Commit
•
8d475d2
1
Parent(s):
14024fd
model upload
Browse files- config.json +67 -0
- optimizer.pt +3 -0
- pytorch_model.bin +3 -0
- rng_state.pth +3 -0
- scaler.pt +3 -0
- scheduler.pt +3 -0
- special_tokens_map.json +7 -0
- tokenizer.json +0 -0
- tokenizer_config.json +16 -0
- trainer_state.json +736 -0
- training_args.bin +3 -0
- vocab.txt +0 -0
config.json
ADDED
@@ -0,0 +1,67 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"_name_or_path": "csebuetnlp/banglabert",
|
3 |
+
"architectures": [
|
4 |
+
"ElectraForSequenceClassification"
|
5 |
+
],
|
6 |
+
"attention_probs_dropout_prob": 0.1,
|
7 |
+
"classifier_dropout": null,
|
8 |
+
"embedding_size": 768,
|
9 |
+
"hidden_act": "gelu",
|
10 |
+
"hidden_dropout_prob": 0.1,
|
11 |
+
"hidden_size": 768,
|
12 |
+
"id2label": {
|
13 |
+
"0": "LABEL_0",
|
14 |
+
"1": "LABEL_1",
|
15 |
+
"2": "LABEL_2",
|
16 |
+
"3": "LABEL_3",
|
17 |
+
"4": "LABEL_4",
|
18 |
+
"5": "LABEL_5",
|
19 |
+
"6": "LABEL_6",
|
20 |
+
"7": "LABEL_7",
|
21 |
+
"8": "LABEL_8",
|
22 |
+
"9": "LABEL_9",
|
23 |
+
"10": "LABEL_10",
|
24 |
+
"11": "LABEL_11",
|
25 |
+
"12": "LABEL_12",
|
26 |
+
"13": "LABEL_13",
|
27 |
+
"14": "LABEL_14",
|
28 |
+
"15": "LABEL_15"
|
29 |
+
},
|
30 |
+
"initializer_range": 0.02,
|
31 |
+
"intermediate_size": 3072,
|
32 |
+
"label2id": {
|
33 |
+
"LABEL_0": 0,
|
34 |
+
"LABEL_1": 1,
|
35 |
+
"LABEL_10": 10,
|
36 |
+
"LABEL_11": 11,
|
37 |
+
"LABEL_12": 12,
|
38 |
+
"LABEL_13": 13,
|
39 |
+
"LABEL_14": 14,
|
40 |
+
"LABEL_15": 15,
|
41 |
+
"LABEL_2": 2,
|
42 |
+
"LABEL_3": 3,
|
43 |
+
"LABEL_4": 4,
|
44 |
+
"LABEL_5": 5,
|
45 |
+
"LABEL_6": 6,
|
46 |
+
"LABEL_7": 7,
|
47 |
+
"LABEL_8": 8,
|
48 |
+
"LABEL_9": 9
|
49 |
+
},
|
50 |
+
"layer_norm_eps": 1e-12,
|
51 |
+
"max_position_embeddings": 512,
|
52 |
+
"model_type": "electra",
|
53 |
+
"num_attention_heads": 12,
|
54 |
+
"num_hidden_layers": 12,
|
55 |
+
"pad_token_id": 0,
|
56 |
+
"position_embedding_type": "absolute",
|
57 |
+
"problem_type": "single_label_classification",
|
58 |
+
"summary_activation": "gelu",
|
59 |
+
"summary_last_dropout": 0.1,
|
60 |
+
"summary_type": "first",
|
61 |
+
"summary_use_proj": true,
|
62 |
+
"torch_dtype": "float32",
|
63 |
+
"transformers_version": "4.28.0",
|
64 |
+
"type_vocab_size": 2,
|
65 |
+
"use_cache": true,
|
66 |
+
"vocab_size": 32000
|
67 |
+
}
|
optimizer.pt
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:b2220dac4e654ff3e5bead99234a6eb3854b67d7ef2b37a14c5ce0d85cf9802c
|
3 |
+
size 885155077
|
pytorch_model.bin
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:485c31f487c3d6c435d8a4c950cf9c4630e4cfbc10f37d7f55a2c0f6f1f14686
|
3 |
+
size 442591989
|
rng_state.pth
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:f5394c5001c71f202613b40c087dccd6e91042e2d7bca7c6efc2e9a6b8662927
|
3 |
+
size 14575
|
scaler.pt
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:62ed27cc64ae9a3bb244e6e5a43c724c14d79ed561a71664dcfcddb7f88ca76c
|
3 |
+
size 557
|
scheduler.pt
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:addf57e86c5a56934ddd72d5eed40ef14e2357605c55b9cc53addab1e75680e7
|
3 |
+
size 627
|
special_tokens_map.json
ADDED
@@ -0,0 +1,7 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"cls_token": "[CLS]",
|
3 |
+
"mask_token": "[MASK]",
|
4 |
+
"pad_token": "[PAD]",
|
5 |
+
"sep_token": "[SEP]",
|
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 +1,16 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"clean_up_tokenization_spaces": true,
|
3 |
+
"cls_token": "[CLS]",
|
4 |
+
"do_basic_tokenize": true,
|
5 |
+
"do_lower_case": false,
|
6 |
+
"full_tokenizer_file": null,
|
7 |
+
"mask_token": "[MASK]",
|
8 |
+
"model_max_length": 1000000000000000019884624838656,
|
9 |
+
"never_split": null,
|
10 |
+
"pad_token": "[PAD]",
|
11 |
+
"sep_token": "[SEP]",
|
12 |
+
"strip_accents": null,
|
13 |
+
"tokenize_chinese_chars": false,
|
14 |
+
"tokenizer_class": "ElectraTokenizer",
|
15 |
+
"unk_token": "[UNK]"
|
16 |
+
}
|
trainer_state.json
ADDED
@@ -0,0 +1,736 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"best_metric": null,
|
3 |
+
"best_model_checkpoint": null,
|
4 |
+
"epoch": 30.0,
|
5 |
+
"global_step": 13500,
|
6 |
+
"is_hyper_param_search": false,
|
7 |
+
"is_local_process_zero": true,
|
8 |
+
"is_world_process_zero": true,
|
9 |
+
"log_history": [
|
10 |
+
{
|
11 |
+
"epoch": 0.5,
|
12 |
+
"eval_f1": 0.9838200292792664,
|
13 |
+
"eval_loss": 0.3369638919830322,
|
14 |
+
"eval_runtime": 9.8875,
|
15 |
+
"eval_samples_per_second": 363.287,
|
16 |
+
"eval_steps_per_second": 11.429,
|
17 |
+
"step": 225
|
18 |
+
},
|
19 |
+
{
|
20 |
+
"epoch": 1.0,
|
21 |
+
"learning_rate": 1.933777777777778e-05,
|
22 |
+
"loss": 0.7525,
|
23 |
+
"step": 449
|
24 |
+
},
|
25 |
+
{
|
26 |
+
"epoch": 1.0,
|
27 |
+
"eval_f1": 0.9947156879317626,
|
28 |
+
"eval_loss": 0.06897161155939102,
|
29 |
+
"eval_runtime": 9.8175,
|
30 |
+
"eval_samples_per_second": 365.878,
|
31 |
+
"eval_steps_per_second": 11.51,
|
32 |
+
"step": 450
|
33 |
+
},
|
34 |
+
{
|
35 |
+
"epoch": 1.5,
|
36 |
+
"eval_f1": 0.9963811589436764,
|
37 |
+
"eval_loss": 0.02461547963321209,
|
38 |
+
"eval_runtime": 9.8704,
|
39 |
+
"eval_samples_per_second": 363.916,
|
40 |
+
"eval_steps_per_second": 11.448,
|
41 |
+
"step": 675
|
42 |
+
},
|
43 |
+
{
|
44 |
+
"epoch": 2.0,
|
45 |
+
"learning_rate": 1.867555555555556e-05,
|
46 |
+
"loss": 0.0421,
|
47 |
+
"step": 898
|
48 |
+
},
|
49 |
+
{
|
50 |
+
"epoch": 2.0,
|
51 |
+
"eval_f1": 0.9944299040377919,
|
52 |
+
"eval_loss": 0.0366971492767334,
|
53 |
+
"eval_runtime": 9.8419,
|
54 |
+
"eval_samples_per_second": 364.97,
|
55 |
+
"eval_steps_per_second": 11.482,
|
56 |
+
"step": 900
|
57 |
+
},
|
58 |
+
{
|
59 |
+
"epoch": 2.5,
|
60 |
+
"eval_f1": 0.9952689302306932,
|
61 |
+
"eval_loss": 0.028725871816277504,
|
62 |
+
"eval_runtime": 9.8602,
|
63 |
+
"eval_samples_per_second": 364.292,
|
64 |
+
"eval_steps_per_second": 11.46,
|
65 |
+
"step": 1125
|
66 |
+
},
|
67 |
+
{
|
68 |
+
"epoch": 2.99,
|
69 |
+
"learning_rate": 1.801037037037037e-05,
|
70 |
+
"loss": 0.0171,
|
71 |
+
"step": 1347
|
72 |
+
},
|
73 |
+
{
|
74 |
+
"epoch": 3.0,
|
75 |
+
"eval_f1": 0.9974916981915504,
|
76 |
+
"eval_loss": 0.02087334357202053,
|
77 |
+
"eval_runtime": 9.8419,
|
78 |
+
"eval_samples_per_second": 364.971,
|
79 |
+
"eval_steps_per_second": 11.482,
|
80 |
+
"step": 1350
|
81 |
+
},
|
82 |
+
{
|
83 |
+
"epoch": 3.5,
|
84 |
+
"eval_f1": 0.9958079825309512,
|
85 |
+
"eval_loss": 0.027463000267744064,
|
86 |
+
"eval_runtime": 9.8899,
|
87 |
+
"eval_samples_per_second": 363.198,
|
88 |
+
"eval_steps_per_second": 11.426,
|
89 |
+
"step": 1575
|
90 |
+
},
|
91 |
+
{
|
92 |
+
"epoch": 3.99,
|
93 |
+
"learning_rate": 1.7345185185185187e-05,
|
94 |
+
"loss": 0.0101,
|
95 |
+
"step": 1796
|
96 |
+
},
|
97 |
+
{
|
98 |
+
"epoch": 4.0,
|
99 |
+
"eval_f1": 0.9923778241572203,
|
100 |
+
"eval_loss": 0.04307250306010246,
|
101 |
+
"eval_runtime": 9.8651,
|
102 |
+
"eval_samples_per_second": 364.112,
|
103 |
+
"eval_steps_per_second": 11.455,
|
104 |
+
"step": 1800
|
105 |
+
},
|
106 |
+
{
|
107 |
+
"epoch": 4.5,
|
108 |
+
"eval_f1": 0.9894604343019209,
|
109 |
+
"eval_loss": 0.06550969928503036,
|
110 |
+
"eval_runtime": 9.8831,
|
111 |
+
"eval_samples_per_second": 363.448,
|
112 |
+
"eval_steps_per_second": 11.434,
|
113 |
+
"step": 2025
|
114 |
+
},
|
115 |
+
{
|
116 |
+
"epoch": 4.99,
|
117 |
+
"learning_rate": 1.668e-05,
|
118 |
+
"loss": 0.0079,
|
119 |
+
"step": 2245
|
120 |
+
},
|
121 |
+
{
|
122 |
+
"epoch": 5.0,
|
123 |
+
"eval_f1": 0.9966504962899037,
|
124 |
+
"eval_loss": 0.024906333535909653,
|
125 |
+
"eval_runtime": 9.8822,
|
126 |
+
"eval_samples_per_second": 363.481,
|
127 |
+
"eval_steps_per_second": 11.435,
|
128 |
+
"step": 2250
|
129 |
+
},
|
130 |
+
{
|
131 |
+
"epoch": 5.5,
|
132 |
+
"eval_f1": 0.9947052626407842,
|
133 |
+
"eval_loss": 0.032973531633615494,
|
134 |
+
"eval_runtime": 9.8456,
|
135 |
+
"eval_samples_per_second": 364.831,
|
136 |
+
"eval_steps_per_second": 11.477,
|
137 |
+
"step": 2475
|
138 |
+
},
|
139 |
+
{
|
140 |
+
"epoch": 5.99,
|
141 |
+
"learning_rate": 1.6014814814814815e-05,
|
142 |
+
"loss": 0.014,
|
143 |
+
"step": 2694
|
144 |
+
},
|
145 |
+
{
|
146 |
+
"epoch": 6.0,
|
147 |
+
"eval_f1": 0.9958134976155982,
|
148 |
+
"eval_loss": 0.025115273892879486,
|
149 |
+
"eval_runtime": 9.8838,
|
150 |
+
"eval_samples_per_second": 363.422,
|
151 |
+
"eval_steps_per_second": 11.433,
|
152 |
+
"step": 2700
|
153 |
+
},
|
154 |
+
{
|
155 |
+
"epoch": 6.5,
|
156 |
+
"eval_f1": 0.9963697167771403,
|
157 |
+
"eval_loss": 0.014389083720743656,
|
158 |
+
"eval_runtime": 9.8519,
|
159 |
+
"eval_samples_per_second": 364.599,
|
160 |
+
"eval_steps_per_second": 11.47,
|
161 |
+
"step": 2925
|
162 |
+
},
|
163 |
+
{
|
164 |
+
"epoch": 6.98,
|
165 |
+
"learning_rate": 1.534962962962963e-05,
|
166 |
+
"loss": 0.0068,
|
167 |
+
"step": 3143
|
168 |
+
},
|
169 |
+
{
|
170 |
+
"epoch": 7.0,
|
171 |
+
"eval_f1": 0.9974888410650935,
|
172 |
+
"eval_loss": 0.01635473594069481,
|
173 |
+
"eval_runtime": 9.8836,
|
174 |
+
"eval_samples_per_second": 363.43,
|
175 |
+
"eval_steps_per_second": 11.433,
|
176 |
+
"step": 3150
|
177 |
+
},
|
178 |
+
{
|
179 |
+
"epoch": 7.5,
|
180 |
+
"eval_f1": 0.9980480978911765,
|
181 |
+
"eval_loss": 0.01281055435538292,
|
182 |
+
"eval_runtime": 9.8626,
|
183 |
+
"eval_samples_per_second": 364.203,
|
184 |
+
"eval_steps_per_second": 11.457,
|
185 |
+
"step": 3375
|
186 |
+
},
|
187 |
+
{
|
188 |
+
"epoch": 7.98,
|
189 |
+
"learning_rate": 1.4684444444444445e-05,
|
190 |
+
"loss": 0.0018,
|
191 |
+
"step": 3592
|
192 |
+
},
|
193 |
+
{
|
194 |
+
"epoch": 8.0,
|
195 |
+
"eval_f1": 0.9966572157308153,
|
196 |
+
"eval_loss": 0.021354708820581436,
|
197 |
+
"eval_runtime": 9.8914,
|
198 |
+
"eval_samples_per_second": 363.144,
|
199 |
+
"eval_steps_per_second": 11.424,
|
200 |
+
"step": 3600
|
201 |
+
},
|
202 |
+
{
|
203 |
+
"epoch": 8.5,
|
204 |
+
"eval_f1": 0.9969361037754005,
|
205 |
+
"eval_loss": 0.019004661589860916,
|
206 |
+
"eval_runtime": 9.8255,
|
207 |
+
"eval_samples_per_second": 365.578,
|
208 |
+
"eval_steps_per_second": 11.501,
|
209 |
+
"step": 3825
|
210 |
+
},
|
211 |
+
{
|
212 |
+
"epoch": 8.98,
|
213 |
+
"learning_rate": 1.4020740740740742e-05,
|
214 |
+
"loss": 0.0018,
|
215 |
+
"step": 4041
|
216 |
+
},
|
217 |
+
{
|
218 |
+
"epoch": 9.0,
|
219 |
+
"eval_f1": 0.9977696305095403,
|
220 |
+
"eval_loss": 0.01915433257818222,
|
221 |
+
"eval_runtime": 9.847,
|
222 |
+
"eval_samples_per_second": 364.78,
|
223 |
+
"eval_steps_per_second": 11.476,
|
224 |
+
"step": 4050
|
225 |
+
},
|
226 |
+
{
|
227 |
+
"epoch": 9.5,
|
228 |
+
"eval_f1": 0.9963730398525849,
|
229 |
+
"eval_loss": 0.02228739485144615,
|
230 |
+
"eval_runtime": 9.8515,
|
231 |
+
"eval_samples_per_second": 364.615,
|
232 |
+
"eval_steps_per_second": 11.47,
|
233 |
+
"step": 4275
|
234 |
+
},
|
235 |
+
{
|
236 |
+
"epoch": 9.98,
|
237 |
+
"learning_rate": 1.3355555555555557e-05,
|
238 |
+
"loss": 0.0049,
|
239 |
+
"step": 4490
|
240 |
+
},
|
241 |
+
{
|
242 |
+
"epoch": 10.0,
|
243 |
+
"eval_f1": 0.9958423076694589,
|
244 |
+
"eval_loss": 0.035607218742370605,
|
245 |
+
"eval_runtime": 9.8349,
|
246 |
+
"eval_samples_per_second": 365.229,
|
247 |
+
"eval_steps_per_second": 11.49,
|
248 |
+
"step": 4500
|
249 |
+
},
|
250 |
+
{
|
251 |
+
"epoch": 10.5,
|
252 |
+
"eval_f1": 0.9977709997223315,
|
253 |
+
"eval_loss": 0.014773285947740078,
|
254 |
+
"eval_runtime": 9.859,
|
255 |
+
"eval_samples_per_second": 364.335,
|
256 |
+
"eval_steps_per_second": 11.462,
|
257 |
+
"step": 4725
|
258 |
+
},
|
259 |
+
{
|
260 |
+
"epoch": 10.98,
|
261 |
+
"learning_rate": 1.2690370370370371e-05,
|
262 |
+
"loss": 0.0058,
|
263 |
+
"step": 4939
|
264 |
+
},
|
265 |
+
{
|
266 |
+
"epoch": 11.0,
|
267 |
+
"eval_f1": 0.9960966553810828,
|
268 |
+
"eval_loss": 0.027824491262435913,
|
269 |
+
"eval_runtime": 9.8473,
|
270 |
+
"eval_samples_per_second": 364.77,
|
271 |
+
"eval_steps_per_second": 11.475,
|
272 |
+
"step": 4950
|
273 |
+
},
|
274 |
+
{
|
275 |
+
"epoch": 11.5,
|
276 |
+
"eval_f1": 0.9958285144673014,
|
277 |
+
"eval_loss": 0.034932490438222885,
|
278 |
+
"eval_runtime": 9.8384,
|
279 |
+
"eval_samples_per_second": 365.101,
|
280 |
+
"eval_steps_per_second": 11.486,
|
281 |
+
"step": 5175
|
282 |
+
},
|
283 |
+
{
|
284 |
+
"epoch": 11.97,
|
285 |
+
"learning_rate": 1.2025185185185186e-05,
|
286 |
+
"loss": 0.004,
|
287 |
+
"step": 5388
|
288 |
+
},
|
289 |
+
{
|
290 |
+
"epoch": 12.0,
|
291 |
+
"eval_f1": 0.9958167666486853,
|
292 |
+
"eval_loss": 0.03234181925654411,
|
293 |
+
"eval_runtime": 9.83,
|
294 |
+
"eval_samples_per_second": 365.412,
|
295 |
+
"eval_steps_per_second": 11.495,
|
296 |
+
"step": 5400
|
297 |
+
},
|
298 |
+
{
|
299 |
+
"epoch": 12.5,
|
300 |
+
"eval_f1": 0.9960979327465159,
|
301 |
+
"eval_loss": 0.03011472336947918,
|
302 |
+
"eval_runtime": 9.9437,
|
303 |
+
"eval_samples_per_second": 361.234,
|
304 |
+
"eval_steps_per_second": 11.364,
|
305 |
+
"step": 5625
|
306 |
+
},
|
307 |
+
{
|
308 |
+
"epoch": 12.97,
|
309 |
+
"learning_rate": 1.136e-05,
|
310 |
+
"loss": 0.0002,
|
311 |
+
"step": 5837
|
312 |
+
},
|
313 |
+
{
|
314 |
+
"epoch": 13.0,
|
315 |
+
"eval_f1": 0.9966535238124058,
|
316 |
+
"eval_loss": 0.028114166110754013,
|
317 |
+
"eval_runtime": 9.9673,
|
318 |
+
"eval_samples_per_second": 360.379,
|
319 |
+
"eval_steps_per_second": 11.337,
|
320 |
+
"step": 5850
|
321 |
+
},
|
322 |
+
{
|
323 |
+
"epoch": 13.5,
|
324 |
+
"eval_f1": 0.9963785130348743,
|
325 |
+
"eval_loss": 0.031257264316082,
|
326 |
+
"eval_runtime": 9.9968,
|
327 |
+
"eval_samples_per_second": 359.313,
|
328 |
+
"eval_steps_per_second": 11.304,
|
329 |
+
"step": 6075
|
330 |
+
},
|
331 |
+
{
|
332 |
+
"epoch": 13.97,
|
333 |
+
"learning_rate": 1.0694814814814815e-05,
|
334 |
+
"loss": 0.0001,
|
335 |
+
"step": 6286
|
336 |
+
},
|
337 |
+
{
|
338 |
+
"epoch": 14.0,
|
339 |
+
"eval_f1": 0.9963822843309736,
|
340 |
+
"eval_loss": 0.026260120794177055,
|
341 |
+
"eval_runtime": 9.944,
|
342 |
+
"eval_samples_per_second": 361.222,
|
343 |
+
"eval_steps_per_second": 11.364,
|
344 |
+
"step": 6300
|
345 |
+
},
|
346 |
+
{
|
347 |
+
"epoch": 14.5,
|
348 |
+
"eval_f1": 0.9963822843309736,
|
349 |
+
"eval_loss": 0.026301411911845207,
|
350 |
+
"eval_runtime": 9.9178,
|
351 |
+
"eval_samples_per_second": 362.178,
|
352 |
+
"eval_steps_per_second": 11.394,
|
353 |
+
"step": 6525
|
354 |
+
},
|
355 |
+
{
|
356 |
+
"epoch": 14.97,
|
357 |
+
"learning_rate": 1.0031111111111112e-05,
|
358 |
+
"loss": 0.002,
|
359 |
+
"step": 6735
|
360 |
+
},
|
361 |
+
{
|
362 |
+
"epoch": 15.0,
|
363 |
+
"eval_f1": 0.9949833769458274,
|
364 |
+
"eval_loss": 0.045748304575681686,
|
365 |
+
"eval_runtime": 9.9794,
|
366 |
+
"eval_samples_per_second": 359.942,
|
367 |
+
"eval_steps_per_second": 11.323,
|
368 |
+
"step": 6750
|
369 |
+
},
|
370 |
+
{
|
371 |
+
"epoch": 15.5,
|
372 |
+
"eval_f1": 0.995825155358709,
|
373 |
+
"eval_loss": 0.03245578706264496,
|
374 |
+
"eval_runtime": 9.9495,
|
375 |
+
"eval_samples_per_second": 361.023,
|
376 |
+
"eval_steps_per_second": 11.357,
|
377 |
+
"step": 6975
|
378 |
+
},
|
379 |
+
{
|
380 |
+
"epoch": 15.96,
|
381 |
+
"learning_rate": 9.365925925925928e-06,
|
382 |
+
"loss": 0.0041,
|
383 |
+
"step": 7184
|
384 |
+
},
|
385 |
+
{
|
386 |
+
"epoch": 16.0,
|
387 |
+
"eval_f1": 0.9963795479966517,
|
388 |
+
"eval_loss": 0.02910827286541462,
|
389 |
+
"eval_runtime": 9.9694,
|
390 |
+
"eval_samples_per_second": 360.303,
|
391 |
+
"eval_steps_per_second": 11.335,
|
392 |
+
"step": 7200
|
393 |
+
},
|
394 |
+
{
|
395 |
+
"epoch": 16.5,
|
396 |
+
"eval_f1": 0.9952742268022056,
|
397 |
+
"eval_loss": 0.04952191188931465,
|
398 |
+
"eval_runtime": 9.9492,
|
399 |
+
"eval_samples_per_second": 361.033,
|
400 |
+
"eval_steps_per_second": 11.358,
|
401 |
+
"step": 7425
|
402 |
+
},
|
403 |
+
{
|
404 |
+
"epoch": 16.96,
|
405 |
+
"learning_rate": 8.700740740740742e-06,
|
406 |
+
"loss": 0.0047,
|
407 |
+
"step": 7633
|
408 |
+
},
|
409 |
+
{
|
410 |
+
"epoch": 17.0,
|
411 |
+
"eval_f1": 0.9949872709487171,
|
412 |
+
"eval_loss": 0.03917469084262848,
|
413 |
+
"eval_runtime": 9.9497,
|
414 |
+
"eval_samples_per_second": 361.015,
|
415 |
+
"eval_steps_per_second": 11.357,
|
416 |
+
"step": 7650
|
417 |
+
},
|
418 |
+
{
|
419 |
+
"epoch": 17.5,
|
420 |
+
"eval_f1": 0.9944269801435699,
|
421 |
+
"eval_loss": 0.03998776897788048,
|
422 |
+
"eval_runtime": 10.0031,
|
423 |
+
"eval_samples_per_second": 359.089,
|
424 |
+
"eval_steps_per_second": 11.297,
|
425 |
+
"step": 7875
|
426 |
+
},
|
427 |
+
{
|
428 |
+
"epoch": 17.96,
|
429 |
+
"learning_rate": 8.035555555555556e-06,
|
430 |
+
"loss": 0.0043,
|
431 |
+
"step": 8082
|
432 |
+
},
|
433 |
+
{
|
434 |
+
"epoch": 18.0,
|
435 |
+
"eval_f1": 0.9947222403458923,
|
436 |
+
"eval_loss": 0.049297936260700226,
|
437 |
+
"eval_runtime": 9.9403,
|
438 |
+
"eval_samples_per_second": 361.359,
|
439 |
+
"eval_steps_per_second": 11.368,
|
440 |
+
"step": 8100
|
441 |
+
},
|
442 |
+
{
|
443 |
+
"epoch": 18.5,
|
444 |
+
"eval_f1": 0.9966600284318996,
|
445 |
+
"eval_loss": 0.03158922120928764,
|
446 |
+
"eval_runtime": 10.0056,
|
447 |
+
"eval_samples_per_second": 358.999,
|
448 |
+
"eval_steps_per_second": 11.294,
|
449 |
+
"step": 8325
|
450 |
+
},
|
451 |
+
{
|
452 |
+
"epoch": 18.96,
|
453 |
+
"learning_rate": 7.370370370370371e-06,
|
454 |
+
"loss": 0.0001,
|
455 |
+
"step": 8531
|
456 |
+
},
|
457 |
+
{
|
458 |
+
"epoch": 19.0,
|
459 |
+
"eval_f1": 0.9977691843456208,
|
460 |
+
"eval_loss": 0.020285602658987045,
|
461 |
+
"eval_runtime": 9.9628,
|
462 |
+
"eval_samples_per_second": 360.543,
|
463 |
+
"eval_steps_per_second": 11.342,
|
464 |
+
"step": 8550
|
465 |
+
},
|
466 |
+
{
|
467 |
+
"epoch": 19.5,
|
468 |
+
"eval_f1": 0.9977691843456208,
|
469 |
+
"eval_loss": 0.020556360483169556,
|
470 |
+
"eval_runtime": 9.9808,
|
471 |
+
"eval_samples_per_second": 359.89,
|
472 |
+
"eval_steps_per_second": 11.322,
|
473 |
+
"step": 8775
|
474 |
+
},
|
475 |
+
{
|
476 |
+
"epoch": 19.96,
|
477 |
+
"learning_rate": 6.705185185185186e-06,
|
478 |
+
"loss": 0.0,
|
479 |
+
"step": 8980
|
480 |
+
},
|
481 |
+
{
|
482 |
+
"epoch": 20.0,
|
483 |
+
"eval_f1": 0.99749170867917,
|
484 |
+
"eval_loss": 0.018523868173360825,
|
485 |
+
"eval_runtime": 9.9504,
|
486 |
+
"eval_samples_per_second": 360.989,
|
487 |
+
"eval_steps_per_second": 11.356,
|
488 |
+
"step": 9000
|
489 |
+
},
|
490 |
+
{
|
491 |
+
"epoch": 20.5,
|
492 |
+
"eval_f1": 0.99749170867917,
|
493 |
+
"eval_loss": 0.01606236957013607,
|
494 |
+
"eval_runtime": 9.9683,
|
495 |
+
"eval_samples_per_second": 360.341,
|
496 |
+
"eval_steps_per_second": 11.336,
|
497 |
+
"step": 9225
|
498 |
+
},
|
499 |
+
{
|
500 |
+
"epoch": 20.95,
|
501 |
+
"learning_rate": 6.040000000000001e-06,
|
502 |
+
"loss": 0.0008,
|
503 |
+
"step": 9429
|
504 |
+
},
|
505 |
+
{
|
506 |
+
"epoch": 21.0,
|
507 |
+
"eval_f1": 0.9961331807425458,
|
508 |
+
"eval_loss": 0.027556220069527626,
|
509 |
+
"eval_runtime": 9.9439,
|
510 |
+
"eval_samples_per_second": 361.228,
|
511 |
+
"eval_steps_per_second": 11.364,
|
512 |
+
"step": 9450
|
513 |
+
},
|
514 |
+
{
|
515 |
+
"epoch": 21.5,
|
516 |
+
"eval_f1": 0.9974890406034552,
|
517 |
+
"eval_loss": 0.022856123745441437,
|
518 |
+
"eval_runtime": 9.9718,
|
519 |
+
"eval_samples_per_second": 360.218,
|
520 |
+
"eval_steps_per_second": 11.332,
|
521 |
+
"step": 9675
|
522 |
+
},
|
523 |
+
{
|
524 |
+
"epoch": 21.95,
|
525 |
+
"learning_rate": 5.376296296296297e-06,
|
526 |
+
"loss": 0.0015,
|
527 |
+
"step": 9878
|
528 |
+
},
|
529 |
+
{
|
530 |
+
"epoch": 22.0,
|
531 |
+
"eval_f1": 0.996655754253198,
|
532 |
+
"eval_loss": 0.02840564213693142,
|
533 |
+
"eval_runtime": 9.9909,
|
534 |
+
"eval_samples_per_second": 359.528,
|
535 |
+
"eval_steps_per_second": 11.31,
|
536 |
+
"step": 9900
|
537 |
+
},
|
538 |
+
{
|
539 |
+
"epoch": 22.5,
|
540 |
+
"eval_f1": 0.9969386569418872,
|
541 |
+
"eval_loss": 0.02319738268852234,
|
542 |
+
"eval_runtime": 9.9719,
|
543 |
+
"eval_samples_per_second": 360.213,
|
544 |
+
"eval_steps_per_second": 11.332,
|
545 |
+
"step": 10125
|
546 |
+
},
|
547 |
+
{
|
548 |
+
"epoch": 22.95,
|
549 |
+
"learning_rate": 4.711111111111111e-06,
|
550 |
+
"loss": 0.0009,
|
551 |
+
"step": 10327
|
552 |
+
},
|
553 |
+
{
|
554 |
+
"epoch": 23.0,
|
555 |
+
"eval_f1": 0.9977709091258657,
|
556 |
+
"eval_loss": 0.016745826229453087,
|
557 |
+
"eval_runtime": 9.9669,
|
558 |
+
"eval_samples_per_second": 360.394,
|
559 |
+
"eval_steps_per_second": 11.338,
|
560 |
+
"step": 10350
|
561 |
+
},
|
562 |
+
{
|
563 |
+
"epoch": 23.5,
|
564 |
+
"eval_f1": 0.9977709091258657,
|
565 |
+
"eval_loss": 0.016933374106884003,
|
566 |
+
"eval_runtime": 9.967,
|
567 |
+
"eval_samples_per_second": 360.39,
|
568 |
+
"eval_steps_per_second": 11.337,
|
569 |
+
"step": 10575
|
570 |
+
},
|
571 |
+
{
|
572 |
+
"epoch": 23.95,
|
573 |
+
"learning_rate": 4.045925925925927e-06,
|
574 |
+
"loss": 0.0,
|
575 |
+
"step": 10776
|
576 |
+
},
|
577 |
+
{
|
578 |
+
"epoch": 24.0,
|
579 |
+
"eval_f1": 0.997211752501557,
|
580 |
+
"eval_loss": 0.02103780210018158,
|
581 |
+
"eval_runtime": 9.9446,
|
582 |
+
"eval_samples_per_second": 361.2,
|
583 |
+
"eval_steps_per_second": 11.363,
|
584 |
+
"step": 10800
|
585 |
+
},
|
586 |
+
{
|
587 |
+
"epoch": 24.5,
|
588 |
+
"eval_f1": 0.997211752501557,
|
589 |
+
"eval_loss": 0.02101019211113453,
|
590 |
+
"eval_runtime": 9.9889,
|
591 |
+
"eval_samples_per_second": 359.6,
|
592 |
+
"eval_steps_per_second": 11.313,
|
593 |
+
"step": 11025
|
594 |
+
},
|
595 |
+
{
|
596 |
+
"epoch": 24.94,
|
597 |
+
"learning_rate": 3.380740740740741e-06,
|
598 |
+
"loss": 0.0,
|
599 |
+
"step": 11225
|
600 |
+
},
|
601 |
+
{
|
602 |
+
"epoch": 25.0,
|
603 |
+
"eval_f1": 0.997211752501557,
|
604 |
+
"eval_loss": 0.021039091050624847,
|
605 |
+
"eval_runtime": 9.9809,
|
606 |
+
"eval_samples_per_second": 359.889,
|
607 |
+
"eval_steps_per_second": 11.322,
|
608 |
+
"step": 11250
|
609 |
+
},
|
610 |
+
{
|
611 |
+
"epoch": 25.5,
|
612 |
+
"eval_f1": 0.997211752501557,
|
613 |
+
"eval_loss": 0.021075071766972542,
|
614 |
+
"eval_runtime": 9.9783,
|
615 |
+
"eval_samples_per_second": 359.981,
|
616 |
+
"eval_steps_per_second": 11.325,
|
617 |
+
"step": 11475
|
618 |
+
},
|
619 |
+
{
|
620 |
+
"epoch": 25.94,
|
621 |
+
"learning_rate": 2.715555555555556e-06,
|
622 |
+
"loss": 0.0,
|
623 |
+
"step": 11674
|
624 |
+
},
|
625 |
+
{
|
626 |
+
"epoch": 26.0,
|
627 |
+
"eval_f1": 0.997211752501557,
|
628 |
+
"eval_loss": 0.021231742575764656,
|
629 |
+
"eval_runtime": 9.9681,
|
630 |
+
"eval_samples_per_second": 360.349,
|
631 |
+
"eval_steps_per_second": 11.336,
|
632 |
+
"step": 11700
|
633 |
+
},
|
634 |
+
{
|
635 |
+
"epoch": 26.5,
|
636 |
+
"eval_f1": 0.997211752501557,
|
637 |
+
"eval_loss": 0.021246111020445824,
|
638 |
+
"eval_runtime": 9.9808,
|
639 |
+
"eval_samples_per_second": 359.893,
|
640 |
+
"eval_steps_per_second": 11.322,
|
641 |
+
"step": 11925
|
642 |
+
},
|
643 |
+
{
|
644 |
+
"epoch": 26.94,
|
645 |
+
"learning_rate": 2.0503703703703704e-06,
|
646 |
+
"loss": 0.0,
|
647 |
+
"step": 12123
|
648 |
+
},
|
649 |
+
{
|
650 |
+
"epoch": 27.0,
|
651 |
+
"eval_f1": 0.997211752501557,
|
652 |
+
"eval_loss": 0.021242721006274223,
|
653 |
+
"eval_runtime": 9.9704,
|
654 |
+
"eval_samples_per_second": 360.265,
|
655 |
+
"eval_steps_per_second": 11.333,
|
656 |
+
"step": 12150
|
657 |
+
},
|
658 |
+
{
|
659 |
+
"epoch": 27.5,
|
660 |
+
"eval_f1": 0.997211752501557,
|
661 |
+
"eval_loss": 0.021284321323037148,
|
662 |
+
"eval_runtime": 9.9704,
|
663 |
+
"eval_samples_per_second": 360.267,
|
664 |
+
"eval_steps_per_second": 11.334,
|
665 |
+
"step": 12375
|
666 |
+
},
|
667 |
+
{
|
668 |
+
"epoch": 27.94,
|
669 |
+
"learning_rate": 1.3851851851851852e-06,
|
670 |
+
"loss": 0.0,
|
671 |
+
"step": 12572
|
672 |
+
},
|
673 |
+
{
|
674 |
+
"epoch": 28.0,
|
675 |
+
"eval_f1": 0.9974898648408176,
|
676 |
+
"eval_loss": 0.02062426507472992,
|
677 |
+
"eval_runtime": 9.9866,
|
678 |
+
"eval_samples_per_second": 359.68,
|
679 |
+
"eval_steps_per_second": 11.315,
|
680 |
+
"step": 12600
|
681 |
+
},
|
682 |
+
{
|
683 |
+
"epoch": 28.5,
|
684 |
+
"eval_f1": 0.9974925455517304,
|
685 |
+
"eval_loss": 0.014707241207361221,
|
686 |
+
"eval_runtime": 10.0028,
|
687 |
+
"eval_samples_per_second": 359.098,
|
688 |
+
"eval_steps_per_second": 11.297,
|
689 |
+
"step": 12825
|
690 |
+
},
|
691 |
+
{
|
692 |
+
"epoch": 28.94,
|
693 |
+
"learning_rate": 7.214814814814814e-07,
|
694 |
+
"loss": 0.0004,
|
695 |
+
"step": 13021
|
696 |
+
},
|
697 |
+
{
|
698 |
+
"epoch": 29.0,
|
699 |
+
"eval_f1": 0.9974925455517304,
|
700 |
+
"eval_loss": 0.015917900949716568,
|
701 |
+
"eval_runtime": 10.0109,
|
702 |
+
"eval_samples_per_second": 358.81,
|
703 |
+
"eval_steps_per_second": 11.288,
|
704 |
+
"step": 13050
|
705 |
+
},
|
706 |
+
{
|
707 |
+
"epoch": 29.5,
|
708 |
+
"eval_f1": 0.9974925455517304,
|
709 |
+
"eval_loss": 0.015875495970249176,
|
710 |
+
"eval_runtime": 10.0428,
|
711 |
+
"eval_samples_per_second": 357.669,
|
712 |
+
"eval_steps_per_second": 11.252,
|
713 |
+
"step": 13275
|
714 |
+
},
|
715 |
+
{
|
716 |
+
"epoch": 29.93,
|
717 |
+
"learning_rate": 5.62962962962963e-08,
|
718 |
+
"loss": 0.0,
|
719 |
+
"step": 13470
|
720 |
+
},
|
721 |
+
{
|
722 |
+
"epoch": 30.0,
|
723 |
+
"eval_f1": 0.9974925455517304,
|
724 |
+
"eval_loss": 0.01589413359761238,
|
725 |
+
"eval_runtime": 10.0081,
|
726 |
+
"eval_samples_per_second": 358.909,
|
727 |
+
"eval_steps_per_second": 11.291,
|
728 |
+
"step": 13500
|
729 |
+
}
|
730 |
+
],
|
731 |
+
"max_steps": 13500,
|
732 |
+
"num_train_epochs": 30,
|
733 |
+
"total_flos": 1.1347301109694464e+17,
|
734 |
+
"trial_name": null,
|
735 |
+
"trial_params": null
|
736 |
+
}
|
training_args.bin
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:2b2d0e7754c6102282b10c1484575c558d2dc92396e47b55c60441d2b923b640
|
3 |
+
size 3643
|
vocab.txt
ADDED
The diff for this file is too large to render.
See raw diff
|
|