Upload 7 files
Browse files- config.json +58 -0
- pytorch_model.bin +3 -0
- sentencepiece.bpe.model +3 -0
- special_tokens_map.json +15 -0
- tokenizer_config.json +55 -0
- trainer_state.json +729 -0
- training_args.bin +3 -0
config.json
ADDED
@@ -0,0 +1,58 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"_name_or_path": "../model/cino-small-v2",
|
3 |
+
"architectures": [
|
4 |
+
"XLMRobertaForSequenceClassification"
|
5 |
+
],
|
6 |
+
"attention_probs_dropout_prob": 0.1,
|
7 |
+
"bos_token_id": 0,
|
8 |
+
"classifier_dropout": null,
|
9 |
+
"eos_token_id": 2,
|
10 |
+
"gradient_checkpointing": false,
|
11 |
+
"hidden_act": "gelu",
|
12 |
+
"hidden_dropout_prob": 0.1,
|
13 |
+
"hidden_size": 768,
|
14 |
+
"id2label": {
|
15 |
+
"0": "Politics",
|
16 |
+
"1": "Economics",
|
17 |
+
"2": "Education",
|
18 |
+
"3": "Tourism",
|
19 |
+
"4": "Environment",
|
20 |
+
"5": "Language",
|
21 |
+
"6": "Literature",
|
22 |
+
"7": "Religion",
|
23 |
+
"8": "Arts",
|
24 |
+
"9": "Medicine",
|
25 |
+
"10": "Customs",
|
26 |
+
"11": "Instruments"
|
27 |
+
},
|
28 |
+
"initializer_range": 0.02,
|
29 |
+
"intermediate_size": 3072,
|
30 |
+
"label2id": {
|
31 |
+
"Arts": 8,
|
32 |
+
"Customs": 10,
|
33 |
+
"Economics": 1,
|
34 |
+
"Education": 2,
|
35 |
+
"Environment": 4,
|
36 |
+
"Instruments": 11,
|
37 |
+
"Language": 5,
|
38 |
+
"Literature": 6,
|
39 |
+
"Medicine": 9,
|
40 |
+
"Politics": 0,
|
41 |
+
"Religion": 7,
|
42 |
+
"Tourism": 3
|
43 |
+
},
|
44 |
+
"layer_norm_eps": 1e-05,
|
45 |
+
"max_position_embeddings": 514,
|
46 |
+
"model_type": "xlm-roberta",
|
47 |
+
"num_attention_heads": 12,
|
48 |
+
"num_hidden_layers": 6,
|
49 |
+
"output_past": true,
|
50 |
+
"pad_token_id": 1,
|
51 |
+
"position_embedding_type": "absolute",
|
52 |
+
"problem_type": "single_label_classification",
|
53 |
+
"torch_dtype": "float32",
|
54 |
+
"transformers_version": "4.36.2",
|
55 |
+
"type_vocab_size": 1,
|
56 |
+
"use_cache": true,
|
57 |
+
"vocab_size": 135359
|
58 |
+
}
|
pytorch_model.bin
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:a5522f112bf48c042eae8056e166a8ae16eafca66718487467d3eaf88d5d5d54
|
3 |
+
size 589953711
|
sentencepiece.bpe.model
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:abec8706178924453be115cd2da858ef32de70ba60d0c10300822a732a868cf7
|
3 |
+
size 2814898
|
special_tokens_map.json
ADDED
@@ -0,0 +1,15 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"bos_token": "<s>",
|
3 |
+
"cls_token": "<s>",
|
4 |
+
"eos_token": "</s>",
|
5 |
+
"mask_token": {
|
6 |
+
"content": "<mask>",
|
7 |
+
"lstrip": true,
|
8 |
+
"normalized": false,
|
9 |
+
"rstrip": false,
|
10 |
+
"single_word": false
|
11 |
+
},
|
12 |
+
"pad_token": "<pad>",
|
13 |
+
"sep_token": "</s>",
|
14 |
+
"unk_token": "<unk>"
|
15 |
+
}
|
tokenizer_config.json
ADDED
@@ -0,0 +1,55 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"added_tokens_decoder": {
|
3 |
+
"0": {
|
4 |
+
"content": "<s>",
|
5 |
+
"lstrip": false,
|
6 |
+
"normalized": false,
|
7 |
+
"rstrip": false,
|
8 |
+
"single_word": false,
|
9 |
+
"special": true
|
10 |
+
},
|
11 |
+
"1": {
|
12 |
+
"content": "<pad>",
|
13 |
+
"lstrip": false,
|
14 |
+
"normalized": false,
|
15 |
+
"rstrip": false,
|
16 |
+
"single_word": false,
|
17 |
+
"special": true
|
18 |
+
},
|
19 |
+
"2": {
|
20 |
+
"content": "</s>",
|
21 |
+
"lstrip": false,
|
22 |
+
"normalized": false,
|
23 |
+
"rstrip": false,
|
24 |
+
"single_word": false,
|
25 |
+
"special": true
|
26 |
+
},
|
27 |
+
"3": {
|
28 |
+
"content": "<unk>",
|
29 |
+
"lstrip": false,
|
30 |
+
"normalized": false,
|
31 |
+
"rstrip": false,
|
32 |
+
"single_word": false,
|
33 |
+
"special": true
|
34 |
+
},
|
35 |
+
"135358": {
|
36 |
+
"content": "<mask>",
|
37 |
+
"lstrip": true,
|
38 |
+
"normalized": false,
|
39 |
+
"rstrip": false,
|
40 |
+
"single_word": false,
|
41 |
+
"special": true
|
42 |
+
}
|
43 |
+
},
|
44 |
+
"bos_token": "<s>",
|
45 |
+
"clean_up_tokenization_spaces": true,
|
46 |
+
"cls_token": "<s>",
|
47 |
+
"eos_token": "</s>",
|
48 |
+
"mask_token": "<mask>",
|
49 |
+
"model_max_length": 1000000000000000019884624838656,
|
50 |
+
"pad_token": "<pad>",
|
51 |
+
"sep_token": "</s>",
|
52 |
+
"sp_model_kwargs": {},
|
53 |
+
"tokenizer_class": "XLMRobertaTokenizer",
|
54 |
+
"unk_token": "<unk>"
|
55 |
+
}
|
trainer_state.json
ADDED
@@ -0,0 +1,729 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"best_metric": 0.7314804685814131,
|
3 |
+
"best_model_checkpoint": "../saved_model/cino-small-v2_tncc-document_v3/checkpoint-1386",
|
4 |
+
"epoch": 40.0,
|
5 |
+
"eval_steps": 500,
|
6 |
+
"global_step": 9240,
|
7 |
+
"is_hyper_param_search": false,
|
8 |
+
"is_local_process_zero": true,
|
9 |
+
"is_world_process_zero": true,
|
10 |
+
"log_history": [
|
11 |
+
{
|
12 |
+
"epoch": 1.0,
|
13 |
+
"eval_accuracy": 0.5728260869565217,
|
14 |
+
"eval_loss": 1.4385737180709839,
|
15 |
+
"eval_macro-f1": 0.3838604227373153,
|
16 |
+
"eval_macro-precision": 0.4180870918370973,
|
17 |
+
"eval_macro-recall": 0.401101362786273,
|
18 |
+
"eval_runtime": 3.7275,
|
19 |
+
"eval_samples_per_second": 246.815,
|
20 |
+
"eval_steps_per_second": 7.78,
|
21 |
+
"eval_weighted-f1": 0.5305606310926694,
|
22 |
+
"eval_weighted-precision": 0.5297428752450334,
|
23 |
+
"eval_weighted-recall": 0.5728260869565217,
|
24 |
+
"step": 231
|
25 |
+
},
|
26 |
+
{
|
27 |
+
"epoch": 2.0,
|
28 |
+
"eval_accuracy": 0.6804347826086956,
|
29 |
+
"eval_loss": 0.9704039692878723,
|
30 |
+
"eval_macro-f1": 0.5670979693101942,
|
31 |
+
"eval_macro-precision": 0.6248049410073685,
|
32 |
+
"eval_macro-recall": 0.5626229599238465,
|
33 |
+
"eval_runtime": 3.649,
|
34 |
+
"eval_samples_per_second": 252.121,
|
35 |
+
"eval_steps_per_second": 7.947,
|
36 |
+
"eval_weighted-f1": 0.659306294880126,
|
37 |
+
"eval_weighted-precision": 0.6612128534838714,
|
38 |
+
"eval_weighted-recall": 0.6804347826086956,
|
39 |
+
"step": 462
|
40 |
+
},
|
41 |
+
{
|
42 |
+
"epoch": 2.16,
|
43 |
+
"learning_rate": 2.7056277056277056e-05,
|
44 |
+
"loss": 1.5683,
|
45 |
+
"step": 500
|
46 |
+
},
|
47 |
+
{
|
48 |
+
"epoch": 3.0,
|
49 |
+
"eval_accuracy": 0.7228260869565217,
|
50 |
+
"eval_loss": 0.8554874658584595,
|
51 |
+
"eval_macro-f1": 0.6439019323461226,
|
52 |
+
"eval_macro-precision": 0.7591831945218918,
|
53 |
+
"eval_macro-recall": 0.647150694134015,
|
54 |
+
"eval_runtime": 3.6619,
|
55 |
+
"eval_samples_per_second": 251.235,
|
56 |
+
"eval_steps_per_second": 7.919,
|
57 |
+
"eval_weighted-f1": 0.7074240890463663,
|
58 |
+
"eval_weighted-precision": 0.7364652520925159,
|
59 |
+
"eval_weighted-recall": 0.7228260869565217,
|
60 |
+
"step": 693
|
61 |
+
},
|
62 |
+
{
|
63 |
+
"epoch": 4.0,
|
64 |
+
"eval_accuracy": 0.7217391304347827,
|
65 |
+
"eval_loss": 0.8149855136871338,
|
66 |
+
"eval_macro-f1": 0.692605745410065,
|
67 |
+
"eval_macro-precision": 0.7440547514586789,
|
68 |
+
"eval_macro-recall": 0.6752749193421123,
|
69 |
+
"eval_runtime": 3.6631,
|
70 |
+
"eval_samples_per_second": 251.153,
|
71 |
+
"eval_steps_per_second": 7.917,
|
72 |
+
"eval_weighted-f1": 0.7209306678998675,
|
73 |
+
"eval_weighted-precision": 0.7414800435950141,
|
74 |
+
"eval_weighted-recall": 0.7217391304347827,
|
75 |
+
"step": 924
|
76 |
+
},
|
77 |
+
{
|
78 |
+
"epoch": 4.33,
|
79 |
+
"learning_rate": 4.9543049543049543e-05,
|
80 |
+
"loss": 0.8117,
|
81 |
+
"step": 1000
|
82 |
+
},
|
83 |
+
{
|
84 |
+
"epoch": 5.0,
|
85 |
+
"eval_accuracy": 0.7380434782608696,
|
86 |
+
"eval_loss": 0.7939425110816956,
|
87 |
+
"eval_macro-f1": 0.6992459555314743,
|
88 |
+
"eval_macro-precision": 0.7591820184313646,
|
89 |
+
"eval_macro-recall": 0.6754292333806964,
|
90 |
+
"eval_runtime": 3.6533,
|
91 |
+
"eval_samples_per_second": 251.83,
|
92 |
+
"eval_steps_per_second": 7.938,
|
93 |
+
"eval_weighted-f1": 0.7380000414393602,
|
94 |
+
"eval_weighted-precision": 0.7564326290768578,
|
95 |
+
"eval_weighted-recall": 0.7380434782608696,
|
96 |
+
"step": 1155
|
97 |
+
},
|
98 |
+
{
|
99 |
+
"epoch": 6.0,
|
100 |
+
"eval_accuracy": 0.758695652173913,
|
101 |
+
"eval_loss": 0.7805317640304565,
|
102 |
+
"eval_macro-f1": 0.7314804685814131,
|
103 |
+
"eval_macro-precision": 0.7488860778713532,
|
104 |
+
"eval_macro-recall": 0.7209236372848382,
|
105 |
+
"eval_runtime": 3.6563,
|
106 |
+
"eval_samples_per_second": 251.62,
|
107 |
+
"eval_steps_per_second": 7.932,
|
108 |
+
"eval_weighted-f1": 0.7573646414610792,
|
109 |
+
"eval_weighted-precision": 0.7607162388274387,
|
110 |
+
"eval_weighted-recall": 0.758695652173913,
|
111 |
+
"step": 1386
|
112 |
+
},
|
113 |
+
{
|
114 |
+
"epoch": 6.49,
|
115 |
+
"learning_rate": 4.653679653679654e-05,
|
116 |
+
"loss": 0.5138,
|
117 |
+
"step": 1500
|
118 |
+
},
|
119 |
+
{
|
120 |
+
"epoch": 7.0,
|
121 |
+
"eval_accuracy": 0.7271739130434782,
|
122 |
+
"eval_loss": 0.9128503799438477,
|
123 |
+
"eval_macro-f1": 0.6932349275628739,
|
124 |
+
"eval_macro-precision": 0.709503845500428,
|
125 |
+
"eval_macro-recall": 0.6965007036577074,
|
126 |
+
"eval_runtime": 3.6549,
|
127 |
+
"eval_samples_per_second": 251.715,
|
128 |
+
"eval_steps_per_second": 7.934,
|
129 |
+
"eval_weighted-f1": 0.7248736247795886,
|
130 |
+
"eval_weighted-precision": 0.7328289572198895,
|
131 |
+
"eval_weighted-recall": 0.7271739130434782,
|
132 |
+
"step": 1617
|
133 |
+
},
|
134 |
+
{
|
135 |
+
"epoch": 8.0,
|
136 |
+
"eval_accuracy": 0.7217391304347827,
|
137 |
+
"eval_loss": 0.9858090877532959,
|
138 |
+
"eval_macro-f1": 0.689163447413493,
|
139 |
+
"eval_macro-precision": 0.7090289269200102,
|
140 |
+
"eval_macro-recall": 0.6776571823481318,
|
141 |
+
"eval_runtime": 3.6807,
|
142 |
+
"eval_samples_per_second": 249.952,
|
143 |
+
"eval_steps_per_second": 7.879,
|
144 |
+
"eval_weighted-f1": 0.7165836364208036,
|
145 |
+
"eval_weighted-precision": 0.7206730807638884,
|
146 |
+
"eval_weighted-recall": 0.7217391304347827,
|
147 |
+
"step": 1848
|
148 |
+
},
|
149 |
+
{
|
150 |
+
"epoch": 8.66,
|
151 |
+
"learning_rate": 4.3530543530543535e-05,
|
152 |
+
"loss": 0.2896,
|
153 |
+
"step": 2000
|
154 |
+
},
|
155 |
+
{
|
156 |
+
"epoch": 9.0,
|
157 |
+
"eval_accuracy": 0.7206521739130435,
|
158 |
+
"eval_loss": 1.0959097146987915,
|
159 |
+
"eval_macro-f1": 0.6881695092418435,
|
160 |
+
"eval_macro-precision": 0.7242135136847904,
|
161 |
+
"eval_macro-recall": 0.6739069406781741,
|
162 |
+
"eval_runtime": 3.6639,
|
163 |
+
"eval_samples_per_second": 251.1,
|
164 |
+
"eval_steps_per_second": 7.915,
|
165 |
+
"eval_weighted-f1": 0.721541258098875,
|
166 |
+
"eval_weighted-precision": 0.7354744485281628,
|
167 |
+
"eval_weighted-recall": 0.7206521739130435,
|
168 |
+
"step": 2079
|
169 |
+
},
|
170 |
+
{
|
171 |
+
"epoch": 10.0,
|
172 |
+
"eval_accuracy": 0.7402173913043478,
|
173 |
+
"eval_loss": 1.0843907594680786,
|
174 |
+
"eval_macro-f1": 0.7110726162631839,
|
175 |
+
"eval_macro-precision": 0.7142340249185155,
|
176 |
+
"eval_macro-recall": 0.7171490983289037,
|
177 |
+
"eval_runtime": 3.6707,
|
178 |
+
"eval_samples_per_second": 250.635,
|
179 |
+
"eval_steps_per_second": 7.9,
|
180 |
+
"eval_weighted-f1": 0.7389745804216191,
|
181 |
+
"eval_weighted-precision": 0.7454086875631871,
|
182 |
+
"eval_weighted-recall": 0.7402173913043478,
|
183 |
+
"step": 2310
|
184 |
+
},
|
185 |
+
{
|
186 |
+
"epoch": 10.82,
|
187 |
+
"learning_rate": 4.0524290524290525e-05,
|
188 |
+
"loss": 0.1697,
|
189 |
+
"step": 2500
|
190 |
+
},
|
191 |
+
{
|
192 |
+
"epoch": 11.0,
|
193 |
+
"eval_accuracy": 0.7445652173913043,
|
194 |
+
"eval_loss": 1.233216643333435,
|
195 |
+
"eval_macro-f1": 0.7174385595847431,
|
196 |
+
"eval_macro-precision": 0.7222220197958554,
|
197 |
+
"eval_macro-recall": 0.7223862957961207,
|
198 |
+
"eval_runtime": 3.6639,
|
199 |
+
"eval_samples_per_second": 251.1,
|
200 |
+
"eval_steps_per_second": 7.915,
|
201 |
+
"eval_weighted-f1": 0.7415516921744333,
|
202 |
+
"eval_weighted-precision": 0.7454222933021499,
|
203 |
+
"eval_weighted-recall": 0.7445652173913043,
|
204 |
+
"step": 2541
|
205 |
+
},
|
206 |
+
{
|
207 |
+
"epoch": 12.0,
|
208 |
+
"eval_accuracy": 0.725,
|
209 |
+
"eval_loss": 1.3816906213760376,
|
210 |
+
"eval_macro-f1": 0.7016354693909223,
|
211 |
+
"eval_macro-precision": 0.7189672090787159,
|
212 |
+
"eval_macro-recall": 0.6935770369995492,
|
213 |
+
"eval_runtime": 3.6765,
|
214 |
+
"eval_samples_per_second": 250.236,
|
215 |
+
"eval_steps_per_second": 7.888,
|
216 |
+
"eval_weighted-f1": 0.724330602886681,
|
217 |
+
"eval_weighted-precision": 0.7285735967072182,
|
218 |
+
"eval_weighted-recall": 0.725,
|
219 |
+
"step": 2772
|
220 |
+
},
|
221 |
+
{
|
222 |
+
"epoch": 12.99,
|
223 |
+
"learning_rate": 3.751803751803752e-05,
|
224 |
+
"loss": 0.1103,
|
225 |
+
"step": 3000
|
226 |
+
},
|
227 |
+
{
|
228 |
+
"epoch": 13.0,
|
229 |
+
"eval_accuracy": 0.7489130434782608,
|
230 |
+
"eval_loss": 1.3391927480697632,
|
231 |
+
"eval_macro-f1": 0.7238074657296613,
|
232 |
+
"eval_macro-precision": 0.7446967874522551,
|
233 |
+
"eval_macro-recall": 0.712629424508482,
|
234 |
+
"eval_runtime": 3.6667,
|
235 |
+
"eval_samples_per_second": 250.906,
|
236 |
+
"eval_steps_per_second": 7.909,
|
237 |
+
"eval_weighted-f1": 0.7501963340512701,
|
238 |
+
"eval_weighted-precision": 0.7590165879471408,
|
239 |
+
"eval_weighted-recall": 0.7489130434782608,
|
240 |
+
"step": 3003
|
241 |
+
},
|
242 |
+
{
|
243 |
+
"epoch": 14.0,
|
244 |
+
"eval_accuracy": 0.7402173913043478,
|
245 |
+
"eval_loss": 1.5429991483688354,
|
246 |
+
"eval_macro-f1": 0.7240452372603429,
|
247 |
+
"eval_macro-precision": 0.7331291046121945,
|
248 |
+
"eval_macro-recall": 0.7243088646296482,
|
249 |
+
"eval_runtime": 3.6687,
|
250 |
+
"eval_samples_per_second": 250.767,
|
251 |
+
"eval_steps_per_second": 7.905,
|
252 |
+
"eval_weighted-f1": 0.7380284868051685,
|
253 |
+
"eval_weighted-precision": 0.7450380621081162,
|
254 |
+
"eval_weighted-recall": 0.7402173913043478,
|
255 |
+
"step": 3234
|
256 |
+
},
|
257 |
+
{
|
258 |
+
"epoch": 15.0,
|
259 |
+
"eval_accuracy": 0.741304347826087,
|
260 |
+
"eval_loss": 1.5235261917114258,
|
261 |
+
"eval_macro-f1": 0.7183262530521685,
|
262 |
+
"eval_macro-precision": 0.7374055253765689,
|
263 |
+
"eval_macro-recall": 0.710378384840802,
|
264 |
+
"eval_runtime": 3.6757,
|
265 |
+
"eval_samples_per_second": 250.291,
|
266 |
+
"eval_steps_per_second": 7.89,
|
267 |
+
"eval_weighted-f1": 0.7413765884828194,
|
268 |
+
"eval_weighted-precision": 0.7457027535340536,
|
269 |
+
"eval_weighted-recall": 0.741304347826087,
|
270 |
+
"step": 3465
|
271 |
+
},
|
272 |
+
{
|
273 |
+
"epoch": 15.15,
|
274 |
+
"learning_rate": 3.451178451178451e-05,
|
275 |
+
"loss": 0.076,
|
276 |
+
"step": 3500
|
277 |
+
},
|
278 |
+
{
|
279 |
+
"epoch": 16.0,
|
280 |
+
"eval_accuracy": 0.7369565217391304,
|
281 |
+
"eval_loss": 1.601302981376648,
|
282 |
+
"eval_macro-f1": 0.7146795994306041,
|
283 |
+
"eval_macro-precision": 0.731834113865428,
|
284 |
+
"eval_macro-recall": 0.7046419450264447,
|
285 |
+
"eval_runtime": 3.6629,
|
286 |
+
"eval_samples_per_second": 251.17,
|
287 |
+
"eval_steps_per_second": 7.917,
|
288 |
+
"eval_weighted-f1": 0.7361455920467442,
|
289 |
+
"eval_weighted-precision": 0.7414209945981161,
|
290 |
+
"eval_weighted-recall": 0.7369565217391304,
|
291 |
+
"step": 3696
|
292 |
+
},
|
293 |
+
{
|
294 |
+
"epoch": 17.0,
|
295 |
+
"eval_accuracy": 0.7521739130434782,
|
296 |
+
"eval_loss": 1.6069446802139282,
|
297 |
+
"eval_macro-f1": 0.72890524872289,
|
298 |
+
"eval_macro-precision": 0.7550074105527117,
|
299 |
+
"eval_macro-recall": 0.7143027398745371,
|
300 |
+
"eval_runtime": 3.6875,
|
301 |
+
"eval_samples_per_second": 249.492,
|
302 |
+
"eval_steps_per_second": 7.864,
|
303 |
+
"eval_weighted-f1": 0.750626634711916,
|
304 |
+
"eval_weighted-precision": 0.7542096149679086,
|
305 |
+
"eval_weighted-recall": 0.7521739130434782,
|
306 |
+
"step": 3927
|
307 |
+
},
|
308 |
+
{
|
309 |
+
"epoch": 17.32,
|
310 |
+
"learning_rate": 3.1505531505531506e-05,
|
311 |
+
"loss": 0.0599,
|
312 |
+
"step": 4000
|
313 |
+
},
|
314 |
+
{
|
315 |
+
"epoch": 18.0,
|
316 |
+
"eval_accuracy": 0.7380434782608696,
|
317 |
+
"eval_loss": 1.6708563566207886,
|
318 |
+
"eval_macro-f1": 0.7113858264976506,
|
319 |
+
"eval_macro-precision": 0.721360196572633,
|
320 |
+
"eval_macro-recall": 0.7084908417098105,
|
321 |
+
"eval_runtime": 3.6673,
|
322 |
+
"eval_samples_per_second": 250.863,
|
323 |
+
"eval_steps_per_second": 7.908,
|
324 |
+
"eval_weighted-f1": 0.7362916788435598,
|
325 |
+
"eval_weighted-precision": 0.7410606549056714,
|
326 |
+
"eval_weighted-recall": 0.7380434782608696,
|
327 |
+
"step": 4158
|
328 |
+
},
|
329 |
+
{
|
330 |
+
"epoch": 19.0,
|
331 |
+
"eval_accuracy": 0.7304347826086957,
|
332 |
+
"eval_loss": 1.7036793231964111,
|
333 |
+
"eval_macro-f1": 0.706200706354292,
|
334 |
+
"eval_macro-precision": 0.725013063692726,
|
335 |
+
"eval_macro-recall": 0.6960154772814597,
|
336 |
+
"eval_runtime": 3.6618,
|
337 |
+
"eval_samples_per_second": 251.244,
|
338 |
+
"eval_steps_per_second": 7.92,
|
339 |
+
"eval_weighted-f1": 0.7272025757986477,
|
340 |
+
"eval_weighted-precision": 0.7299415345713408,
|
341 |
+
"eval_weighted-recall": 0.7304347826086957,
|
342 |
+
"step": 4389
|
343 |
+
},
|
344 |
+
{
|
345 |
+
"epoch": 19.48,
|
346 |
+
"learning_rate": 2.8499278499278502e-05,
|
347 |
+
"loss": 0.0527,
|
348 |
+
"step": 4500
|
349 |
+
},
|
350 |
+
{
|
351 |
+
"epoch": 20.0,
|
352 |
+
"eval_accuracy": 0.7456521739130435,
|
353 |
+
"eval_loss": 1.6668744087219238,
|
354 |
+
"eval_macro-f1": 0.7224498874030757,
|
355 |
+
"eval_macro-precision": 0.7310054057580726,
|
356 |
+
"eval_macro-recall": 0.7165591792061506,
|
357 |
+
"eval_runtime": 3.6616,
|
358 |
+
"eval_samples_per_second": 251.257,
|
359 |
+
"eval_steps_per_second": 7.92,
|
360 |
+
"eval_weighted-f1": 0.7462188604522836,
|
361 |
+
"eval_weighted-precision": 0.748502249382744,
|
362 |
+
"eval_weighted-recall": 0.7456521739130435,
|
363 |
+
"step": 4620
|
364 |
+
},
|
365 |
+
{
|
366 |
+
"epoch": 21.0,
|
367 |
+
"eval_accuracy": 0.7369565217391304,
|
368 |
+
"eval_loss": 1.714359998703003,
|
369 |
+
"eval_macro-f1": 0.7010216405318593,
|
370 |
+
"eval_macro-precision": 0.7089052674512984,
|
371 |
+
"eval_macro-recall": 0.698099718977543,
|
372 |
+
"eval_runtime": 3.6583,
|
373 |
+
"eval_samples_per_second": 251.485,
|
374 |
+
"eval_steps_per_second": 7.927,
|
375 |
+
"eval_weighted-f1": 0.7359926399774661,
|
376 |
+
"eval_weighted-precision": 0.7389162747277125,
|
377 |
+
"eval_weighted-recall": 0.7369565217391304,
|
378 |
+
"step": 4851
|
379 |
+
},
|
380 |
+
{
|
381 |
+
"epoch": 21.65,
|
382 |
+
"learning_rate": 2.5493025493025498e-05,
|
383 |
+
"loss": 0.041,
|
384 |
+
"step": 5000
|
385 |
+
},
|
386 |
+
{
|
387 |
+
"epoch": 22.0,
|
388 |
+
"eval_accuracy": 0.741304347826087,
|
389 |
+
"eval_loss": 1.8112448453903198,
|
390 |
+
"eval_macro-f1": 0.7129367870323943,
|
391 |
+
"eval_macro-precision": 0.7109062719547,
|
392 |
+
"eval_macro-recall": 0.7246584013705878,
|
393 |
+
"eval_runtime": 3.6643,
|
394 |
+
"eval_samples_per_second": 251.071,
|
395 |
+
"eval_steps_per_second": 7.914,
|
396 |
+
"eval_weighted-f1": 0.7373824826939279,
|
397 |
+
"eval_weighted-precision": 0.742304135787633,
|
398 |
+
"eval_weighted-recall": 0.741304347826087,
|
399 |
+
"step": 5082
|
400 |
+
},
|
401 |
+
{
|
402 |
+
"epoch": 23.0,
|
403 |
+
"eval_accuracy": 0.7358695652173913,
|
404 |
+
"eval_loss": 1.776945948600769,
|
405 |
+
"eval_macro-f1": 0.7100717867057288,
|
406 |
+
"eval_macro-precision": 0.7175705473737001,
|
407 |
+
"eval_macro-recall": 0.7091991070542707,
|
408 |
+
"eval_runtime": 3.6635,
|
409 |
+
"eval_samples_per_second": 251.123,
|
410 |
+
"eval_steps_per_second": 7.916,
|
411 |
+
"eval_weighted-f1": 0.7345006810309644,
|
412 |
+
"eval_weighted-precision": 0.7390098845189911,
|
413 |
+
"eval_weighted-recall": 0.7358695652173913,
|
414 |
+
"step": 5313
|
415 |
+
},
|
416 |
+
{
|
417 |
+
"epoch": 23.81,
|
418 |
+
"learning_rate": 2.2486772486772487e-05,
|
419 |
+
"loss": 0.0412,
|
420 |
+
"step": 5500
|
421 |
+
},
|
422 |
+
{
|
423 |
+
"epoch": 24.0,
|
424 |
+
"eval_accuracy": 0.75,
|
425 |
+
"eval_loss": 1.747084140777588,
|
426 |
+
"eval_macro-f1": 0.7227708998896428,
|
427 |
+
"eval_macro-precision": 0.7279946870184277,
|
428 |
+
"eval_macro-recall": 0.7269702794261114,
|
429 |
+
"eval_runtime": 3.6637,
|
430 |
+
"eval_samples_per_second": 251.112,
|
431 |
+
"eval_steps_per_second": 7.915,
|
432 |
+
"eval_weighted-f1": 0.7458470196881466,
|
433 |
+
"eval_weighted-precision": 0.7496528420569815,
|
434 |
+
"eval_weighted-recall": 0.75,
|
435 |
+
"step": 5544
|
436 |
+
},
|
437 |
+
{
|
438 |
+
"epoch": 25.0,
|
439 |
+
"eval_accuracy": 0.7532608695652174,
|
440 |
+
"eval_loss": 1.7346147298812866,
|
441 |
+
"eval_macro-f1": 0.7300620988998959,
|
442 |
+
"eval_macro-precision": 0.7254323915116926,
|
443 |
+
"eval_macro-recall": 0.7396215021682684,
|
444 |
+
"eval_runtime": 3.6654,
|
445 |
+
"eval_samples_per_second": 250.999,
|
446 |
+
"eval_steps_per_second": 7.912,
|
447 |
+
"eval_weighted-f1": 0.7504535503896388,
|
448 |
+
"eval_weighted-precision": 0.7526891843637886,
|
449 |
+
"eval_weighted-recall": 0.7532608695652174,
|
450 |
+
"step": 5775
|
451 |
+
},
|
452 |
+
{
|
453 |
+
"epoch": 25.97,
|
454 |
+
"learning_rate": 1.9480519480519483e-05,
|
455 |
+
"loss": 0.0326,
|
456 |
+
"step": 6000
|
457 |
+
},
|
458 |
+
{
|
459 |
+
"epoch": 26.0,
|
460 |
+
"eval_accuracy": 0.7456521739130435,
|
461 |
+
"eval_loss": 1.773017168045044,
|
462 |
+
"eval_macro-f1": 0.7210970682285488,
|
463 |
+
"eval_macro-precision": 0.7283775906058515,
|
464 |
+
"eval_macro-recall": 0.719270945602435,
|
465 |
+
"eval_runtime": 3.6601,
|
466 |
+
"eval_samples_per_second": 251.357,
|
467 |
+
"eval_steps_per_second": 7.923,
|
468 |
+
"eval_weighted-f1": 0.7454697580769286,
|
469 |
+
"eval_weighted-precision": 0.7489157944224945,
|
470 |
+
"eval_weighted-recall": 0.7456521739130435,
|
471 |
+
"step": 6006
|
472 |
+
},
|
473 |
+
{
|
474 |
+
"epoch": 27.0,
|
475 |
+
"eval_accuracy": 0.741304347826087,
|
476 |
+
"eval_loss": 1.7493728399276733,
|
477 |
+
"eval_macro-f1": 0.7025880602354205,
|
478 |
+
"eval_macro-precision": 0.7130648727750518,
|
479 |
+
"eval_macro-recall": 0.6993768549946884,
|
480 |
+
"eval_runtime": 3.6688,
|
481 |
+
"eval_samples_per_second": 250.762,
|
482 |
+
"eval_steps_per_second": 7.904,
|
483 |
+
"eval_weighted-f1": 0.7414220307733658,
|
484 |
+
"eval_weighted-precision": 0.7452401075563395,
|
485 |
+
"eval_weighted-recall": 0.741304347826087,
|
486 |
+
"step": 6237
|
487 |
+
},
|
488 |
+
{
|
489 |
+
"epoch": 28.0,
|
490 |
+
"eval_accuracy": 0.7380434782608696,
|
491 |
+
"eval_loss": 1.7450823783874512,
|
492 |
+
"eval_macro-f1": 0.7026259912227975,
|
493 |
+
"eval_macro-precision": 0.7214901347374018,
|
494 |
+
"eval_macro-recall": 0.6911837077117138,
|
495 |
+
"eval_runtime": 3.7325,
|
496 |
+
"eval_samples_per_second": 246.486,
|
497 |
+
"eval_steps_per_second": 7.77,
|
498 |
+
"eval_weighted-f1": 0.736513945546438,
|
499 |
+
"eval_weighted-precision": 0.7385934880642558,
|
500 |
+
"eval_weighted-recall": 0.7380434782608696,
|
501 |
+
"step": 6468
|
502 |
+
},
|
503 |
+
{
|
504 |
+
"epoch": 28.14,
|
505 |
+
"learning_rate": 1.6474266474266476e-05,
|
506 |
+
"loss": 0.0257,
|
507 |
+
"step": 6500
|
508 |
+
},
|
509 |
+
{
|
510 |
+
"epoch": 29.0,
|
511 |
+
"eval_accuracy": 0.7402173913043478,
|
512 |
+
"eval_loss": 1.7633217573165894,
|
513 |
+
"eval_macro-f1": 0.7134642108516674,
|
514 |
+
"eval_macro-precision": 0.7190433251313625,
|
515 |
+
"eval_macro-recall": 0.710258338303699,
|
516 |
+
"eval_runtime": 3.6817,
|
517 |
+
"eval_samples_per_second": 249.884,
|
518 |
+
"eval_steps_per_second": 7.877,
|
519 |
+
"eval_weighted-f1": 0.7398481546483754,
|
520 |
+
"eval_weighted-precision": 0.7415064106206414,
|
521 |
+
"eval_weighted-recall": 0.7402173913043478,
|
522 |
+
"step": 6699
|
523 |
+
},
|
524 |
+
{
|
525 |
+
"epoch": 30.0,
|
526 |
+
"eval_accuracy": 0.7347826086956522,
|
527 |
+
"eval_loss": 1.820716381072998,
|
528 |
+
"eval_macro-f1": 0.7078683429969447,
|
529 |
+
"eval_macro-precision": 0.7372603591067731,
|
530 |
+
"eval_macro-recall": 0.6893626457978533,
|
531 |
+
"eval_runtime": 3.7068,
|
532 |
+
"eval_samples_per_second": 248.19,
|
533 |
+
"eval_steps_per_second": 7.823,
|
534 |
+
"eval_weighted-f1": 0.7322350095276792,
|
535 |
+
"eval_weighted-precision": 0.7372777947320607,
|
536 |
+
"eval_weighted-recall": 0.7347826086956522,
|
537 |
+
"step": 6930
|
538 |
+
},
|
539 |
+
{
|
540 |
+
"epoch": 30.3,
|
541 |
+
"learning_rate": 1.3468013468013468e-05,
|
542 |
+
"loss": 0.0262,
|
543 |
+
"step": 7000
|
544 |
+
},
|
545 |
+
{
|
546 |
+
"epoch": 31.0,
|
547 |
+
"eval_accuracy": 0.7510869565217392,
|
548 |
+
"eval_loss": 1.76492178440094,
|
549 |
+
"eval_macro-f1": 0.731348188671936,
|
550 |
+
"eval_macro-precision": 0.7382460346691814,
|
551 |
+
"eval_macro-recall": 0.7298883924645497,
|
552 |
+
"eval_runtime": 3.6813,
|
553 |
+
"eval_samples_per_second": 249.913,
|
554 |
+
"eval_steps_per_second": 7.878,
|
555 |
+
"eval_weighted-f1": 0.7508384750022834,
|
556 |
+
"eval_weighted-precision": 0.7539289140986796,
|
557 |
+
"eval_weighted-recall": 0.7510869565217392,
|
558 |
+
"step": 7161
|
559 |
+
},
|
560 |
+
{
|
561 |
+
"epoch": 32.0,
|
562 |
+
"eval_accuracy": 0.7358695652173913,
|
563 |
+
"eval_loss": 1.8048666715621948,
|
564 |
+
"eval_macro-f1": 0.7135206623010025,
|
565 |
+
"eval_macro-precision": 0.7206599735879954,
|
566 |
+
"eval_macro-recall": 0.713146029256634,
|
567 |
+
"eval_runtime": 3.6665,
|
568 |
+
"eval_samples_per_second": 250.92,
|
569 |
+
"eval_steps_per_second": 7.909,
|
570 |
+
"eval_weighted-f1": 0.7342617186640648,
|
571 |
+
"eval_weighted-precision": 0.7381810820989364,
|
572 |
+
"eval_weighted-recall": 0.7358695652173913,
|
573 |
+
"step": 7392
|
574 |
+
},
|
575 |
+
{
|
576 |
+
"epoch": 32.47,
|
577 |
+
"learning_rate": 1.0461760461760463e-05,
|
578 |
+
"loss": 0.0195,
|
579 |
+
"step": 7500
|
580 |
+
},
|
581 |
+
{
|
582 |
+
"epoch": 33.0,
|
583 |
+
"eval_accuracy": 0.7434782608695653,
|
584 |
+
"eval_loss": 1.7627431154251099,
|
585 |
+
"eval_macro-f1": 0.72002488158224,
|
586 |
+
"eval_macro-precision": 0.727980412915839,
|
587 |
+
"eval_macro-recall": 0.7171781195809488,
|
588 |
+
"eval_runtime": 3.6606,
|
589 |
+
"eval_samples_per_second": 251.327,
|
590 |
+
"eval_steps_per_second": 7.922,
|
591 |
+
"eval_weighted-f1": 0.7428966222335778,
|
592 |
+
"eval_weighted-precision": 0.7455932383430586,
|
593 |
+
"eval_weighted-recall": 0.7434782608695653,
|
594 |
+
"step": 7623
|
595 |
+
},
|
596 |
+
{
|
597 |
+
"epoch": 34.0,
|
598 |
+
"eval_accuracy": 0.7445652173913043,
|
599 |
+
"eval_loss": 1.8427157402038574,
|
600 |
+
"eval_macro-f1": 0.7238120517774087,
|
601 |
+
"eval_macro-precision": 0.7310564585025658,
|
602 |
+
"eval_macro-recall": 0.7232388744393482,
|
603 |
+
"eval_runtime": 3.6585,
|
604 |
+
"eval_samples_per_second": 251.468,
|
605 |
+
"eval_steps_per_second": 7.927,
|
606 |
+
"eval_weighted-f1": 0.7436940578232905,
|
607 |
+
"eval_weighted-precision": 0.7475437346184277,
|
608 |
+
"eval_weighted-recall": 0.7445652173913043,
|
609 |
+
"step": 7854
|
610 |
+
},
|
611 |
+
{
|
612 |
+
"epoch": 34.63,
|
613 |
+
"learning_rate": 7.455507455507456e-06,
|
614 |
+
"loss": 0.0188,
|
615 |
+
"step": 8000
|
616 |
+
},
|
617 |
+
{
|
618 |
+
"epoch": 35.0,
|
619 |
+
"eval_accuracy": 0.7445652173913043,
|
620 |
+
"eval_loss": 1.82598078250885,
|
621 |
+
"eval_macro-f1": 0.7226558273088113,
|
622 |
+
"eval_macro-precision": 0.7280808646863082,
|
623 |
+
"eval_macro-recall": 0.721750060320641,
|
624 |
+
"eval_runtime": 3.9179,
|
625 |
+
"eval_samples_per_second": 234.822,
|
626 |
+
"eval_steps_per_second": 7.402,
|
627 |
+
"eval_weighted-f1": 0.7433397528033767,
|
628 |
+
"eval_weighted-precision": 0.7455193887868321,
|
629 |
+
"eval_weighted-recall": 0.7445652173913043,
|
630 |
+
"step": 8085
|
631 |
+
},
|
632 |
+
{
|
633 |
+
"epoch": 36.0,
|
634 |
+
"eval_accuracy": 0.7521739130434782,
|
635 |
+
"eval_loss": 1.8167239427566528,
|
636 |
+
"eval_macro-f1": 0.7311172141769898,
|
637 |
+
"eval_macro-precision": 0.7387132761496166,
|
638 |
+
"eval_macro-recall": 0.7260195259385496,
|
639 |
+
"eval_runtime": 3.6724,
|
640 |
+
"eval_samples_per_second": 250.519,
|
641 |
+
"eval_steps_per_second": 7.897,
|
642 |
+
"eval_weighted-f1": 0.7512808559429369,
|
643 |
+
"eval_weighted-precision": 0.7518176004978223,
|
644 |
+
"eval_weighted-recall": 0.7521739130434782,
|
645 |
+
"step": 8316
|
646 |
+
},
|
647 |
+
{
|
648 |
+
"epoch": 36.8,
|
649 |
+
"learning_rate": 4.44925444925445e-06,
|
650 |
+
"loss": 0.0176,
|
651 |
+
"step": 8500
|
652 |
+
},
|
653 |
+
{
|
654 |
+
"epoch": 37.0,
|
655 |
+
"eval_accuracy": 0.75,
|
656 |
+
"eval_loss": 1.8308371305465698,
|
657 |
+
"eval_macro-f1": 0.7308495034985188,
|
658 |
+
"eval_macro-precision": 0.7403845771754249,
|
659 |
+
"eval_macro-recall": 0.7242967832014863,
|
660 |
+
"eval_runtime": 3.6615,
|
661 |
+
"eval_samples_per_second": 251.261,
|
662 |
+
"eval_steps_per_second": 7.92,
|
663 |
+
"eval_weighted-f1": 0.7478384491335044,
|
664 |
+
"eval_weighted-precision": 0.7485903968276678,
|
665 |
+
"eval_weighted-recall": 0.75,
|
666 |
+
"step": 8547
|
667 |
+
},
|
668 |
+
{
|
669 |
+
"epoch": 38.0,
|
670 |
+
"eval_accuracy": 0.7467391304347826,
|
671 |
+
"eval_loss": 1.807198405265808,
|
672 |
+
"eval_macro-f1": 0.7291086447475449,
|
673 |
+
"eval_macro-precision": 0.7329302540393156,
|
674 |
+
"eval_macro-recall": 0.7271188451475986,
|
675 |
+
"eval_runtime": 3.6625,
|
676 |
+
"eval_samples_per_second": 251.195,
|
677 |
+
"eval_steps_per_second": 7.918,
|
678 |
+
"eval_weighted-f1": 0.7458071950555136,
|
679 |
+
"eval_weighted-precision": 0.7463050676859623,
|
680 |
+
"eval_weighted-recall": 0.7467391304347826,
|
681 |
+
"step": 8778
|
682 |
+
},
|
683 |
+
{
|
684 |
+
"epoch": 38.96,
|
685 |
+
"learning_rate": 1.4430014430014432e-06,
|
686 |
+
"loss": 0.0164,
|
687 |
+
"step": 9000
|
688 |
+
},
|
689 |
+
{
|
690 |
+
"epoch": 39.0,
|
691 |
+
"eval_accuracy": 0.7456521739130435,
|
692 |
+
"eval_loss": 1.8073784112930298,
|
693 |
+
"eval_macro-f1": 0.7256401482067129,
|
694 |
+
"eval_macro-precision": 0.733018922323657,
|
695 |
+
"eval_macro-recall": 0.7204178880954032,
|
696 |
+
"eval_runtime": 3.673,
|
697 |
+
"eval_samples_per_second": 250.478,
|
698 |
+
"eval_steps_per_second": 7.896,
|
699 |
+
"eval_weighted-f1": 0.7445134806621682,
|
700 |
+
"eval_weighted-precision": 0.7450872143093246,
|
701 |
+
"eval_weighted-recall": 0.7456521739130435,
|
702 |
+
"step": 9009
|
703 |
+
},
|
704 |
+
{
|
705 |
+
"epoch": 40.0,
|
706 |
+
"eval_accuracy": 0.741304347826087,
|
707 |
+
"eval_loss": 1.818052887916565,
|
708 |
+
"eval_macro-f1": 0.7215539592969167,
|
709 |
+
"eval_macro-precision": 0.7317731195834322,
|
710 |
+
"eval_macro-recall": 0.7133028256075337,
|
711 |
+
"eval_runtime": 3.6643,
|
712 |
+
"eval_samples_per_second": 251.069,
|
713 |
+
"eval_steps_per_second": 7.914,
|
714 |
+
"eval_weighted-f1": 0.7401045633293094,
|
715 |
+
"eval_weighted-precision": 0.740661997113788,
|
716 |
+
"eval_weighted-recall": 0.741304347826087,
|
717 |
+
"step": 9240
|
718 |
+
}
|
719 |
+
],
|
720 |
+
"logging_steps": 500,
|
721 |
+
"max_steps": 9240,
|
722 |
+
"num_input_tokens_seen": 0,
|
723 |
+
"num_train_epochs": 40,
|
724 |
+
"save_steps": 500,
|
725 |
+
"total_flos": 3.902655553929216e+16,
|
726 |
+
"train_batch_size": 32,
|
727 |
+
"trial_name": null,
|
728 |
+
"trial_params": null
|
729 |
+
}
|
training_args.bin
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:3d25ebe045df09d09a09adfed7a087270b003ff43849571039aab6046873db6f
|
3 |
+
size 4335
|