.121,
|
122 |
+
"step": 1900
|
123 |
+
},
|
124 |
+
{
|
125 |
+
"epoch": 0.56,
|
126 |
+
"learning_rate": 1.798339111133779e-05,
|
127 |
+
"loss": 2.115,
|
128 |
+
"step": 2000
|
129 |
+
},
|
130 |
+
{
|
131 |
+
"epoch": 0.56,
|
132 |
+
"eval_gen_len": 20.0,
|
133 |
+
"eval_loss": 1.985213279724121,
|
134 |
+
"eval_rouge1": 21.6401,
|
135 |
+
"eval_rouge2": 5.6588,
|
136 |
+
"eval_rougeL": 21.4503,
|
137 |
+
"eval_rougeLsum": 21.4438,
|
138 |
+
"eval_runtime": 165.0934,
|
139 |
+
"eval_samples_per_second": 42.449,
|
140 |
+
"eval_steps_per_second": 2.653,
|
141 |
+
"step": 2000
|
142 |
+
},
|
143 |
+
{
|
144 |
+
"epoch": 0.59,
|
145 |
+
"learning_rate": 1.2381055741151043e-05,
|
146 |
+
"loss": 2.0857,
|
147 |
+
"step": 2100
|
148 |
+
},
|
149 |
+
{
|
150 |
+
"epoch": 0.62,
|
151 |
+
"learning_rate": 7.538065136536039e-06,
|
152 |
+
"loss": 2.0659,
|
153 |
+
"step": 2200
|
154 |
+
},
|
155 |
+
{
|
156 |
+
"epoch": 0.65,
|
157 |
+
"learning_rate": 3.7446960159146312e-06,
|
158 |
+
"loss": 2.0782,
|
159 |
+
"step": 2300
|
160 |
+
},
|
161 |
+
{
|
162 |
+
"epoch": 0.68,
|
163 |
+
"learning_rate": 1.2283134167178716e-06,
|
164 |
+
"loss": 2.0432,
|
165 |
+
"step": 2400
|
166 |
+
},
|
167 |
+
{
|
168 |
+
"epoch": 0.7,
|
169 |
+
"learning_rate": 1.397430049077326e-07,
|
170 |
+
"loss": 2.0695,
|
171 |
+
"step": 2500
|
172 |
+
},
|
173 |
+
{
|
174 |
+
"epoch": 0.73,
|
175 |
+
"learning_rate": 4.9888693982206995e-05,
|
176 |
+
"loss": 2.1082,
|
177 |
+
"step": 2600
|
178 |
+
},
|
179 |
+
{
|
180 |
+
"epoch": 0.76,
|
181 |
+
"learning_rate": 4.9413728617356034e-05,
|
182 |
+
"loss": 2.1176,
|
183 |
+
"step": 2700
|
184 |
+
},
|
185 |
+
{
|
186 |
+
"epoch": 0.79,
|
187 |
+
"learning_rate": 4.857231009627857e-05,
|
188 |
+
"loss": 2.1424,
|
189 |
+
"step": 2800
|
190 |
+
},
|
191 |
+
{
|
192 |
+
"epoch": 0.82,
|
193 |
+
"learning_rate": 4.737709413672616e-05,
|
194 |
+
"loss": 2.1241,
|
195 |
+
"step": 2900
|
196 |
+
},
|
197 |
+
{
|
198 |
+
"epoch": 0.85,
|
199 |
+
"learning_rate": 4.5846057899240565e-05,
|
200 |
+
"loss": 2.115,
|
201 |
+
"step": 3000
|
202 |
+
},
|
203 |
+
{
|
204 |
+
"epoch": 0.87,
|
205 |
+
"learning_rate": 4.400222959392605e-05,
|
206 |
+
"loss": 2.0883,
|
207 |
+
"step": 3100
|
208 |
+
},
|
209 |
+
{
|
210 |
+
"epoch": 0.9,
|
211 |
+
"learning_rate": 4.187334211473467e-05,
|
212 |
+
"loss": 2.1088,
|
213 |
+
"step": 3200
|
214 |
+
},
|
215 |
+
{
|
216 |
+
"epoch": 0.93,
|
217 |
+
"learning_rate": 3.949141591092745e-05,
|
218 |
+
"loss": 2.0855,
|
219 |
+
"step": 3300
|
220 |
+
},
|
221 |
+
{
|
222 |
+
"epoch": 0.96,
|
223 |
+
"learning_rate": 3.6892277369712686e-05,
|
224 |
+
"loss": 2.0811,
|
225 |
+
"step": 3400
|
226 |
+
},
|
227 |
+
{
|
228 |
+
"epoch": 0.99,
|
229 |
+
"learning_rate": 3.411501995403511e-05,
|
230 |
+
"loss": 2.0632,
|
231 |
+
"step": 3500
|
232 |
+
},
|
233 |
+
{
|
234 |
+
"epoch": 1.01,
|
235 |
+
"learning_rate": 3.1201416200504895e-05,
|
236 |
+
"loss": 1.9746,
|
237 |
+
"step": 3600
|
238 |
+
},
|
239 |
+
{
|
240 |
+
"epoch": 1.04,
|
241 |
+
"learning_rate": 2.8195289421565e-05,
|
242 |
+
"loss": 1.8776,
|
243 |
+
"step": 3700
|
244 |
+
},
|
245 |
+
{
|
246 |
+
"epoch": 1.07,
|
247 |
+
"learning_rate": 2.5141854562081277e-05,
|
248 |
+
"loss": 1.878,
|
249 |
+
"step": 3800
|
250 |
+
},
|
251 |
+
{
|
252 |
+
"epoch": 1.1,
|
253 |
+
"learning_rate": 2.208703812448537e-05,
|
254 |
+
"loss": 1.9068,
|
255 |
+
"step": 3900
|
256 |
+
},
|
257 |
+
{
|
258 |
+
"epoch": 1.13,
|
259 |
+
"learning_rate": 1.9076787391429783e-05,
|
260 |
+
"loss": 1.8943,
|
261 |
+
"step": 4000
|
262 |
+
},
|
263 |
+
{
|
264 |
+
"epoch": 1.13,
|
265 |
+
"eval_gen_len": 20.0,
|
266 |
+
"eval_loss": 1.964289665222168,
|
267 |
+
"eval_rouge1": 21.3418,
|
268 |
+
"eval_rouge2": 5.6223,
|
269 |
+
"eval_rougeL": 21.1288,
|
270 |
+
"eval_rougeLsum": 21.1143,
|
271 |
+
"eval_runtime": 162.0352,
|
272 |
+
"eval_samples_per_second": 43.25,
|
273 |
+
"eval_steps_per_second": 2.703,
|
274 |
+
"step": 4000
|
275 |
+
},
|
276 |
+
{
|
277 |
+
"epoch": 1.16,
|
278 |
+
"learning_rate": 1.6156379335888783e-05,
|
279 |
+
"loss": 1.8808,
|
280 |
+
"step": 4100
|
281 |
+
},
|
282 |
+
{
|
283 |
+
"epoch": 1.18,
|
284 |
+
"learning_rate": 1.3369739613341079e-05,
|
285 |
+
"loss": 1.8741,
|
286 |
+
"step": 4200
|
287 |
+
},
|
288 |
+
{
|
289 |
+
"epoch": 1.21,
|
290 |
+
"learning_rate": 1.0758781879025238e-05,
|
291 |
+
"loss": 1.86,
|
292 |
+
"step": 4300
|
293 |
+
},
|
294 |
+
{
|
295 |
+
"epoch": 1.24,
|
296 |
+
"learning_rate": 8.362777367551548e-06,
|
297 |
+
"loss": 1.8857,
|
298 |
+
"step": 4400
|
299 |
+
},
|
300 |
+
{
|
301 |
+
"epoch": 1.27,
|
302 |
+
"learning_rate": 6.2177642169797586e-06,
|
303 |
+
"loss": 1.8757,
|
304 |
+
"step": 4500
|
305 |
+
},
|
306 |
+
{
|
307 |
+
"epoch": 1.3,
|
308 |
+
"learning_rate": 4.356005421678249e-06,
|
309 |
+
"loss": 1.8509,
|
310 |
+
"step": 4600
|
311 |
+
},
|
312 |
+
{
|
313 |
+
"epoch": 1.32,
|
314 |
+
"learning_rate": 2.8055035668582452e-06,
|
315 |
+
"loss": 1.8304,
|
316 |
+
"step": 4700
|
317 |
+
},
|
318 |
+
{
|
319 |
+
"epoch": 1.35,
|
320 |
+
"learning_rate": 1.589579643627363e-06,
|
321 |
+
"loss": 1.8435,
|
322 |
+
"step": 4800
|
323 |
+
},
|
324 |
+
{
|
325 |
+
"epoch": 1.38,
|
326 |
+
"learning_rate": 7.265222795761219e-07,
|
327 |
+
"loss": 1.888,
|
328 |
+
"step": 4900
|
329 |
+
},
|
330 |
+
{
|
331 |
+
"epoch": 1.41,
|
332 |
+
"learning_rate": 2.2931266079587017e-07,
|
333 |
+
"loss": 1.8392,
|
334 |
+
"step": 5000
|
335 |
+
},
|
336 |
+
{
|
337 |
+
"epoch": 1.44,
|
338 |
+
"learning_rate": 4.99986426423885e-05,
|
339 |
+
"loss": 1.8821,
|
340 |
+
"step": 5100
|
341 |
+
},
|
342 |
+
{
|
343 |
+
"epoch": 1.47,
|
344 |
+
"learning_rate": 4.9935733363756125e-05,
|
345 |
+
"loss": 1.9121,
|
346 |
+
"step": 5200
|
347 |
+
},
|
348 |
+
{
|
349 |
+
"epoch": 1.49,
|
350 |
+
"learning_rate": 4.9779159803948603e-05,
|
351 |
+
"loss": 1.8862,
|
352 |
+
"step": 5300
|
353 |
+
},
|
354 |
+
{
|
355 |
+
"epoch": 1.52,
|
356 |
+
"learning_rate": 4.952951127049067e-05,
|
357 |
+
"loss": 1.9367,
|
358 |
+
"step": 5400
|
359 |
+
},
|
360 |
+
{
|
361 |
+
"epoch": 1.55,
|
362 |
+
"learning_rate": 4.9187727384091566e-05,
|
363 |
+
"loss": 1.9389,
|
364 |
+
"step": 5500
|
365 |
+
},
|
366 |
+
{
|
367 |
+
"epoch": 1.58,
|
368 |
+
"learning_rate": 4.875509454212479e-05,
|
369 |
+
"loss": 1.917,
|
370 |
+
"step": 5600
|
371 |
+
},
|
372 |
+
{
|
373 |
+
"epoch": 1.61,
|
374 |
+
"learning_rate": 4.823324107691887e-05,
|
375 |
+
"loss": 1.9325,
|
376 |
+
"step": 5700
|
377 |
+
},
|
378 |
+
{
|
379 |
+
"epoch": 1.63,
|
380 |
+
"learning_rate": 4.762413112708219e-05,
|
381 |
+
"loss": 1.939,
|
382 |
+
"step": 5800
|
383 |
+
},
|
384 |
+
{
|
385 |
+
"epoch": 1.66,
|
386 |
+
"learning_rate": 4.6930057244928707e-05,
|
387 |
+
"loss": 1.9489,
|
388 |
+
"step": 5900
|
389 |
+
},
|
390 |
+
{
|
391 |
+
"epoch": 1.69,
|
392 |
+
"learning_rate": 4.6153631767828776e-05,
|
393 |
+
"loss": 1.9567,
|
394 |
+
"step": 6000
|
395 |
+
},
|
396 |
+
{
|
397 |
+
"epoch": 1.69,
|
398 |
+
"eval_gen_len": 20.0,
|
399 |
+
"eval_loss": 1.9752851724624634,
|
400 |
+
"eval_rouge1": 21.8045,
|
401 |
+
"eval_rouge2": 5.6422,
|
402 |
+
"eval_rougeL": 21.628,
|
403 |
+
"eval_rougeLsum": 21.6131,
|
404 |
+
"eval_runtime": 162.1464,
|
405 |
+
"eval_samples_per_second": 43.22,
|
406 |
+
"eval_steps_per_second": 2.701,
|
407 |
+
"step": 6000
|
408 |
+
},
|
409 |
+
{
|
410 |
+
"epoch": 1.72,
|
411 |
+
"learning_rate": 4.529777698596109e-05,
|
412 |
+
"loss": 1.9347,
|
413 |
+
"step": 6100
|
414 |
+
},
|
415 |
+
{
|
416 |
+
"epoch": 1.75,
|
417 |
+
"learning_rate": 4.4365714143472324e-05,
|
418 |
+
"loss": 1.9325,
|
419 |
+
"step": 6200
|
420 |
+
},
|
421 |
+
{
|
422 |
+
"epoch": 1.78,
|
423 |
+
"learning_rate": 4.3360951314441554e-05,
|
424 |
+
"loss": 1.9184,
|
425 |
+
"step": 6300
|
426 |
+
},
|
427 |
+
{
|
428 |
+
"epoch": 1.8,
|
429 |
+
"learning_rate": 4.228727019928149e-05,
|
430 |
+
"loss": 1.919,
|
431 |
+
"step": 6400
|
432 |
+
},
|
433 |
+
{
|
434 |
+
"epoch": 1.83,
|
435 |
+
"learning_rate": 4.114871189127209e-05,
|
436 |
+
"loss": 1.9375,
|
437 |
+
"step": 6500
|
438 |
+
},
|
439 |
+
{
|
440 |
+
"epoch": 1.86,
|
441 |
+
"learning_rate": 3.994956166679789e-05,
|
442 |
+
"loss": 1.9609,
|
443 |
+
"step": 6600
|
444 |
+
},
|
445 |
+
{
|
446 |
+
"epoch": 1.89,
|
447 |
+
"learning_rate": 3.869433285653533e-05,
|
448 |
+
"loss": 1.9409,
|
449 |
+
"step": 6700
|
450 |
+
},
|
451 |
+
{
|
452 |
+
"epoch": 1.92,
|
453 |
+
"learning_rate": 3.73877498582952e-05,
|
454 |
+
"loss": 1.9153,
|
455 |
+
"step": 6800
|
456 |
+
},
|
457 |
+
{
|
458 |
+
"epoch": 1.94,
|
459 |
+
"learning_rate": 3.603473035545605e-05,
|
460 |
+
"loss": 1.918,
|
461 |
+
"step": 6900
|
462 |
+
},
|
463 |
+
{
|
464 |
+
"epoch": 1.97,
|
465 |
+
"learning_rate": 3.4640366807914365e-05,
|
466 |
+
"loss": 1.9425,
|
467 |
+
"step": 7000
|
468 |
+
},
|
469 |
+
{
|
470 |
+
"epoch": 2.0,
|
471 |
+
"learning_rate": 3.320990728521537e-05,
|
472 |
+
"loss": 1.918,
|
473 |
+
"step": 7100
|
474 |
+
},
|
475 |
+
{
|
476 |
+
"epoch": 2.03,
|
477 |
+
"learning_rate": 3.174873571400432e-05,
|
478 |
+
"loss": 1.7143,
|
479 |
+
"step": 7200
|
480 |
+
},
|
481 |
+
{
|
482 |
+
"epoch": 2.06,
|
483 |
+
"learning_rate": 3.0262351614142278e-05,
|
484 |
+
"loss": 1.7251,
|
485 |
+
"step": 7300
|
486 |
+
},
|
487 |
+
{
|
488 |
+
"epoch": 2.09,
|
489 |
+
"learning_rate": 2.875634939975517e-05,
|
490 |
+
"loss": 1.7188,
|
491 |
+
"step": 7400
|
492 |
+
},
|
493 |
+
{
|
494 |
+
"epoch": 2.11,
|
495 |
+
"learning_rate": 2.7236397323122172e-05,
|
496 |
+
"loss": 1.732,
|
497 |
+
"step": 7500
|
498 |
+
},
|
499 |
+
{
|
500 |
+
"epoch": 2.14,
|
501 |
+
"learning_rate": 2.570821614065411e-05,
|
502 |
+
"loss": 1.7565,
|
503 |
+
"step": 7600
|
504 |
+
},
|
505 |
+
{
|
506 |
+
"epoch": 2.17,
|
507 |
+
"learning_rate": 2.4177557581258026e-05,
|
508 |
+
"loss": 1.7159,
|
509 |
+
"step": 7700
|
510 |
+
},
|
511 |
+
{
|
512 |
+
"epoch": 2.2,
|
513 |
+
"learning_rate": 2.2650182698128346e-05,
|
514 |
+
"loss": 1.7191,
|
515 |
+
"step": 7800
|
516 |
+
},
|
517 |
+
{
|
518 |
+
"epoch": 2.23,
|
519 |
+
"learning_rate": 2.1131840185443426e-05,
|
520 |
+
"loss": 1.7215,
|
521 |
+
"step": 7900
|
522 |
+
},
|
523 |
+
{
|
524 |
+
"epoch": 2.25,
|
525 |
+
"learning_rate": 1.962824474157885e-05,
|
526 |
+
"loss": 1.7129,
|
527 |
+
"step": 8000
|
528 |
+
},
|
529 |
+
{
|
530 |
+
"epoch": 2.25,
|
531 |
+
"eval_gen_len": 20.0,
|
532 |
+
"eval_loss": 1.9584242105484009,
|
533 |
+
"eval_rouge1": 22.117,
|
534 |
+
"eval_rouge2": 5.7798,
|
535 |
+
"eval_rougeL": 21.9114,
|
536 |
+
"eval_rougeLsum": 21.8886,
|
537 |
+
"eval_runtime": 162.6289,
|
538 |
+
"eval_samples_per_second": 43.092,
|
539 |
+
"eval_steps_per_second": 2.693,
|
540 |
+
"step": 8000
|
541 |
+
},
|
542 |
+
{
|
543 |
+
"epoch": 2.28,
|
544 |
+
"learning_rate": 1.8145055560273016e-05,
|
545 |
+
"loss": 1.6991,
|
546 |
+
"step": 8100
|
547 |
+
},
|
548 |
+
{
|
549 |
+
"epoch": 2.31,
|
550 |
+
"learning_rate": 1.6687855030699798e-05,
|
551 |
+
"loss": 1.7131,
|
552 |
+
"step": 8200
|
553 |
+
},
|
554 |
+
{
|
555 |
+
"epoch": 2.34,
|
556 |
+
"learning_rate": 1.52621277266162e-05,
|
557 |
+
"loss": 1.7091,
|
558 |
+
"step": 8300
|
559 |
+
},
|
560 |
+
{
|
561 |
+
"epoch": 2.37,
|
562 |
+
"learning_rate": 1.3873239763665138e-05,
|
563 |
+
"loss": 1.7208,
|
564 |
+
"step": 8400
|
565 |
+
},
|
566 |
+
{
|
567 |
+
"epoch": 2.4,
|
568 |
+
"learning_rate": 1.2526418602527839e-05,
|
569 |
+
"loss": 1.7373,
|
570 |
+
"step": 8500
|
571 |
+
},
|
572 |
+
{
|
573 |
+
"epoch": 2.42,
|
574 |
+
"learning_rate": 1.1226733373942214e-05,
|
575 |
+
"loss": 1.6905,
|
576 |
+
"step": 8600
|
577 |
+
},
|
578 |
+
{
|
579 |
+
"epoch": 2.45,
|
580 |
+
"learning_rate": 9.979075799639335e-06,
|
581 |
+
"loss": 1.7103,
|
582 |
+
"step": 8700
|
583 |
+
},
|
584 |
+
{
|
585 |
+
"epoch": 2.48,
|
586 |
+
"learning_rate": 8.788141781007439e-06,
|
587 |
+
"loss": 1.7381,
|
588 |
+
"step": 8800
|
589 |
+
},
|
590 |
+
{
|
591 |
+
"epoch": 2.51,
|
592 |
+
"learning_rate": 7.658413724779386e-06,
|
593 |
+
"loss": 1.7005,
|
594 |
+
"step": 8900
|
595 |
+
},
|
596 |
+
{
|
597 |
+
"epoch": 2.54,
|
598 |
+
"learning_rate": 6.594143672265889e-06,
|
599 |
+
"loss": 1.692,
|
600 |
+
"step": 9000
|
601 |
+
},
|
602 |
+
{
|
603 |
+
"epoch": 2.56,
|
604 |
+
"learning_rate": 5.599337295632133e-06,
|
605 |
+
"loss": 1.6929,
|
606 |
+
"step": 9100
|
607 |
+
},
|
608 |
+
{
|
609 |
+
"epoch": 2.59,
|
610 |
+
"learning_rate": 4.677738821452162e-06,
|
611 |
+
"loss": 1.7245,
|
612 |
+
"step": 9200
|
613 |
+
},
|
614 |
+
{
|
615 |
+
"epoch": 2.62,
|
616 |
+
"learning_rate": 3.832816938285592e-06,
|
617 |
+
"loss": 1.6818,
|
618 |
+
"step": 9300
|
619 |
+
},
|
620 |
+
{
|
621 |
+
"epoch": 2.65,
|
622 |
+
"learning_rate": 3.0677517413170523e-06,
|
623 |
+
"loss": 1.7,
|
624 |
+
"step": 9400
|
625 |
+
},
|
626 |
+
{
|
627 |
+
"epoch": 2.68,
|
628 |
+
"learning_rate": 2.385422763195976e-06,
|
629 |
+
"loss": 1.6961,
|
630 |
+
"step": 9500
|
631 |
+
},
|
632 |
+
{
|
633 |
+
"epoch": 2.71,
|
634 |
+
"learning_rate": 1.7883981361259272e-06,
|
635 |
+
"loss": 1.7067,
|
636 |
+
"step": 9600
|
637 |
+
},
|
638 |
+
{
|
639 |
+
"epoch": 2.73,
|
640 |
+
"learning_rate": 1.2789249259948616e-06,
|
641 |
+
"loss": 1.6975,
|
642 |
+
"step": 9700
|
643 |
+
},
|
644 |
+
{
|
645 |
+
"epoch": 2.76,
|
646 |
+
"learning_rate": 8.589206749264998e-07,
|
647 |
+
"loss": 1.7217,
|
648 |
+
"step": 9800
|
649 |
+
},
|
650 |
+
{
|
651 |
+
"epoch": 2.79,
|
652 |
+
"learning_rate": 5.29966184084788e-07,
|
653 |
+
"loss": 1.7213,
|
654 |
+
"step": 9900
|
655 |
+
},
|
656 |
+
{
|
657 |
+
"epoch": 2.82,
|
658 |
+
"learning_rate": 2.932995638952263e-07,
|
659 |
+
"loss": 1.7072,
|
660 |
+
"step": 10000
|
661 |
+
},
|
662 |
+
{
|
663 |
+
"epoch": 2.82,
|
664 |
+
"eval_gen_len": 20.0,
|
665 |
+
"eval_loss": 1.933449387550354,
|
666 |
+
"eval_rouge1": 22.3137,
|
667 |
+
"eval_rouge2": 5.8376,
|
668 |
+
"eval_rougeL": 22.1264,
|
669 |
+
"eval_rougeLsum": 22.1274,
|
670 |
+
"eval_runtime": 162.4524,
|
671 |
+
"eval_samples_per_second": 43.139,
|
672 |
+
"eval_steps_per_second": 2.696,
|
673 |
+
"step": 10000
|
674 |
+
},
|
675 |
+
{
|
676 |
+
"epoch": 2.85,
|
677 |
+
"learning_rate": 1.5078315448915942e-07,
|
678 |
+
"loss": 1.6934,
|
679 |
+
"step": 10100
|
680 |
+
},
|
681 |
+
{
|
682 |
+
"epoch": 2.87,
|
683 |
+
"learning_rate": 1.0007514846990862e-07,
|
684 |
+
"loss": 1.6952,
|
685 |
+
"step": 10200
|
686 |
+
},
|
687 |
+
{
|
688 |
+
"epoch": 2.9,
|
689 |
+
"learning_rate": 4.998917939712543e-05,
|
690 |
+
"loss": 1.757,
|
691 |
+
"step": 10300
|
692 |
+
},
|
693 |
+
{
|
694 |
+
"epoch": 2.93,
|
695 |
+
"learning_rate": 4.995490569865264e-05,
|
696 |
+
"loss": 1.7591,
|
697 |
+
"step": 10400
|
698 |
+
},
|
699 |
+
{
|
700 |
+
"epoch": 2.96,
|
701 |
+
"learning_rate": 4.989719237466243e-05,
|
702 |
+
"loss": 1.7812,
|
703 |
+
"step": 10500
|
704 |
+
},
|
705 |
+
{
|
706 |
+
"epoch": 2.99,
|
707 |
+
"learning_rate": 4.9816093742915244e-05,
|
708 |
+
"loss": 1.7639,
|
709 |
+
"step": 10600
|
710 |
+
},
|
711 |
+
{
|
712 |
+
"epoch": 3.02,
|
713 |
+
"learning_rate": 4.9711686130604656e-05,
|
714 |
+
"loss": 1.7264,
|
715 |
+
"step": 10700
|
716 |
+
},
|
717 |
+
{
|
718 |
+
"epoch": 3.04,
|
719 |
+
"learning_rate": 4.9584067802520866e-05,
|
720 |
+
"loss": 1.6739,
|
721 |
+
"step": 10800
|
722 |
+
},
|
723 |
+
{
|
724 |
+
"epoch": 3.07,
|
725 |
+
"learning_rate": 4.943497980862275e-05,
|
726 |
+
"loss": 1.6629,
|
727 |
+
"step": 10900
|
728 |
+
},
|
729 |
+
{
|
730 |
+
"epoch": 3.1,
|
731 |
+
"learning_rate": 4.926155082525451e-05,
|
732 |
+
"loss": 1.6756,
|
733 |
+
"step": 11000
|
734 |
+
},
|
735 |
+
{
|
736 |
+
"epoch": 3.13,
|
737 |
+
"learning_rate": 4.906533477770676e-05,
|
738 |
+
"loss": 1.6823,
|
739 |
+
"step": 11100
|
740 |
+
},
|
741 |
+
{
|
742 |
+
"epoch": 3.16,
|
743 |
+
"learning_rate": 4.884651633765546e-05,
|
744 |
+
"loss": 1.6432,
|
745 |
+
"step": 11200
|
746 |
+
},
|
747 |
+
{
|
748 |
+
"epoch": 3.18,
|
749 |
+
"learning_rate": 4.860530144935725e-05,
|
750 |
+
"loss": 1.6803,
|
751 |
+
"step": 11300
|
752 |
+
},
|
753 |
+
{
|
754 |
+
"epoch": 3.21,
|
755 |
+
"learning_rate": 4.834191713582197e-05,
|
756 |
+
"loss": 1.6985,
|
757 |
+
"step": 11400
|
758 |
+
},
|
759 |
+
{
|
760 |
+
"epoch": 3.24,
|
761 |
+
"learning_rate": 4.8056611285146466e-05,
|
762 |
+
"loss": 1.7087,
|
763 |
+
"step": 11500
|
764 |
+
},
|
765 |
+
{
|
766 |
+
"epoch": 3.27,
|
767 |
+
"learning_rate": 4.7749652417211076e-05,
|
768 |
+
"loss": 1.7142,
|
769 |
+
"step": 11600
|
770 |
+
},
|
771 |
+
{
|
772 |
+
"epoch": 3.3,
|
773 |
+
"learning_rate": 4.742132943095807e-05,
|
774 |
+
"loss": 1.7135,
|
775 |
+
"step": 11700
|
776 |
+
},
|
777 |
+
{
|
778 |
+
"epoch": 3.33,
|
779 |
+
"learning_rate": 4.70719513324901e-05,
|
780 |
+
"loss": 1.7136,
|
781 |
+
"step": 11800
|
782 |
+
},
|
783 |
+
{
|
784 |
+
"epoch": 3.35,
|
785 |
+
"learning_rate": 4.670184694424442e-05,
|
786 |
+
"loss": 1.7098,
|
787 |
+
"step": 11900
|
788 |
+
},
|
789 |
+
{
|
790 |
+
"epoch": 3.38,
|
791 |
+
"learning_rate": 4.63113645955168e-05,
|
792 |
+
"loss": 1.7184,
|
793 |
+
"step": 12000
|
794 |
+
},
|
795 |
+
{
|
796 |
+
"epoch": 3.38,
|
797 |
+
"eval_gen_len": 20.0,
|
798 |
+
"eval_loss": 2.0014004707336426,
|
799 |
+
"eval_rouge1": 21.452,
|
800 |
+
"eval_rouge2": 5.494,
|
801 |
+
"eval_rougeL": 21.3143,
|
802 |
+
"eval_rougeLsum": 21.3158,
|
803 |
+
"eval_runtime": 162.8289,
|
804 |
+
"eval_samples_per_second": 43.039,
|
805 |
+
"eval_steps_per_second": 2.69,
|
806 |
+
"step": 12000
|
807 |
+
},
|
808 |
+
{
|
809 |
+
"epoch": 3.41,
|
810 |
+
"learning_rate": 4.590087179462613e-05,
|
811 |
+
"loss": 1.7121,
|
812 |
+
"step": 12100
|
813 |
+
},
|
814 |
+
{
|
815 |
+
"epoch": 3.44,
|
816 |
+
"learning_rate": 4.547075488302845e-05,
|
817 |
+
"loss": 1.7064,
|
818 |
+
"step": 12200
|
819 |
+
},
|
820 |
+
{
|
821 |
+
"epoch": 3.47,
|
822 |
+
"learning_rate": 4.502141867170594e-05,
|
823 |
+
"loss": 1.7182,
|
824 |
+
"step": 12300
|
825 |
+
},
|
826 |
+
{
|
827 |
+
"epoch": 3.49,
|
828 |
+
"learning_rate": 4.455328606017294e-05,
|
829 |
+
"loss": 1.7126,
|
830 |
+
"step": 12400
|
831 |
+
},
|
832 |
+
{
|
833 |
+
"epoch": 3.52,
|
834 |
+
"learning_rate": 4.4066797638457747e-05,
|
835 |
+
"loss": 1.7135,
|
836 |
+
"step": 12500
|
837 |
+
},
|
838 |
+
{
|
839 |
+
"epoch": 3.55,
|
840 |
+
"learning_rate": 4.3562411272434736e-05,
|
841 |
+
"loss": 1.7224,
|
842 |
+
"step": 12600
|
843 |
+
},
|
844 |
+
{
|
845 |
+
"epoch": 3.58,
|
846 |
+
"learning_rate": 4.304060167289698e-05,
|
847 |
+
"loss": 1.7393,
|
848 |
+
"step": 12700
|
849 |
+
},
|
850 |
+
{
|
851 |
+
"epoch": 3.61,
|
852 |
+
"learning_rate": 4.250185994877508e-05,
|
853 |
+
"loss": 1.7153,
|
854 |
+
"step": 12800
|
855 |
+
},
|
856 |
+
{
|
857 |
+
"epoch": 3.64,
|
858 |
+
"learning_rate": 4.194669314492266e-05,
|
859 |
+
"loss": 1.6978,
|
860 |
+
"step": 12900
|
861 |
+
},
|
862 |
+
{
|
863 |
+
"epoch": 3.66,
|
864 |
+
"learning_rate": 4.137562376490343e-05,
|
865 |
+
"loss": 1.7238,
|
866 |
+
"step": 13000
|
867 |
+
},
|
868 |
+
{
|
869 |
+
"epoch": 3.69,
|
870 |
+
"learning_rate": 4.07891892792292e-05,
|
871 |
+
"loss": 1.73,
|
872 |
+
"step": 13100
|
873 |
+
},
|
874 |
+
{
|
875 |
+
"epoch": 3.72,
|
876 |
+
"learning_rate": 4.0187941619511394e-05,
|
877 |
+
"loss": 1.7077,
|
878 |
+
"step": 13200
|
879 |
+
},
|
880 |
+
{
|
881 |
+
"epoch": 3.75,
|
882 |
+
"learning_rate": 3.957244665900235e-05,
|
883 |
+
"loss": 1.696,
|
884 |
+
"step": 13300
|
885 |
+
},
|
886 |
+
{
|
887 |
+
"epoch": 3.78,
|
888 |
+
"learning_rate": 3.8943283680015245e-05,
|
889 |
+
"loss": 1.7197,
|
890 |
+
"step": 13400
|
891 |
+
},
|
892 |
+
{
|
893 |
+
"epoch": 3.8,
|
894 |
+
"learning_rate": 3.830104482872382e-05,
|
895 |
+
"loss": 1.755,
|
896 |
+
"step": 13500
|
897 |
+
},
|
898 |
+
{
|
899 |
+
"epoch": 3.83,
|
900 |
+
"learning_rate": 3.764633455785513e-05,
|
901 |
+
"loss": 1.7267,
|
902 |
+
"step": 13600
|
903 |
+
},
|
904 |
+
{
|
905 |
+
"epoch": 3.86,
|
906 |
+
"learning_rate": 3.697976905779984e-05,
|
907 |
+
"loss": 1.7325,
|
908 |
+
"step": 13700
|
909 |
+
},
|
910 |
+
{
|
911 |
+
"epoch": 3.89,
|
912 |
+
"learning_rate": 3.630197567667534e-05,
|
913 |
+
"loss": 1.7396,
|
914 |
+
"step": 13800
|
915 |
+
},
|
916 |
+
{
|
917 |
+
"epoch": 3.92,
|
918 |
+
"learning_rate": 3.5613592329887714e-05,
|
919 |
+
"loss": 1.7154,
|
920 |
+
"step": 13900
|
921 |
+
},
|
922 |
+
{
|
923 |
+
"epoch": 3.95,
|
924 |
+
"learning_rate": 3.491526689974802e-05,
|
925 |
+
"loss": 1.7372,
|
926 |
+
"step": 14000
|
927 |
+
},
|
928 |
+
{
|
929 |
+
"epoch": 3.95,
|
930 |
+
"eval_gen_len": 20.0,
|
931 |
+
"eval_loss": 1.9770143032073975,
|
932 |
+
"eval_rouge1": 22.273,
|
933 |
+
"eval_rouge2": 5.7637,
|
934 |
+
"eval_rougeL": 22.1,
|
935 |
+
"eval_rougeLsum": 22.0813,
|
936 |
+
"eval_runtime": 163.6202,
|
937 |
+
"eval_samples_per_second": 42.831,
|
938 |
+
"eval_steps_per_second": 2.677,
|
939 |
+
"step": 14000
|
940 |
+
},
|
941 |
+
{
|
942 |
+
"epoch": 3.97,
|
943 |
+
"learning_rate": 3.42076566257082e-05,
|
944 |
+
"loss": 1.756,
|
945 |
+
"step": 14100
|
946 |
+
},
|
947 |
+
{
|
948 |
+
"epoch": 4.0,
|
949 |
+
"learning_rate": 3.349142748579026e-05,
|
950 |
+
"loss": 1.7312,
|
951 |
+
"step": 14200
|
952 |
+
},
|
953 |
+
{
|
954 |
+
"epoch": 4.03,
|
955 |
+
"learning_rate": 3.276725356979111e-05,
|
956 |
+
"loss": 1.4431,
|
957 |
+
"step": 14300
|
958 |
+
},
|
959 |
+
{
|
960 |
+
"epoch": 4.06,
|
961 |
+
"learning_rate": 3.2035816444852827e-05,
|
962 |
+
"loss": 1.4696,
|
963 |
+
"step": 14400
|
964 |
+
},
|
965 |
+
{
|
966 |
+
"epoch": 4.09,
|
967 |
+
"learning_rate": 3.1297804513995484e-05,
|
968 |
+
"loss": 1.4713,
|
969 |
+
"step": 14500
|
970 |
+
},
|
971 |
+
{
|
972 |
+
"epoch": 4.11,
|
973 |
+
"learning_rate": 3.055391236821639e-05,
|
974 |
+
"loss": 1.4552,
|
975 |
+
"step": 14600
|
976 |
+
},
|
977 |
+
{
|
978 |
+
"epoch": 4.14,
|
979 |
+
"learning_rate": 2.9804840132765305e-05,
|
980 |
+
"loss": 1.4596,
|
981 |
+
"step": 14700
|
982 |
+
},
|
983 |
+
{
|
984 |
+
"epoch": 4.17,
|
985 |
+
"learning_rate": 2.905129280821106e-05,
|
986 |
+
"loss": 1.4558,
|
987 |
+
"step": 14800
|
988 |
+
},
|
989 |
+
{
|
990 |
+
"epoch": 4.2,
|
991 |
+
"learning_rate": 2.8293979606919723e-05,
|
992 |
+
"loss": 1.4785,
|
993 |
+
"step": 14900
|
994 |
+
},
|
995 |
+
{
|
996 |
+
"epoch": 4.23,
|
997 |
+
"learning_rate": 2.7533613285568734e-05,
|
998 |
+
"loss": 1.4652,
|
999 |
+
"step": 15000
|
1000 |
+
},
|
1001 |
+
{
|
1002 |
+
"epoch": 4.26,
|
1003 |
+
"learning_rate": 2.6778545727506706e-05,
|
1004 |
+
"loss": 1.4952,
|
1005 |
+
"step": 15100
|
1006 |
+
},
|
1007 |
+
{
|
1008 |
+
"epoch": 4.28,
|
1009 |
+
"learning_rate": 2.6014234894273854e-05,
|
1010 |
+
"loss": 1.4794,
|
1011 |
+
"step": 15200
|
1012 |
+
},
|
1013 |
+
{
|
1014 |
+
"epoch": 4.31,
|
1015 |
+
"learning_rate": 2.5249016556908847e-05,
|
1016 |
+
"loss": 1.4764,
|
1017 |
+
"step": 15300
|
1018 |
+
},
|
1019 |
+
{
|
1020 |
+
"epoch": 4.34,
|
1021 |
+
"learning_rate": 2.448361091212649e-05,
|
1022 |
+
"loss": 1.4685,
|
1023 |
+
"step": 15400
|
1024 |
+
},
|
1025 |
+
{
|
1026 |
+
"epoch": 4.37,
|
1027 |
+
"learning_rate": 2.3718738332928784e-05,
|
1028 |
+
"loss": 1.4858,
|
1029 |
+
"step": 15500
|
1030 |
+
},
|
1031 |
+
{
|
1032 |
+
"epoch": 4.4,
|
1033 |
+
"learning_rate": 2.295511869061505e-05,
|
1034 |
+
"loss": 1.4953,
|
1035 |
+
"step": 15600
|
1036 |
+
},
|
1037 |
+
{
|
1038 |
+
"epoch": 4.43,
|
1039 |
+
"learning_rate": 2.219347067726429e-05,
|
1040 |
+
"loss": 1.4836,
|
1041 |
+
"step": 15700
|
1042 |
+
},
|
1043 |
+
{
|
1044 |
+
"epoch": 4.45,
|
1045 |
+
"learning_rate": 2.143451112932731e-05,
|
1046 |
+
"loss": 1.4926,
|
1047 |
+
"step": 15800
|
1048 |
+
},
|
1049 |
+
{
|
1050 |
+
"epoch": 4.48,
|
1051 |
+
"learning_rate": 2.0678954352965396e-05,
|
1052 |
+
"loss": 1.4652,
|
1053 |
+
"step": 15900
|
1054 |
+
},
|
1055 |
+
{
|
1056 |
+
"epoch": 4.51,
|
1057 |
+
"learning_rate": 1.992751145177032e-05,
|
1058 |
+
"loss": 1.4724,
|
1059 |
+
"step": 16000
|
1060 |
+
},
|
1061 |
+
{
|
1062 |
+
"epoch": 4.51,
|
1063 |
+
"eval_gen_len": 20.0,
|
1064 |
+
"eval_loss": 2.019371509552002,
|
1065 |
+
"eval_rouge1": 22.0979,
|
1066 |
+
"eval_rouge2": 5.7144,
|
1067 |
+
"eval_rougeL": 21.9045,
|
1068 |
+
"eval_rougeLsum": 21.8765,
|
1069 |
+
"eval_runtime": 162.8312,
|
1070 |
+
"eval_samples_per_second": 43.038,
|
1071 |
+
"eval_steps_per_second": 2.69,
|
1072 |
+
"step": 16000
|
1073 |
+
},
|
1074 |
+
{
|
1075 |
+
"epoch": 4.54,
|
1076 |
+
"learning_rate": 1.9180889657498532e-05,
|
1077 |
+
"loss": 1.4723,
|
1078 |
+
"step": 16100
|
1079 |
+
},
|
1080 |
+
{
|
1081 |
+
"epoch": 4.57,
|
1082 |
+
"learning_rate": 1.843979166444942e-05,
|
1083 |
+
"loss": 1.475,
|
1084 |
+
"step": 16200
|
1085 |
+
},
|
1086 |
+
{
|
1087 |
+
"epoch": 4.59,
|
1088 |
+
"learning_rate": 1.770491496811398e-05,
|
1089 |
+
"loss": 1.4657,
|
1090 |
+
"step": 16300
|
1091 |
+
},
|
1092 |
+
{
|
1093 |
+
"epoch": 4.62,
|
1094 |
+
"learning_rate": 1.6976951208716527e-05,
|
1095 |
+
"loss": 1.466,
|
1096 |
+
"step": 16400
|
1097 |
+
},
|
1098 |
+
{
|
1099 |
+
"epoch": 4.65,
|
1100 |
+
"learning_rate": 1.625658552026706e-05,
|
1101 |
+
"loss": 1.4649,
|
1102 |
+
"step": 16500
|
1103 |
+
},
|
1104 |
+
{
|
1105 |
+
"epoch": 4.68,
|
1106 |
+
"learning_rate": 1.554449588573719e-05,
|
1107 |
+
"loss": 1.4792,
|
1108 |
+
"step": 16600
|
1109 |
+
},
|
1110 |
+
{
|
1111 |
+
"epoch": 4.71,
|
1112 |
+
"learning_rate": 1.4841352498966237e-05,
|
1113 |
+
"loss": 1.4477,
|
1114 |
+
"step": 16700
|
1115 |
+
},
|
1116 |
+
{
|
1117 |
+
"epoch": 4.74,
|
1118 |
+
"learning_rate": 1.4147817133898276e-05,
|
1119 |
+
"loss": 1.4744,
|
1120 |
+
"step": 16800
|
1121 |
+
},
|
1122 |
+
{
|
1123 |
+
"epoch": 4.76,
|
1124 |
+
"learning_rate": 1.346454252174365e-05,
|
1125 |
+
"loss": 1.4915,
|
1126 |
+
"step": 16900
|
1127 |
+
},
|
1128 |
+
{
|
1129 |
+
"epoch": 4.79,
|
1130 |
+
"learning_rate": 1.2792171736651217e-05,
|
1131 |
+
"loss": 1.4767,
|
1132 |
+
"step": 17000
|
1133 |
+
},
|
1134 |
+
{
|
1135 |
+
"epoch": 4.82,
|
1136 |
+
"learning_rate": 1.213133759046946e-05,
|
1137 |
+
"loss": 1.483,
|
1138 |
+
"step": 17100
|
1139 |
+
},
|
1140 |
+
{
|
1141 |
+
"epoch": 4.85,
|
1142 |
+
"learning_rate": 1.148908659327833e-05,
|
1143 |
+
"loss": 1.4579,
|
1144 |
+
"step": 17200
|
1145 |
+
},
|
1146 |
+
{
|
1147 |
+
"epoch": 4.88,
|
1148 |
+
"learning_rate": 1.0853049469504679e-05,
|
1149 |
+
"loss": 1.4791,
|
1150 |
+
"step": 17300
|
1151 |
+
},
|
1152 |
+
{
|
1153 |
+
"epoch": 4.9,
|
1154 |
+
"learning_rate": 1.0230374018646024e-05,
|
1155 |
+
"loss": 1.4593,
|
1156 |
+
"step": 17400
|
1157 |
+
},
|
1158 |
+
{
|
1159 |
+
"epoch": 4.93,
|
1160 |
+
"learning_rate": 9.621646281041709e-06,
|
1161 |
+
"loss": 1.4629,
|
1162 |
+
"step": 17500
|
1163 |
+
},
|
1164 |
+
{
|
1165 |
+
"epoch": 4.96,
|
1166 |
+
"learning_rate": 9.027439169931561e-06,
|
1167 |
+
"loss": 1.4677,
|
1168 |
+
"step": 17600
|
1169 |
+
},
|
1170 |
+
{
|
1171 |
+
"epoch": 4.99,
|
1172 |
+
"learning_rate": 8.448311932250029e-06,
|
1173 |
+
"loss": 1.4382,
|
1174 |
+
"step": 17700
|
1175 |
+
},
|
1176 |
+
{
|
1177 |
+
"epoch": 5.02,
|
1178 |
+
"learning_rate": 7.884809622282473e-06,
|
1179 |
+
"loss": 1.369,
|
1180 |
+
"step": 17800
|
1181 |
+
},
|
1182 |
+
{
|
1183 |
+
"epoch": 5.05,
|
1184 |
+
"learning_rate": 7.337462588679232e-06,
|
1185 |
+
"loss": 1.3049,
|
1186 |
+
"step": 17900
|
1187 |
+
},
|
1188 |
+
{
|
1189 |
+
"epoch": 5.07,
|
1190 |
+
"learning_rate": 6.806785975309991e-06,
|
1191 |
+
"loss": 1.3297,
|
1192 |
+
"step": 18000
|
1193 |
+
},
|
1194 |
+
{
|
1195 |
+
"epoch": 5.07,
|
1196 |
+
"eval_gen_len": 20.0,
|
1197 |
+
"eval_loss": 2.037019729614258,
|
1198 |
+
"eval_rouge1": 21.9,
|
1199 |
+
"eval_rouge2": 5.533,
|
1200 |
+
"eval_rougeL": 21.7042,
|
1201 |
+
"eval_rougeLsum": 21.7021,
|
1202 |
+
"eval_runtime": 162.394,
|
1203 |
+
"eval_samples_per_second": 43.154,
|
1204 |
+
"eval_steps_per_second": 2.697,
|
1205 |
+
"step": 18000
|
1206 |
+
},
|
1207 |
+
{
|
1208 |
+
"epoch": 5.1,
|
1209 |
+
"learning_rate": 6.293279236428415e-06,
|
1210 |
+
"loss": 1.3197,
|
1211 |
+
"step": 18100
|
1212 |
+
},
|
1213 |
+
{
|
1214 |
+
"epoch": 5.13,
|
1215 |
+
"learning_rate": 5.7974256666032834e-06,
|
1216 |
+
"loss": 1.2993,
|
1217 |
+
"step": 18200
|
1218 |
+
},
|
1219 |
+
{
|
1220 |
+
"epoch": 5.16,
|
1221 |
+
"learning_rate": 5.31969194585855e-06,
|
1222 |
+
"loss": 1.3202,
|
1223 |
+
"step": 18300
|
1224 |
+
},
|
1225 |
+
{
|
1226 |
+
"epoch": 5.19,
|
1227 |
+
"learning_rate": 4.8605277004504475e-06,
|
1228 |
+
"loss": 1.2897,
|
1229 |
+
"step": 18400
|
1230 |
+
},
|
1231 |
+
{
|
1232 |
+
"epoch": 5.21,
|
1233 |
+
"learning_rate": 4.42036507969501e-06,
|
1234 |
+
"loss": 1.3157,
|
1235 |
+
"step": 18500
|
1236 |
+
},
|
1237 |
+
{
|
1238 |
+
"epoch": 5.24,
|
1239 |
+
"learning_rate": 3.999618349244242e-06,
|
1240 |
+
"loss": 1.3208,
|
1241 |
+
"step": 18600
|
1242 |
+
},
|
1243 |
+
{
|
1244 |
+
"epoch": 5.27,
|
1245 |
+
"learning_rate": 3.5986835011937814e-06,
|
1246 |
+
"loss": 1.3238,
|
1247 |
+
"step": 18700
|
1248 |
+
},
|
1249 |
+
{
|
1250 |
+
"epoch": 5.3,
|
1251 |
+
"learning_rate": 3.2179378813890276e-06,
|
1252 |
+
"loss": 1.3285,
|
1253 |
+
"step": 18800
|
1254 |
+
},
|
1255 |
+
{
|
1256 |
+
"epoch": 5.33,
|
1257 |
+
"learning_rate": 2.857739834280396e-06,
|
1258 |
+
"loss": 1.3075,
|
1259 |
+
"step": 18900
|
1260 |
+
},
|
1261 |
+
{
|
1262 |
+
"epoch": 5.36,
|
1263 |
+
"learning_rate": 2.5184283656621174e-06,
|
1264 |
+
"loss": 1.3187,
|
1265 |
+
"step": 19000
|
1266 |
+
},
|
1267 |
+
{
|
1268 |
+
"epoch": 5.38,
|
1269 |
+
"learning_rate": 2.2003228236118087e-06,
|
1270 |
+
"loss": 1.3019,
|
1271 |
+
"step": 19100
|
1272 |
+
},
|
1273 |
+
{
|
1274 |
+
"epoch": 5.41,
|
1275 |
+
"learning_rate": 1.9037225979312562e-06,
|
1276 |
+
"loss": 1.3156,
|
1277 |
+
"step": 19200
|
1278 |
+
},
|
1279 |
+
{
|
1280 |
+
"epoch": 5.44,
|
1281 |
+
"learning_rate": 1.631546296469755e-06,
|
1282 |
+
"loss": 1.2991,
|
1283 |
+
"step": 19300
|
1284 |
+
},
|
1285 |
+
{
|
1286 |
+
"epoch": 5.47,
|
1287 |
+
"learning_rate": 1.3785520064985022e-06,
|
1288 |
+
"loss": 1.2969,
|
1289 |
+
"step": 19400
|
1290 |
+
},
|
1291 |
+
{
|
1292 |
+
"epoch": 5.5,
|
1293 |
+
"learning_rate": 1.1478364548263003e-06,
|
1294 |
+
"loss": 1.3149,
|
1295 |
+
"step": 19500
|
1296 |
+
},
|
1297 |
+
{
|
1298 |
+
"epoch": 5.52,
|
1299 |
+
"learning_rate": 9.396167828548325e-07,
|
1300 |
+
"loss": 1.2895,
|
1301 |
+
"step": 19600
|
1302 |
+
},
|
1303 |
+
{
|
1304 |
+
"epoch": 5.55,
|
1305 |
+
"learning_rate": 7.540889596512168e-07,
|
1306 |
+
"loss": 1.3152,
|
1307 |
+
"step": 19700
|
1308 |
+
},
|
1309 |
+
{
|
1310 |
+
"epoch": 5.58,
|
1311 |
+
"learning_rate": 5.914275975087762e-07,
|
1312 |
+
"loss": 1.3272,
|
1313 |
+
"step": 19800
|
1314 |
+
},
|
1315 |
+
{
|
1316 |
+
"epoch": 5.61,
|
1317 |
+
"learning_rate": 4.517857876080481e-07,
|
1318 |
+
"loss": 1.3142,
|
1319 |
+
"step": 19900
|
1320 |
+
},
|
1321 |
+
{
|
1322 |
+
"epoch": 5.64,
|
1323 |
+
"learning_rate": 3.352949559327476e-07,
|
1324 |
+
"loss": 1.3186,
|
1325 |
+
"step": 20000
|
1326 |
+
},
|
1327 |
+
{
|
1328 |
+
"epoch": 5.64,
|
1329 |
+
"eval_gen_len": 20.0,
|
1330 |
+
"eval_loss": 2.039311170578003,
|
1331 |
+
"eval_rouge1": 21.585,
|
1332 |
+
"eval_rouge2": 5.4626,
|
1333 |
+
"eval_rougeL": 21.4273,
|
1334 |
+
"eval_rougeLsum": 21.4329,
|
1335 |
+
"eval_runtime": 162.2232,
|
1336 |
+
"eval_samples_per_second": 43.2,
|
1337 |
+
"eval_steps_per_second": 2.7,
|
1338 |
+
"step": 20000
|
1339 |
+
},
|
1340 |
+
{
|
1341 |
+
"epoch": 5.67,
|
1342 |
+
"learning_rate": 2.4206473957621197e-07,
|
1343 |
+
"loss": 1.3001,
|
1344 |
+
"step": 20100
|
1345 |
+
},
|
1346 |
+
{
|
1347 |
+
"epoch": 5.69,
|
1348 |
+
"learning_rate": 1.721828835548135e-07,
|
1349 |
+
"loss": 1.3033,
|
1350 |
+
"step": 20200
|
1351 |
+
},
|
1352 |
+
{
|
1353 |
+
"epoch": 5.72,
|
1354 |
+
"learning_rate": 1.2571515822542734e-07,
|
1355 |
+
"loss": 1.3053,
|
1356 |
+
"step": 20300
|
1357 |
+
},
|
1358 |
+
{
|
1359 |
+
"epoch": 5.75,
|
1360 |
+
"learning_rate": 1.0270529738465452e-07,
|
1361 |
+
"loss": 1.3123,
|
1362 |
+
"step": 20400
|
1363 |
+
},
|
1364 |
+
{
|
1365 |
+
"epoch": 5.78,
|
1366 |
+
"learning_rate": 4.9999206248096876e-05,
|
1367 |
+
"loss": 1.3399,
|
1368 |
+
"step": 20500
|
1369 |
+
},
|
1370 |
+
{
|
1371 |
+
"epoch": 5.81,
|
1372 |
+
"learning_rate": 4.999321815444586e-05,
|
1373 |
+
"loss": 1.3654,
|
1374 |
+
"step": 20600
|
1375 |
+
},
|
1376 |
+
{
|
1377 |
+
"epoch": 5.83,
|
1378 |
+
"learning_rate": 4.9981360794562834e-05,
|
1379 |
+
"loss": 1.3834,
|
1380 |
+
"step": 20700
|
1381 |
+
},
|
1382 |
+
{
|
1383 |
+
"epoch": 5.86,
|
1384 |
+
"learning_rate": 4.996363695854496e-05,
|
1385 |
+
"loss": 1.4284,
|
1386 |
+
"step": 20800
|
1387 |
+
},
|
1388 |
+
{
|
1389 |
+
"epoch": 5.89,
|
1390 |
+
"learning_rate": 4.994005081690109e-05,
|
1391 |
+
"loss": 1.4216,
|
1392 |
+
"step": 20900
|
1393 |
+
},
|
1394 |
+
{
|
1395 |
+
"epoch": 5.92,
|
1396 |
+
"learning_rate": 4.991060791957044e-05,
|
1397 |
+
"loss": 1.4262,
|
1398 |
+
"step": 21000
|
1399 |
+
},
|
1400 |
+
{
|
1401 |
+
"epoch": 5.95,
|
1402 |
+
"learning_rate": 4.987531519461667e-05,
|
1403 |
+
"loss": 1.4331,
|
1404 |
+
"step": 21100
|
1405 |
+
},
|
1406 |
+
{
|
1407 |
+
"epoch": 5.98,
|
1408 |
+
"learning_rate": 4.983418094659765e-05,
|
1409 |
+
"loss": 1.4425,
|
1410 |
+
"step": 21200
|
1411 |
+
},
|
1412 |
+
{
|
1413 |
+
"epoch": 6.0,
|
1414 |
+
"learning_rate": 4.978721485461138e-05,
|
1415 |
+
"loss": 1.4284,
|
1416 |
+
"step": 21300
|
1417 |
+
},
|
1418 |
+
{
|
1419 |
+
"epoch": 6.03,
|
1420 |
+
"learning_rate": 4.973554067339494e-05,
|
1421 |
+
"loss": 1.3686,
|
1422 |
+
"step": 21400
|
1423 |
+
},
|
1424 |
+
{
|
1425 |
+
"epoch": 6.06,
|
1426 |
+
"learning_rate": 4.967706145407849e-05,
|
1427 |
+
"loss": 1.3545,
|
1428 |
+
"step": 21500
|
1429 |
+
},
|
1430 |
+
{
|
1431 |
+
"epoch": 6.09,
|
1432 |
+
"learning_rate": 4.961278736181136e-05,
|
1433 |
+
"loss": 1.3899,
|
1434 |
+
"step": 21600
|
1435 |
+
},
|
1436 |
+
{
|
1437 |
+
"epoch": 6.12,
|
1438 |
+
"learning_rate": 4.954273352061473e-05,
|
1439 |
+
"loss": 1.3801,
|
1440 |
+
"step": 21700
|
1441 |
+
},
|
1442 |
+
{
|
1443 |
+
"epoch": 6.14,
|
1444 |
+
"learning_rate": 4.946691641451411e-05,
|
1445 |
+
"loss": 1.3902,
|
1446 |
+
"step": 21800
|
1447 |
+
},
|
1448 |
+
{
|
1449 |
+
"epoch": 6.17,
|
1450 |
+
"learning_rate": 4.938535388366059e-05,
|
1451 |
+
"loss": 1.3836,
|
1452 |
+
"step": 21900
|
1453 |
+
},
|
1454 |
+
{
|
1455 |
+
"epoch": 6.2,
|
1456 |
+
"learning_rate": 4.9298065120132974e-05,
|
1457 |
+
"loss": 1.3839,
|
1458 |
+
"step": 22000
|
1459 |
+
},
|
1460 |
+
{
|
1461 |
+
"epoch": 6.2,
|
1462 |
+
"eval_gen_len": 20.0,
|
1463 |
+
"eval_loss": 2.1140034198760986,
|
1464 |
+
"eval_rouge1": 20.6468,
|
1465 |
+
"eval_rouge2": 5.2318,
|
1466 |
+
"eval_rougeL": 20.4445,
|
1467 |
+
"eval_rougeLsum": 20.4398,
|
1468 |
+
"eval_runtime": 162.2862,
|
1469 |
+
"eval_samples_per_second": 43.183,
|
1470 |
+
"eval_steps_per_second": 2.699,
|
1471 |
+
"step": 22000
|
1472 |
+
},
|
1473 |
+
{
|
1474 |
+
"epoch": 6.23,
|
1475 |
+
"learning_rate": 4.920507066342175e-05,
|
1476 |
+
"loss": 1.4005,
|
1477 |
+
"step": 22100
|
1478 |
+
},
|
1479 |
+
{
|
1480 |
+
"epoch": 6.26,
|
1481 |
+
"learning_rate": 4.910639239559606e-05,
|
1482 |
+
"loss": 1.3887,
|
1483 |
+
"step": 22200
|
1484 |
+
},
|
1485 |
+
{
|
1486 |
+
"epoch": 6.29,
|
1487 |
+
"learning_rate": 4.900205353615477e-05,
|
1488 |
+
"loss": 1.4081,
|
1489 |
+
"step": 22300
|
1490 |
+
},
|
1491 |
+
{
|
1492 |
+
"epoch": 6.31,
|
1493 |
+
"learning_rate": 4.889207863656274e-05,
|
1494 |
+
"loss": 1.4239,
|
1495 |
+
"step": 22400
|
1496 |
+
},
|
1497 |
+
{
|
1498 |
+
"epoch": 6.34,
|
1499 |
+
"learning_rate": 4.87764935744738e-05,
|
1500 |
+
"loss": 1.4332,
|
1501 |
+
"step": 22500
|
1502 |
+
},
|
1503 |
+
{
|
1504 |
+
"epoch": 6.37,
|
1505 |
+
"learning_rate": 4.865532554764157e-05,
|
1506 |
+
"loss": 1.4264,
|
1507 |
+
"step": 22600
|
1508 |
+
},
|
1509 |
+
{
|
1510 |
+
"epoch": 6.4,
|
1511 |
+
"learning_rate": 4.852860306751969e-05,
|
1512 |
+
"loss": 1.4465,
|
1513 |
+
"step": 22700
|
1514 |
+
},
|
1515 |
+
{
|
1516 |
+
"epoch": 6.43,
|
1517 |
+
"learning_rate": 4.839635595255296e-05,
|
1518 |
+
"loss": 1.4339,
|
1519 |
+
"step": 22800
|
1520 |
+
},
|
1521 |
+
{
|
1522 |
+
"epoch": 6.45,
|
1523 |
+
"learning_rate": 4.825861532116087e-05,
|
1524 |
+
"loss": 1.4463,
|
1525 |
+
"step": 22900
|
1526 |
+
},
|
1527 |
+
{
|
1528 |
+
"epoch": 6.48,
|
1529 |
+
"learning_rate": 4.811541358441531e-05,
|
1530 |
+
"loss": 1.447,
|
1531 |
+
"step": 23000
|
1532 |
+
},
|
1533 |
+
{
|
1534 |
+
"epoch": 6.51,
|
1535 |
+
"learning_rate": 4.796678443841405e-05,
|
1536 |
+
"loss": 1.4343,
|
1537 |
+
"step": 23100
|
1538 |
+
},
|
1539 |
+
{
|
1540 |
+
"epoch": 6.54,
|
1541 |
+
"learning_rate": 4.78127628563519e-05,
|
1542 |
+
"loss": 1.4502,
|
1543 |
+
"step": 23200
|
1544 |
+
},
|
1545 |
+
{
|
1546 |
+
"epoch": 6.57,
|
1547 |
+
"learning_rate": 4.765338508029135e-05,
|
1548 |
+
"loss": 1.4459,
|
1549 |
+
"step": 23300
|
1550 |
+
},
|
1551 |
+
{
|
1552 |
+
"epoch": 6.6,
|
1553 |
+
"learning_rate": 4.748868861263457e-05,
|
1554 |
+
"loss": 1.4448,
|
1555 |
+
"step": 23400
|
1556 |
+
},
|
1557 |
+
{
|
1558 |
+
"epoch": 6.62,
|
1559 |
+
"learning_rate": 4.731871220729898e-05,
|
1560 |
+
"loss": 1.4377,
|
1561 |
+
"step": 23500
|
1562 |
+
},
|
1563 |
+
{
|
1564 |
+
"epoch": 6.65,
|
1565 |
+
"learning_rate": 4.714349586059819e-05,
|
1566 |
+
"loss": 1.4549,
|
1567 |
+
"step": 23600
|
1568 |
+
},
|
1569 |
+
{
|
1570 |
+
"epoch": 6.68,
|
1571 |
+
"learning_rate": 4.696308080183071e-05,
|
1572 |
+
"loss": 1.4393,
|
1573 |
+
"step": 23700
|
1574 |
+
},
|
1575 |
+
{
|
1576 |
+
"epoch": 6.71,
|
1577 |
+
"learning_rate": 4.677750948357847e-05,
|
1578 |
+
"loss": 1.4678,
|
1579 |
+
"step": 23800
|
1580 |
+
},
|
1581 |
+
{
|
1582 |
+
"epoch": 6.74,
|
1583 |
+
"learning_rate": 4.65868255717175e-05,
|
1584 |
+
"loss": 1.4629,
|
1585 |
+
"step": 23900
|
1586 |
+
},
|
1587 |
+
{
|
1588 |
+
"epoch": 6.76,
|
1589 |
+
"learning_rate": 4.639107393514314e-05,
|
1590 |
+
"loss": 1.4605,
|
1591 |
+
"step": 24000
|
1592 |
+
},
|
1593 |
+
{
|
1594 |
+
"epoch": 6.76,
|
1595 |
+
"eval_gen_len": 20.0,
|
1596 |
+
"eval_loss": 2.088627815246582,
|
1597 |
+
"eval_rouge1": 21.2304,
|
1598 |
+
"eval_rouge2": 5.2346,
|
1599 |
+
"eval_rougeL": 21.0611,
|
1600 |
+
"eval_rougeLsum": 21.0649,
|
1601 |
+
"eval_runtime": 163.3508,
|
1602 |
+
"eval_samples_per_second": 42.902,
|
1603 |
+
"eval_steps_per_second": 2.681,
|
1604 |
+
"step": 24000
|
1605 |
+
},
|
1606 |
+
{
|
1607 |
+
"epoch": 6.79,
|
1608 |
+
"learning_rate": 4.619030063521217e-05,
|
1609 |
+
"loss": 1.4447,
|
1610 |
+
"step": 24100
|
1611 |
+
},
|
1612 |
+
{
|
1613 |
+
"epoch": 6.82,
|
1614 |
+
"learning_rate": 4.5984552914904304e-05,
|
1615 |
+
"loss": 1.4733,
|
1616 |
+
"step": 24200
|
1617 |
+
},
|
1618 |
+
{
|
1619 |
+
"epoch": 6.85,
|
1620 |
+
"learning_rate": 4.5773879187705715e-05,
|
1621 |
+
"loss": 1.4607,
|
1622 |
+
"step": 24300
|
1623 |
+
},
|
1624 |
+
{
|
1625 |
+
"epoch": 6.88,
|
1626 |
+
"learning_rate": 4.555832902621708e-05,
|
1627 |
+
"loss": 1.4659,
|
1628 |
+
"step": 24400
|
1629 |
+
},
|
1630 |
+
{
|
1631 |
+
"epoch": 6.91,
|
1632 |
+
"learning_rate": 4.533795315048888e-05,
|
1633 |
+
"loss": 1.482,
|
1634 |
+
"step": 24500
|
1635 |
+
},
|
1636 |
+
{
|
1637 |
+
"epoch": 6.93,
|
1638 |
+
"learning_rate": 4.511280341608673e-05,
|
1639 |
+
"loss": 1.4645,
|
1640 |
+
"step": 24600
|
1641 |
+
},
|
1642 |
+
{
|
1643 |
+
"epoch": 6.96,
|
1644 |
+
"learning_rate": 4.488293280188952e-05,
|
1645 |
+
"loss": 1.4645,
|
1646 |
+
"step": 24700
|
1647 |
+
},
|
1648 |
+
{
|
1649 |
+
"epoch": 6.99,
|
1650 |
+
"learning_rate": 4.464839539762315e-05,
|
1651 |
+
"loss": 1.4573,
|
1652 |
+
"step": 24800
|
1653 |
+
},
|
1654 |
+
{
|
1655 |
+
"epoch": 7.02,
|
1656 |
+
"learning_rate": 4.4409246391133016e-05,
|
1657 |
+
"loss": 1.3075,
|
1658 |
+
"step": 24900
|
1659 |
+
},
|
1660 |
+
{
|
1661 |
+
"epoch": 7.05,
|
1662 |
+
"learning_rate": 4.416554205539801e-05,
|
1663 |
+
"loss": 1.2172,
|
1664 |
+
"step": 25000
|
1665 |
+
},
|
1666 |
+
{
|
1667 |
+
"epoch": 7.07,
|
1668 |
+
"learning_rate": 4.391733973528915e-05,
|
1669 |
+
"loss": 1.1984,
|
1670 |
+
"step": 25100
|
1671 |
+
},
|
1672 |
+
{
|
1673 |
+
"epoch": 7.1,
|
1674 |
+
"learning_rate": 4.3664697834076095e-05,
|
1675 |
+
"loss": 1.2395,
|
1676 |
+
"step": 25200
|
1677 |
+
},
|
1678 |
+
{
|
1679 |
+
"epoch": 7.13,
|
1680 |
+
"learning_rate": 4.340767579968456e-05,
|
1681 |
+
"loss": 1.2372,
|
1682 |
+
"step": 25300
|
1683 |
+
},
|
1684 |
+
{
|
1685 |
+
"epoch": 7.16,
|
1686 |
+
"learning_rate": 4.314896870880448e-05,
|
1687 |
+
"loss": 1.2366,
|
1688 |
+
"step": 25400
|
1689 |
+
},
|
1690 |
+
{
|
1691 |
+
"epoch": 7.19,
|
1692 |
+
"learning_rate": 4.288341113416578e-05,
|
1693 |
+
"loss": 1.2374,
|
1694 |
+
"step": 25500
|
1695 |
+
},
|
1696 |
+
{
|
1697 |
+
"epoch": 7.22,
|
1698 |
+
"learning_rate": 4.261365726708706e-05,
|
1699 |
+
"loss": 1.2235,
|
1700 |
+
"step": 25600
|
1701 |
+
},
|
1702 |
+
{
|
1703 |
+
"epoch": 7.24,
|
1704 |
+
"learning_rate": 4.2339770582026725e-05,
|
1705 |
+
"loss": 1.2633,
|
1706 |
+
"step": 25700
|
1707 |
+
},
|
1708 |
+
{
|
1709 |
+
"epoch": 7.27,
|
1710 |
+
"learning_rate": 4.206181552591627e-05,
|
1711 |
+
"loss": 1.2347,
|
1712 |
+
"step": 25800
|
1713 |
+
},
|
1714 |
+
{
|
1715 |
+
"epoch": 7.3,
|
1716 |
+
"learning_rate": 4.1779857502995634e-05,
|
1717 |
+
"loss": 1.2533,
|
1718 |
+
"step": 25900
|
1719 |
+
},
|
1720 |
+
{
|
1721 |
+
"epoch": 7.33,
|
1722 |
+
"learning_rate": 4.1493962859423225e-05,
|
1723 |
+
"loss": 1.2594,
|
1724 |
+
"step": 26000
|
1725 |
+
},
|
1726 |
+
{
|
1727 |
+
"epoch": 7.33,
|
1728 |
+
"eval_gen_len": 20.0,
|
1729 |
+
"eval_loss": 2.1528804302215576,
|
1730 |
+
"eval_rouge1": 21.6885,
|
1731 |
+
"eval_rouge2": 5.3904,
|
1732 |
+
"eval_rougeL": 21.4125,
|
1733 |
+
"eval_rougeLsum": 21.4342,
|
1734 |
+
"eval_runtime": 162.2811,
|
1735 |
+
"eval_samples_per_second": 43.184,
|
1736 |
+
"eval_steps_per_second": 2.699,
|
1737 |
+
"step": 26000
|
1738 |
+
},
|
1739 |
+
{
|
1740 |
+
"epoch": 7.36,
|
1741 |
+
"learning_rate": 4.120419886766432e-05,
|
1742 |
+
"loss": 1.2742,
|
1743 |
+
"step": 26100
|
1744 |
+
},
|
1745 |
+
{
|
1746 |
+
"epoch": 7.38,
|
1747 |
+
"learning_rate": 4.091063371066154e-05,
|
1748 |
+
"loss": 1.246,
|
1749 |
+
"step": 26200
|
1750 |
+
},
|
1751 |
+
{
|
1752 |
+
"epoch": 7.41,
|
1753 |
+
"learning_rate": 4.061632768309558e-05,
|
1754 |
+
"loss": 1.2496,
|
1755 |
+
"step": 26300
|
1756 |
+
},
|
1757 |
+
{
|
1758 |
+
"epoch": 7.44,
|
1759 |
+
"learning_rate": 4.03154045781127e-05,
|
1760 |
+
"loss": 1.2608,
|
1761 |
+
"step": 26400
|
1762 |
+
},
|
1763 |
+
{
|
1764 |
+
"epoch": 7.47,
|
1765 |
+
"learning_rate": 4.001088944570764e-05,
|
1766 |
+
"loss": 1.2696,
|
1767 |
+
"step": 26500
|
1768 |
+
},
|
1769 |
+
{
|
1770 |
+
"epoch": 7.5,
|
1771 |
+
"learning_rate": 3.9702853939841514e-05,
|
1772 |
+
"loss": 1.2624,
|
1773 |
+
"step": 26600
|
1774 |
+
},
|
1775 |
+
{
|
1776 |
+
"epoch": 7.53,
|
1777 |
+
"learning_rate": 3.939137054283725e-05,
|
1778 |
+
"loss": 1.2809,
|
1779 |
+
"step": 26700
|
1780 |
+
},
|
1781 |
+
{
|
1782 |
+
"epoch": 7.55,
|
1783 |
+
"learning_rate": 3.9076512548324085e-05,
|
1784 |
+
"loss": 1.2533,
|
1785 |
+
"step": 26800
|
1786 |
+
},
|
1787 |
+
{
|
1788 |
+
"epoch": 7.58,
|
1789 |
+
"learning_rate": 3.875835404399126e-05,
|
1790 |
+
"loss": 1.2811,
|
1791 |
+
"step": 26900
|
1792 |
+
},
|
1793 |
+
{
|
1794 |
+
"epoch": 7.61,
|
1795 |
+
"learning_rate": 3.843696989415477e-05,
|
1796 |
+
"loss": 1.2851,
|
1797 |
+
"step": 27000
|
1798 |
+
},
|
1799 |
+
{
|
1800 |
+
"epoch": 7.64,
|
1801 |
+
"learning_rate": 3.811243572214143e-05,
|
1802 |
+
"loss": 1.2661,
|
1803 |
+
"step": 27100
|
1804 |
+
},
|
1805 |
+
{
|
1806 |
+
"epoch": 7.67,
|
1807 |
+
"learning_rate": 3.7784827892494295e-05,
|
1808 |
+
"loss": 1.2661,
|
1809 |
+
"step": 27200
|
1810 |
+
},
|
1811 |
+
{
|
1812 |
+
"epoch": 7.69,
|
1813 |
+
"learning_rate": 3.745422349300373e-05,
|
1814 |
+
"loss": 1.2525,
|
1815 |
+
"step": 27300
|
1816 |
+
},
|
1817 |
+
{
|
1818 |
+
"epoch": 7.72,
|
1819 |
+
"learning_rate": 3.712070031656822e-05,
|
1820 |
+
"loss": 1.2864,
|
1821 |
+
"step": 27400
|
1822 |
+
},
|
1823 |
+
{
|
1824 |
+
"epoch": 7.75,
|
1825 |
+
"learning_rate": 3.6784336842889355e-05,
|
1826 |
+
"loss": 1.2801,
|
1827 |
+
"step": 27500
|
1828 |
+
},
|
1829 |
+
{
|
1830 |
+
"epoch": 7.78,
|
1831 |
+
"learning_rate": 3.64452122200051e-05,
|
1832 |
+
"loss": 1.2888,
|
1833 |
+
"step": 27600
|
1834 |
+
},
|
1835 |
+
{
|
1836 |
+
"epoch": 7.81,
|
1837 |
+
"learning_rate": 3.6103406245665894e-05,
|
1838 |
+
"loss": 1.2825,
|
1839 |
+
"step": 27700
|
1840 |
+
},
|
1841 |
+
{
|
1842 |
+
"epoch": 7.84,
|
1843 |
+
"learning_rate": 3.575899934855785e-05,
|
1844 |
+
"loss": 1.2791,
|
1845 |
+
"step": 27800
|
1846 |
+
},
|
1847 |
+
{
|
1848 |
+
"epoch": 7.86,
|
1849 |
+
"learning_rate": 3.5412072569377407e-05,
|
1850 |
+
"loss": 1.2704,
|
1851 |
+
"step": 27900
|
1852 |
+
},
|
1853 |
+
{
|
1854 |
+
"epoch": 7.89,
|
1855 |
+
"learning_rate": 3.506270754176212e-05,
|
1856 |
+
"loss": 1.2809,
|
1857 |
+
"step": 28000
|
1858 |
+
},
|
1859 |
+
{
|
1860 |
+
"epoch": 7.89,
|
1861 |
+
"eval_gen_len": 20.0,
|
1862 |
+
"eval_loss": 2.155640125274658,
|
1863 |
+
"eval_rouge1": 20.7036,
|
1864 |
+
"eval_rouge2": 5.3801,
|
1865 |
+
"eval_rougeL": 20.5265,
|
1866 |
+
"eval_rougeLsum": 20.5209,
|
1867 |
+
"eval_runtime": 163.3415,
|
1868 |
+
"eval_samples_per_second": 42.904,
|
1869 |
+
"eval_steps_per_second": 2.681,
|
1870 |
+
"step": 28000
|
1871 |
+
},
|
1872 |
+
{
|
1873 |
+
"epoch": 7.92,
|
1874 |
+
"learning_rate": 3.471098647308181e-05,
|
1875 |
+
"loss": 1.2758,
|
1876 |
+
"step": 28100
|
1877 |
+
},
|
1878 |
+
{
|
1879 |
+
"epoch": 7.95,
|
1880 |
+
"learning_rate": 3.4356992125094747e-05,
|
1881 |
+
"loss": 1.2923,
|
1882 |
+
"step": 28200
|
1883 |
+
},
|
1884 |
+
{
|
1885 |
+
"epoch": 7.98,
|
1886 |
+
"learning_rate": 3.40008077944734e-05,
|
1887 |
+
"loss": 1.2823,
|
1888 |
+
"step": 28300
|
1889 |
+
},
|
1890 |
+
{
|
1891 |
+
"epoch": 8.0,
|
1892 |
+
"learning_rate": 3.3642517293204305e-05,
|
1893 |
+
"loss": 1.265,
|
1894 |
+
"step": 28400
|
1895 |
+
},
|
1896 |
+
{
|
1897 |
+
"epoch": 8.03,
|
1898 |
+
"learning_rate": 3.328220492886667e-05,
|
1899 |
+
"loss": 1.0506,
|
1900 |
+
"step": 28500
|
1901 |
+
},
|
1902 |
+
{
|
1903 |
+
"epoch": 8.06,
|
1904 |
+
"learning_rate": 3.291995548479439e-05,
|
1905 |
+
"loss": 1.0599,
|
1906 |
+
"step": 28600
|
1907 |
+
},
|
1908 |
+
{
|
1909 |
+
"epoch": 8.09,
|
1910 |
+
"learning_rate": 3.255585420012606e-05,
|
1911 |
+
"loss": 1.07,
|
1912 |
+
"step": 28700
|
1913 |
+
},
|
1914 |
+
{
|
1915 |
+
"epoch": 8.12,
|
1916 |
+
"learning_rate": 3.2189986749747835e-05,
|
1917 |
+
"loss": 1.0685,
|
1918 |
+
"step": 28800
|
1919 |
+
},
|
1920 |
+
{
|
1921 |
+
"epoch": 8.15,
|
1922 |
+
"learning_rate": 3.182243922413361e-05,
|
1923 |
+
"loss": 1.088,
|
1924 |
+
"step": 28900
|
1925 |
+
},
|
1926 |
+
{
|
1927 |
+
"epoch": 8.17,
|
1928 |
+
"learning_rate": 3.145329810908756e-05,
|
1929 |
+
"loss": 1.0686,
|
1930 |
+
"step": 29000
|
1931 |
+
},
|
1932 |
+
{
|
1933 |
+
"epoch": 8.2,
|
1934 |
+
"learning_rate": 3.1082650265393565e-05,
|
1935 |
+
"loss": 1.0841,
|
1936 |
+
"step": 29100
|
1937 |
+
},
|
1938 |
+
{
|
1939 |
+
"epoch": 8.23,
|
1940 |
+
"learning_rate": 3.071058290837644e-05,
|
1941 |
+
"loss": 1.0808,
|
1942 |
+
"step": 29200
|
1943 |
+
},
|
1944 |
+
{
|
1945 |
+
"epoch": 8.26,
|
1946 |
+
"learning_rate": 3.0337183587379695e-05,
|
1947 |
+
"loss": 1.0797,
|
1948 |
+
"step": 29300
|
1949 |
+
},
|
1950 |
+
{
|
1951 |
+
"epoch": 8.29,
|
1952 |
+
"learning_rate": 2.9962540165164753e-05,
|
1953 |
+
"loss": 1.0824,
|
1954 |
+
"step": 29400
|
1955 |
+
},
|
1956 |
+
{
|
1957 |
+
"epoch": 8.31,
|
1958 |
+
"learning_rate": 2.958674079723637e-05,
|
1959 |
+
"loss": 1.0767,
|
1960 |
+
"step": 29500
|
1961 |
+
},
|
1962 |
+
{
|
1963 |
+
"epoch": 8.34,
|
1964 |
+
"learning_rate": 2.9209873911099242e-05,
|
1965 |
+
"loss": 1.0872,
|
1966 |
+
"step": 29600
|
1967 |
+
},
|
1968 |
+
{
|
1969 |
+
"epoch": 8.37,
|
1970 |
+
"learning_rate": 2.8832028185450523e-05,
|
1971 |
+
"loss": 1.0726,
|
1972 |
+
"step": 29700
|
1973 |
+
},
|
1974 |
+
{
|
1975 |
+
"epoch": 8.4,
|
1976 |
+
"learning_rate": 2.845329252931329e-05,
|
1977 |
+
"loss": 1.0763,
|
1978 |
+
"step": 29800
|
1979 |
+
},
|
1980 |
+
{
|
1981 |
+
"epoch": 8.43,
|
1982 |
+
"learning_rate": 2.8073756061115794e-05,
|
1983 |
+
"loss": 1.1097,
|
1984 |
+
"step": 29900
|
1985 |
+
},
|
1986 |
+
{
|
1987 |
+
"epoch": 8.46,
|
1988 |
+
"learning_rate": 2.7693508087721433e-05,
|
1989 |
+
"loss": 1.0819,
|
1990 |
+
"step": 30000
|
1991 |
+
},
|
1992 |
+
{
|
1993 |
+
"epoch": 8.46,
|
1994 |
+
"eval_gen_len": 20.0,
|
1995 |
+
"eval_loss": 2.23087477684021,
|
1996 |
+
"eval_rouge1": 20.9622,
|
1997 |
+
"eval_rouge2": 5.3019,
|
1998 |
+
"eval_rougeL": 20.7446,
|
1999 |
+
"eval_rougeLsum": 20.7429,
|
2000 |
+
"eval_runtime": 162.5566,
|
2001 |
+
"eval_samples_per_second": 43.111,
|
2002 |
+
"eval_steps_per_second": 2.694,
|
2003 |
+
"step": 30000
|
2004 |
+
},
|
2005 |
+
{
|
2006 |
+
"epoch": 8.48,
|
2007 |
+
"learning_rate": 2.731263808341441e-05,
|
2008 |
+
"loss": 1.1006,
|
2009 |
+
"step": 30100
|
2010 |
+
},
|
2011 |
+
{
|
2012 |
+
"epoch": 8.51,
|
2013 |
+
"learning_rate": 2.6931235668845973e-05,
|
2014 |
+
"loss": 1.0997,
|
2015 |
+
"step": 30200
|
2016 |
+
},
|
2017 |
+
{
|
2018 |
+
"epoch": 8.54,
|
2019 |
+
"learning_rate": 2.65493905899462e-05,
|
2020 |
+
"loss": 1.1084,
|
2021 |
+
"step": 30300
|
2022 |
+
},
|
2023 |
+
{
|
2024 |
+
"epoch": 8.57,
|
2025 |
+
"learning_rate": 2.6167192696806356e-05,
|
2026 |
+
"loss": 1.0907,
|
2027 |
+
"step": 30400
|
2028 |
+
},
|
2029 |
+
{
|
2030 |
+
"epoch": 8.6,
|
2031 |
+
"learning_rate": 2.5784731922536687e-05,
|
2032 |
+
"loss": 1.0974,
|
2033 |
+
"step": 30500
|
2034 |
+
},
|
2035 |
+
{
|
2036 |
+
"epoch": 8.62,
|
2037 |
+
"learning_rate": 2.540592515888669e-05,
|
2038 |
+
"loss": 1.1108,
|
2039 |
+
"step": 30600
|
2040 |
+
},
|
2041 |
+
{
|
2042 |
+
"epoch": 8.65,
|
2043 |
+
"learning_rate": 2.5023209030687986e-05,
|
2044 |
+
"loss": 1.1082,
|
2045 |
+
"step": 30700
|
2046 |
+
},
|
2047 |
+
{
|
2048 |
+
"epoch": 8.68,
|
2049 |
+
"learning_rate": 2.4640499206540774e-05,
|
2050 |
+
"loss": 1.0964,
|
2051 |
+
"step": 30800
|
2052 |
+
},
|
2053 |
+
{
|
2054 |
+
"epoch": 8.71,
|
2055 |
+
"learning_rate": 2.425788574001527e-05,
|
2056 |
+
"loss": 1.1008,
|
2057 |
+
"step": 30900
|
2058 |
+
},
|
2059 |
+
{
|
2060 |
+
"epoch": 8.74,
|
2061 |
+
"learning_rate": 2.3875458662008246e-05,
|
2062 |
+
"loss": 1.0956,
|
2063 |
+
"step": 31000
|
2064 |
+
},
|
2065 |
+
{
|
2066 |
+
"epoch": 8.77,
|
2067 |
+
"learning_rate": 2.3493307959558313e-05,
|
2068 |
+
"loss": 1.1051,
|
2069 |
+
"step": 31100
|
2070 |
+
},
|
2071 |
+
{
|
2072 |
+
"epoch": 8.79,
|
2073 |
+
"learning_rate": 2.3111523554671516e-05,
|
2074 |
+
"loss": 1.1033,
|
2075 |
+
"step": 31200
|
2076 |
+
},
|
2077 |
+
{
|
2078 |
+
"epoch": 8.82,
|
2079 |
+
"learning_rate": 2.2730195283162194e-05,
|
2080 |
+
"loss": 1.1003,
|
2081 |
+
"step": 31300
|
2082 |
+
},
|
2083 |
+
{
|
2084 |
+
"epoch": 8.85,
|
2085 |
+
"learning_rate": 2.2349412873514212e-05,
|
2086 |
+
"loss": 1.1031,
|
2087 |
+
"step": 31400
|
2088 |
+
},
|
2089 |
+
{
|
2090 |
+
"epoch": 8.88,
|
2091 |
+
"learning_rate": 2.1969265925767334e-05,
|
2092 |
+
"loss": 1.1195,
|
2093 |
+
"step": 31500
|
2094 |
+
},
|
2095 |
+
{
|
2096 |
+
"epoch": 8.91,
|
2097 |
+
"learning_rate": 2.158984389043391e-05,
|
2098 |
+
"loss": 1.0978,
|
2099 |
+
"step": 31600
|
2100 |
+
},
|
2101 |
+
{
|
2102 |
+
"epoch": 8.93,
|
2103 |
+
"learning_rate": 2.1211236047450704e-05,
|
2104 |
+
"loss": 1.1105,
|
2105 |
+
"step": 31700
|
2106 |
+
},
|
2107 |
+
{
|
2108 |
+
"epoch": 8.96,
|
2109 |
+
"learning_rate": 2.08335314851709e-05,
|
2110 |
+
"loss": 1.1088,
|
2111 |
+
"step": 31800
|
2112 |
+
},
|
2113 |
+
{
|
2114 |
+
"epoch": 8.99,
|
2115 |
+
"learning_rate": 2.0456819079401094e-05,
|
2116 |
+
"loss": 1.1241,
|
2117 |
+
"step": 31900
|
2118 |
+
},
|
2119 |
+
{
|
2120 |
+
"epoch": 9.02,
|
2121 |
+
"learning_rate": 2.008118747248843e-05,
|
2122 |
+
"loss": 0.9814,
|
2123 |
+
"step": 32000
|
2124 |
+
},
|
2125 |
+
{
|
2126 |
+
"epoch": 9.02,
|
2127 |
+
"eval_gen_len": 20.0,
|
2128 |
+
"eval_loss": 2.2810895442962646,
|
2129 |
+
"eval_rouge1": 20.6296,
|
2130 |
+
"eval_rouge2": 5.1936,
|
2131 |
+
"eval_rougeL": 20.4403,
|
2132 |
+
"eval_rougeLsum": 20.4304,
|
2133 |
+
"eval_runtime": 162.301,
|
2134 |
+
"eval_samples_per_second": 43.179,
|
2135 |
+
"eval_steps_per_second": 2.699,
|
2136 |
+
"step": 32000
|
2137 |
+
},
|
2138 |
+
{
|
2139 |
+
"epoch": 9.05,
|
2140 |
+
"learning_rate": 1.9706725052462575e-05,
|
2141 |
+
"loss": 0.9353,
|
2142 |
+
"step": 32100
|
2143 |
+
},
|
2144 |
+
{
|
2145 |
+
"epoch": 9.08,
|
2146 |
+
"learning_rate": 1.933351993223755e-05,
|
2147 |
+
"loss": 0.9372,
|
2148 |
+
"step": 32200
|
2149 |
+
},
|
2150 |
+
{
|
2151 |
+
"epoch": 9.1,
|
2152 |
+
"learning_rate": 1.8961659928878366e-05,
|
2153 |
+
"loss": 0.9601,
|
2154 |
+
"step": 32300
|
2155 |
+
},
|
2156 |
+
{
|
2157 |
+
"epoch": 9.13,
|
2158 |
+
"learning_rate": 1.859123254293715e-05,
|
2159 |
+
"loss": 0.9461,
|
2160 |
+
"step": 32400
|
2161 |
+
},
|
2162 |
+
{
|
2163 |
+
"epoch": 9.16,
|
2164 |
+
"learning_rate": 1.8222324937863884e-05,
|
2165 |
+
"loss": 0.9575,
|
2166 |
+
"step": 32500
|
2167 |
+
},
|
2168 |
+
{
|
2169 |
+
"epoch": 9.19,
|
2170 |
+
"learning_rate": 1.7858688692966636e-05,
|
2171 |
+
"loss": 0.951,
|
2172 |
+
"step": 32600
|
2173 |
+
},
|
2174 |
+
{
|
2175 |
+
"epoch": 9.22,
|
2176 |
+
"learning_rate": 1.74930633324332e-05,
|
2177 |
+
"loss": 0.9606,
|
2178 |
+
"step": 32700
|
2179 |
+
},
|
2180 |
+
{
|
2181 |
+
"epoch": 9.24,
|
2182 |
+
"learning_rate": 1.712921615757434e-05,
|
2183 |
+
"loss": 0.9316,
|
2184 |
+
"step": 32800
|
2185 |
+
},
|
2186 |
+
{
|
2187 |
+
"epoch": 9.27,
|
2188 |
+
"learning_rate": 1.676723278348288e-05,
|
2189 |
+
"loss": 0.9447,
|
2190 |
+
"step": 32900
|
2191 |
+
},
|
2192 |
+
{
|
2193 |
+
"epoch": 9.3,
|
2194 |
+
"learning_rate": 1.640719838668979e-05,
|
2195 |
+
"loss": 0.9591,
|
2196 |
+
"step": 33000
|
2197 |
+
},
|
2198 |
+
{
|
2199 |
+
"epoch": 9.33,
|
2200 |
+
"learning_rate": 1.604919768512179e-05,
|
2201 |
+
"loss": 0.9629,
|
2202 |
+
"step": 33100
|
2203 |
+
},
|
2204 |
+
{
|
2205 |
+
"epoch": 9.36,
|
2206 |
+
"learning_rate": 1.569331491816673e-05,
|
2207 |
+
"loss": 0.9541,
|
2208 |
+
"step": 33200
|
2209 |
+
},
|
2210 |
+
{
|
2211 |
+
"epoch": 9.39,
|
2212 |
+
"learning_rate": 1.53396338268517e-05,
|
2213 |
+
"loss": 0.9409,
|
2214 |
+
"step": 33300
|
2215 |
+
},
|
2216 |
+
{
|
2217 |
+
"epoch": 9.41,
|
2218 |
+
"learning_rate": 1.4988237634138258e-05,
|
2219 |
+
"loss": 0.9517,
|
2220 |
+
"step": 33400
|
2221 |
+
},
|
2222 |
+
{
|
2223 |
+
"epoch": 9.44,
|
2224 |
+
"learning_rate": 1.4639209025339731e-05,
|
2225 |
+
"loss": 0.9569,
|
2226 |
+
"step": 33500
|
2227 |
+
},
|
2228 |
+
{
|
2229 |
+
"epoch": 9.47,
|
2230 |
+
"learning_rate": 1.4292630128664853e-05,
|
2231 |
+
"loss": 0.9421,
|
2232 |
+
"step": 33600
|
2233 |
+
},
|
2234 |
+
{
|
2235 |
+
"epoch": 9.5,
|
2236 |
+
"learning_rate": 1.3948582495892665e-05,
|
2237 |
+
"loss": 0.9455,
|
2238 |
+
"step": 33700
|
2239 |
+
},
|
2240 |
+
{
|
2241 |
+
"epoch": 9.53,
|
2242 |
+
"learning_rate": 1.3610548242500389e-05,
|
2243 |
+
"loss": 0.9553,
|
2244 |
+
"step": 33800
|
2245 |
+
},
|
2246 |
+
{
|
2247 |
+
"epoch": 9.55,
|
2248 |
+
"learning_rate": 1.3271778070102909e-05,
|
2249 |
+
"loss": 0.9668,
|
2250 |
+
"step": 33900
|
2251 |
+
},
|
2252 |
+
{
|
2253 |
+
"epoch": 9.58,
|
2254 |
+
"learning_rate": 1.2935779373295224e-05,
|
2255 |
+
"loss": 0.9403,
|
2256 |
+
"step": 34000
|
2257 |
+
},
|
2258 |
+
{
|
2259 |
+
"epoch": 9.58,
|
2260 |
+
"eval_gen_len": 20.0,
|
2261 |
+
"eval_loss": 2.29062819480896,
|
2262 |
+
"eval_rouge1": 21.0701,
|
2263 |
+
"eval_rouge2": 5.1666,
|
2264 |
+
"eval_rougeL": 20.8587,
|
2265 |
+
"eval_rougeLsum": 20.8463,
|
2266 |
+
"eval_runtime": 162.5034,
|
2267 |
+
"eval_samples_per_second": 43.125,
|
2268 |
+
"eval_steps_per_second": 2.695,
|
2269 |
+
"step": 34000
|
2270 |
+
},
|
2271 |
+
{
|
2272 |
+
"epoch": 9.61,
|
2273 |
+
"learning_rate": 1.2602631214281477e-05,
|
2274 |
+
"loss": 0.9553,
|
2275 |
+
"step": 34100
|
2276 |
+
},
|
2277 |
+
{
|
2278 |
+
"epoch": 9.64,
|
2279 |
+
"learning_rate": 1.2272411984519708e-05,
|
2280 |
+
"loss": 0.9575,
|
2281 |
+
"step": 34200
|
2282 |
+
},
|
2283 |
+
{
|
2284 |
+
"epoch": 9.67,
|
2285 |
+
"learning_rate": 1.1945199386276041e-05,
|
2286 |
+
"loss": 0.9545,
|
2287 |
+
"step": 34300
|
2288 |
+
},
|
2289 |
+
{
|
2290 |
+
"epoch": 9.7,
|
2291 |
+
"learning_rate": 1.1621070414340846e-05,
|
2292 |
+
"loss": 0.9406,
|
2293 |
+
"step": 34400
|
2294 |
+
},
|
2295 |
+
{
|
2296 |
+
"epoch": 9.72,
|
2297 |
+
"learning_rate": 1.1300101337911568e-05,
|
2298 |
+
"loss": 0.9689,
|
2299 |
+
"step": 34500
|
2300 |
+
},
|
2301 |
+
{
|
2302 |
+
"epoch": 9.75,
|
2303 |
+
"learning_rate": 1.0982367682646119e-05,
|
2304 |
+
"loss": 0.9576,
|
2305 |
+
"step": 34600
|
2306 |
+
},
|
2307 |
+
{
|
2308 |
+
"epoch": 9.78,
|
2309 |
+
"learning_rate": 1.0667944212891339e-05,
|
2310 |
+
"loss": 0.9547,
|
2311 |
+
"step": 34700
|
2312 |
+
},
|
2313 |
+
{
|
2314 |
+
"epoch": 9.81,
|
2315 |
+
"learning_rate": 1.0356904914090589e-05,
|
2316 |
+
"loss": 0.9619,
|
2317 |
+
"step": 34800
|
2318 |
+
},
|
2319 |
+
{
|
2320 |
+
"epoch": 9.84,
|
2321 |
+
"learning_rate": 1.0049322975374548e-05,
|
2322 |
+
"loss": 0.9578,
|
2323 |
+
"step": 34900
|
2324 |
+
},
|
2325 |
+
{
|
2326 |
+
"epoch": 9.86,
|
2327 |
+
"learning_rate": 9.745270772339474e-06,
|
2328 |
+
"loss": 0.9509,
|
2329 |
+
"step": 35000
|
2330 |
+
},
|
2331 |
+
{
|
2332 |
+
"epoch": 9.89,
|
2333 |
+
"learning_rate": 9.447806300054016e-06,
|
2334 |
+
"loss": 0.9593,
|
2335 |
+
"step": 35100
|
2336 |
+
},
|
2337 |
+
{
|
2338 |
+
"epoch": 9.92,
|
2339 |
+
"learning_rate": 9.15099028916227e-06,
|
2340 |
+
"loss": 0.9576,
|
2341 |
+
"step": 35200
|
2342 |
+
},
|
2343 |
+
{
|
2344 |
+
"epoch": 9.95,
|
2345 |
+
"learning_rate": 8.857915396206473e-06,
|
2346 |
+
"loss": 0.9653,
|
2347 |
+
"step": 35300
|
2348 |
+
},
|
2349 |
+
{
|
2350 |
+
"epoch": 9.98,
|
2351 |
+
"learning_rate": 8.56865058320117e-06,
|
2352 |
+
"loss": 0.958,
|
2353 |
+
"step": 35400
|
2354 |
+
},
|
2355 |
+
{
|
2356 |
+
"epoch": 10.0,
|
2357 |
+
"step": 35480,
|
2358 |
+
"total_flos": 2.3762843604025344e+17,
|
2359 |
+
"train_loss": 1.5038130920392954,
|
2360 |
+
"train_runtime": 13804.3068,
|
2361 |
+
"train_samples_per_second": 41.118,
|
2362 |
+
"train_steps_per_second": 2.57
|
2363 |
+
}
|
2364 |
+
],
|
2365 |
+
"max_steps": 35480,
|
2366 |
+
"num_train_epochs": 10,
|
2367 |
+
"total_flos": 2.3762843604025344e+17,
|
2368 |
+
"trial_name": null,
|
2369 |
+
"trial_params": null
|
2370 |
+
}
|
training_args.bin
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:9cdba313b31bdac3438861022cd20b0533cea266378d23d59149777ab8970935
|
3 |
+
size 3567
|