Upload folder using huggingface_hub
Browse files- all_runs/checkpoint-2688/added_tokens.json +3 -0
- all_runs/checkpoint-2688/config.json +41 -0
- all_runs/checkpoint-2688/model.safetensors +3 -0
- all_runs/checkpoint-2688/optimizer.pt +3 -0
- all_runs/checkpoint-2688/rng_state.pth +3 -0
- all_runs/checkpoint-2688/scheduler.pt +3 -0
- all_runs/checkpoint-2688/special_tokens_map.json +13 -0
- all_runs/checkpoint-2688/tokenizer.json +0 -0
- all_runs/checkpoint-2688/tokenizer_config.json +65 -0
- all_runs/checkpoint-2688/trainer_state.json +320 -0
- all_runs/checkpoint-2688/training_args.bin +3 -0
- all_runs/checkpoint-2688/vocab.txt +0 -0
all_runs/checkpoint-2688/added_tokens.json
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"<pad>": 30522
|
3 |
+
}
|
all_runs/checkpoint-2688/config.json
ADDED
@@ -0,0 +1,41 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"_name_or_path": "law-ai/InLegalBERT",
|
3 |
+
"architectures": [
|
4 |
+
"BertForSequenceClassification"
|
5 |
+
],
|
6 |
+
"attention_probs_dropout_prob": 0.1,
|
7 |
+
"bos_token_id": 0,
|
8 |
+
"classifier_dropout": null,
|
9 |
+
"eos_token_ids": 0,
|
10 |
+
"hidden_act": "gelu",
|
11 |
+
"hidden_dropout_prob": 0.1,
|
12 |
+
"hidden_size": 768,
|
13 |
+
"id2label": {
|
14 |
+
"0": "positive",
|
15 |
+
"1": "negative",
|
16 |
+
"2": "neutral",
|
17 |
+
"3": "rel_by_party"
|
18 |
+
},
|
19 |
+
"initializer_range": 0.02,
|
20 |
+
"intermediate_size": 3072,
|
21 |
+
"label2id": {
|
22 |
+
"negative": 1,
|
23 |
+
"neutral": 2,
|
24 |
+
"positive": 0,
|
25 |
+
"rel_by_party": 3
|
26 |
+
},
|
27 |
+
"layer_norm_eps": 1e-12,
|
28 |
+
"max_position_embeddings": 512,
|
29 |
+
"model_type": "bert",
|
30 |
+
"num_attention_heads": 12,
|
31 |
+
"num_hidden_layers": 12,
|
32 |
+
"output_past": true,
|
33 |
+
"pad_token_id": 30522,
|
34 |
+
"position_embedding_type": "absolute",
|
35 |
+
"problem_type": "single_label_classification",
|
36 |
+
"torch_dtype": "float32",
|
37 |
+
"transformers_version": "4.39.3",
|
38 |
+
"type_vocab_size": 2,
|
39 |
+
"use_cache": true,
|
40 |
+
"vocab_size": 30523
|
41 |
+
}
|
all_runs/checkpoint-2688/model.safetensors
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:51317e09d06ff6ad36d1a7dac4d266cac2a962fc0ca51c4052e65cc53e906036
|
3 |
+
size 437967872
|
all_runs/checkpoint-2688/optimizer.pt
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:e4896f4129b031e0c2d7e508d1368ad47f50887ad0058df5f8d642cf46a927ff
|
3 |
+
size 876056826
|
all_runs/checkpoint-2688/rng_state.pth
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:07c0d3d75ccd510156a69fc00a18c8ee500b5647683f3286579c8c609f9abb12
|
3 |
+
size 14244
|
all_runs/checkpoint-2688/scheduler.pt
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:13a055c75a246816aaee23e7539ad6ecbe03e82f0c7309cae5651a435fc6fb62
|
3 |
+
size 1064
|
all_runs/checkpoint-2688/special_tokens_map.json
ADDED
@@ -0,0 +1,13 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"cls_token": "[CLS]",
|
3 |
+
"mask_token": "[MASK]",
|
4 |
+
"pad_token": {
|
5 |
+
"content": "<pad>",
|
6 |
+
"lstrip": false,
|
7 |
+
"normalized": false,
|
8 |
+
"rstrip": false,
|
9 |
+
"single_word": false
|
10 |
+
},
|
11 |
+
"sep_token": "[SEP]",
|
12 |
+
"unk_token": "[UNK]"
|
13 |
+
}
|
all_runs/checkpoint-2688/tokenizer.json
ADDED
The diff for this file is too large to render.
See raw diff
|
|
all_runs/checkpoint-2688/tokenizer_config.json
ADDED
@@ -0,0 +1,65 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"added_tokens_decoder": {
|
3 |
+
"0": {
|
4 |
+
"content": "[PAD]",
|
5 |
+
"lstrip": false,
|
6 |
+
"normalized": false,
|
7 |
+
"rstrip": false,
|
8 |
+
"single_word": false,
|
9 |
+
"special": true
|
10 |
+
},
|
11 |
+
"100": {
|
12 |
+
"content": "[UNK]",
|
13 |
+
"lstrip": false,
|
14 |
+
"normalized": false,
|
15 |
+
"rstrip": false,
|
16 |
+
"single_word": false,
|
17 |
+
"special": true
|
18 |
+
},
|
19 |
+
"101": {
|
20 |
+
"content": "[CLS]",
|
21 |
+
"lstrip": false,
|
22 |
+
"normalized": false,
|
23 |
+
"rstrip": false,
|
24 |
+
"single_word": false,
|
25 |
+
"special": true
|
26 |
+
},
|
27 |
+
"102": {
|
28 |
+
"content": "[SEP]",
|
29 |
+
"lstrip": false,
|
30 |
+
"normalized": false,
|
31 |
+
"rstrip": false,
|
32 |
+
"single_word": false,
|
33 |
+
"special": true
|
34 |
+
},
|
35 |
+
"103": {
|
36 |
+
"content": "[MASK]",
|
37 |
+
"lstrip": false,
|
38 |
+
"normalized": false,
|
39 |
+
"rstrip": false,
|
40 |
+
"single_word": false,
|
41 |
+
"special": true
|
42 |
+
},
|
43 |
+
"30522": {
|
44 |
+
"content": "<pad>",
|
45 |
+
"lstrip": false,
|
46 |
+
"normalized": false,
|
47 |
+
"rstrip": false,
|
48 |
+
"single_word": false,
|
49 |
+
"special": true
|
50 |
+
}
|
51 |
+
},
|
52 |
+
"clean_up_tokenization_spaces": true,
|
53 |
+
"cls_token": "[CLS]",
|
54 |
+
"do_basic_tokenize": true,
|
55 |
+
"do_lower_case": true,
|
56 |
+
"mask_token": "[MASK]",
|
57 |
+
"model_max_length": 512,
|
58 |
+
"never_split": null,
|
59 |
+
"pad_token": "<pad>",
|
60 |
+
"sep_token": "[SEP]",
|
61 |
+
"strip_accents": null,
|
62 |
+
"tokenize_chinese_chars": true,
|
63 |
+
"tokenizer_class": "BertTokenizer",
|
64 |
+
"unk_token": "[UNK]"
|
65 |
+
}
|
all_runs/checkpoint-2688/trainer_state.json
ADDED
@@ -0,0 +1,320 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"best_metric": 0.6690246389304302,
|
3 |
+
"best_model_checkpoint": "case-analysis-InLegalBERT/checkpoint-1344",
|
4 |
+
"epoch": 12.0,
|
5 |
+
"eval_steps": 500,
|
6 |
+
"global_step": 2688,
|
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": 0.8017817371937639,
|
14 |
+
"eval_f1_macro": 0.5936102522033613,
|
15 |
+
"eval_f1_micro": 0.8017817371937639,
|
16 |
+
"eval_f1_weighted": 0.7819923339877444,
|
17 |
+
"eval_loss": 0.6545999050140381,
|
18 |
+
"eval_macro_fpr": 0.09781883735656886,
|
19 |
+
"eval_macro_sensitivity": 0.6106003826592061,
|
20 |
+
"eval_macro_specificity": 0.9112420642353884,
|
21 |
+
"eval_precision": 0.763240968439436,
|
22 |
+
"eval_precision_macro": 0.5776616905319997,
|
23 |
+
"eval_recall": 0.8017817371937639,
|
24 |
+
"eval_recall_macro": 0.6106003826592061,
|
25 |
+
"eval_runtime": 9.2925,
|
26 |
+
"eval_samples_per_second": 48.318,
|
27 |
+
"eval_steps_per_second": 6.134,
|
28 |
+
"eval_weighted_fpr": 0.07613344739093242,
|
29 |
+
"eval_weighted_sensitivity": 0.8017817371937639,
|
30 |
+
"eval_weighted_specificity": 0.84318651974779,
|
31 |
+
"step": 224
|
32 |
+
},
|
33 |
+
{
|
34 |
+
"epoch": 2.0,
|
35 |
+
"eval_accuracy": 0.8129175946547884,
|
36 |
+
"eval_f1_macro": 0.5995597405020452,
|
37 |
+
"eval_f1_micro": 0.8129175946547884,
|
38 |
+
"eval_f1_weighted": 0.7925821933419933,
|
39 |
+
"eval_loss": 0.6830806732177734,
|
40 |
+
"eval_macro_fpr": 0.0922965769071398,
|
41 |
+
"eval_macro_sensitivity": 0.615426637485461,
|
42 |
+
"eval_macro_specificity": 0.9170902440637451,
|
43 |
+
"eval_precision": 0.7732439444566204,
|
44 |
+
"eval_precision_macro": 0.5844969763606377,
|
45 |
+
"eval_recall": 0.8129175946547884,
|
46 |
+
"eval_recall_macro": 0.615426637485461,
|
47 |
+
"eval_runtime": 36.5377,
|
48 |
+
"eval_samples_per_second": 12.289,
|
49 |
+
"eval_steps_per_second": 1.56,
|
50 |
+
"eval_weighted_fpr": 0.07124681933842239,
|
51 |
+
"eval_weighted_sensitivity": 0.8129175946547884,
|
52 |
+
"eval_weighted_specificity": 0.8554433816001921,
|
53 |
+
"step": 448
|
54 |
+
},
|
55 |
+
{
|
56 |
+
"epoch": 2.23,
|
57 |
+
"grad_norm": 6.910687446594238,
|
58 |
+
"learning_rate": 4.6302083333333335e-05,
|
59 |
+
"loss": 0.607,
|
60 |
+
"step": 500
|
61 |
+
},
|
62 |
+
{
|
63 |
+
"epoch": 3.0,
|
64 |
+
"eval_accuracy": 0.8262806236080178,
|
65 |
+
"eval_f1_macro": 0.6362135046138226,
|
66 |
+
"eval_f1_micro": 0.8262806236080178,
|
67 |
+
"eval_f1_weighted": 0.8105096248986687,
|
68 |
+
"eval_loss": 0.7626442909240723,
|
69 |
+
"eval_macro_fpr": 0.0885057964533289,
|
70 |
+
"eval_macro_sensitivity": 0.6341414944356121,
|
71 |
+
"eval_macro_specificity": 0.9181782637863818,
|
72 |
+
"eval_precision": 0.8060163824047696,
|
73 |
+
"eval_precision_macro": 0.6772816989326722,
|
74 |
+
"eval_recall": 0.8262806236080178,
|
75 |
+
"eval_recall_macro": 0.6341414944356121,
|
76 |
+
"eval_runtime": 35.6726,
|
77 |
+
"eval_samples_per_second": 12.587,
|
78 |
+
"eval_steps_per_second": 1.598,
|
79 |
+
"eval_weighted_fpr": 0.0654911838790932,
|
80 |
+
"eval_weighted_sensitivity": 0.8262806236080178,
|
81 |
+
"eval_weighted_specificity": 0.8464324315375095,
|
82 |
+
"step": 672
|
83 |
+
},
|
84 |
+
{
|
85 |
+
"epoch": 4.0,
|
86 |
+
"eval_accuracy": 0.8084632516703786,
|
87 |
+
"eval_f1_macro": 0.6313839669673806,
|
88 |
+
"eval_f1_micro": 0.8084632516703786,
|
89 |
+
"eval_f1_weighted": 0.8017481865377005,
|
90 |
+
"eval_loss": 0.7839008569717407,
|
91 |
+
"eval_macro_fpr": 0.08961602877899306,
|
92 |
+
"eval_macro_sensitivity": 0.630579873226932,
|
93 |
+
"eval_macro_specificity": 0.9209618973154744,
|
94 |
+
"eval_precision": 0.7990879202460494,
|
95 |
+
"eval_precision_macro": 0.6390850934968582,
|
96 |
+
"eval_recall": 0.8084632516703786,
|
97 |
+
"eval_recall_macro": 0.630579873226932,
|
98 |
+
"eval_runtime": 33.6763,
|
99 |
+
"eval_samples_per_second": 13.333,
|
100 |
+
"eval_steps_per_second": 1.693,
|
101 |
+
"eval_weighted_fpr": 0.07319148936170213,
|
102 |
+
"eval_weighted_sensitivity": 0.8084632516703786,
|
103 |
+
"eval_weighted_specificity": 0.8753843375915193,
|
104 |
+
"step": 896
|
105 |
+
},
|
106 |
+
{
|
107 |
+
"epoch": 4.46,
|
108 |
+
"grad_norm": 0.3201627731323242,
|
109 |
+
"learning_rate": 4.258184523809524e-05,
|
110 |
+
"loss": 0.316,
|
111 |
+
"step": 1000
|
112 |
+
},
|
113 |
+
{
|
114 |
+
"epoch": 5.0,
|
115 |
+
"eval_accuracy": 0.8262806236080178,
|
116 |
+
"eval_f1_macro": 0.6513945578231293,
|
117 |
+
"eval_f1_micro": 0.8262806236080178,
|
118 |
+
"eval_f1_weighted": 0.8161065406117904,
|
119 |
+
"eval_loss": 0.9380576610565186,
|
120 |
+
"eval_macro_fpr": 0.08224137352531583,
|
121 |
+
"eval_macro_sensitivity": 0.6573161205514146,
|
122 |
+
"eval_macro_specificity": 0.9260657452373569,
|
123 |
+
"eval_precision": 0.8127349298285333,
|
124 |
+
"eval_precision_macro": 0.668810150869688,
|
125 |
+
"eval_recall": 0.8262806236080178,
|
126 |
+
"eval_recall_macro": 0.6573161205514146,
|
127 |
+
"eval_runtime": 34.3275,
|
128 |
+
"eval_samples_per_second": 13.08,
|
129 |
+
"eval_steps_per_second": 1.66,
|
130 |
+
"eval_weighted_fpr": 0.0654911838790932,
|
131 |
+
"eval_weighted_sensitivity": 0.8262806236080178,
|
132 |
+
"eval_weighted_specificity": 0.8779823573414097,
|
133 |
+
"step": 1120
|
134 |
+
},
|
135 |
+
{
|
136 |
+
"epoch": 6.0,
|
137 |
+
"eval_accuracy": 0.821826280623608,
|
138 |
+
"eval_f1_macro": 0.6690246389304302,
|
139 |
+
"eval_f1_micro": 0.821826280623608,
|
140 |
+
"eval_f1_weighted": 0.8159237291984361,
|
141 |
+
"eval_loss": 1.0433590412139893,
|
142 |
+
"eval_macro_fpr": 0.08967976675610558,
|
143 |
+
"eval_macro_sensitivity": 0.6533037047742931,
|
144 |
+
"eval_macro_specificity": 0.9186687903009794,
|
145 |
+
"eval_precision": 0.8145202780918083,
|
146 |
+
"eval_precision_macro": 0.6906556062141168,
|
147 |
+
"eval_recall": 0.821826280623608,
|
148 |
+
"eval_recall_macro": 0.6533037047742931,
|
149 |
+
"eval_runtime": 43.316,
|
150 |
+
"eval_samples_per_second": 10.366,
|
151 |
+
"eval_steps_per_second": 1.316,
|
152 |
+
"eval_weighted_fpr": 0.06739679865206402,
|
153 |
+
"eval_weighted_sensitivity": 0.821826280623608,
|
154 |
+
"eval_weighted_specificity": 0.8528488805803094,
|
155 |
+
"step": 1344
|
156 |
+
},
|
157 |
+
{
|
158 |
+
"epoch": 6.7,
|
159 |
+
"grad_norm": 0.028867056593298912,
|
160 |
+
"learning_rate": 3.8869047619047625e-05,
|
161 |
+
"loss": 0.1513,
|
162 |
+
"step": 1500
|
163 |
+
},
|
164 |
+
{
|
165 |
+
"epoch": 7.0,
|
166 |
+
"eval_accuracy": 0.8017817371937639,
|
167 |
+
"eval_f1_macro": 0.6374820990180032,
|
168 |
+
"eval_f1_micro": 0.8017817371937639,
|
169 |
+
"eval_f1_weighted": 0.8030061499337195,
|
170 |
+
"eval_loss": 1.2181551456451416,
|
171 |
+
"eval_macro_fpr": 0.09161393040768498,
|
172 |
+
"eval_macro_sensitivity": 0.6398633163339046,
|
173 |
+
"eval_macro_specificity": 0.9204902964282863,
|
174 |
+
"eval_precision": 0.8065681635796801,
|
175 |
+
"eval_precision_macro": 0.6382217224720973,
|
176 |
+
"eval_recall": 0.8017817371937639,
|
177 |
+
"eval_recall_macro": 0.6398633163339046,
|
178 |
+
"eval_runtime": 38.5257,
|
179 |
+
"eval_samples_per_second": 11.655,
|
180 |
+
"eval_steps_per_second": 1.48,
|
181 |
+
"eval_weighted_fpr": 0.07613344739093242,
|
182 |
+
"eval_weighted_sensitivity": 0.8017817371937639,
|
183 |
+
"eval_weighted_specificity": 0.8801794485193812,
|
184 |
+
"step": 1568
|
185 |
+
},
|
186 |
+
{
|
187 |
+
"epoch": 8.0,
|
188 |
+
"eval_accuracy": 0.8285077951002228,
|
189 |
+
"eval_f1_macro": 0.6375618771468077,
|
190 |
+
"eval_f1_micro": 0.8285077951002228,
|
191 |
+
"eval_f1_weighted": 0.8152450374079808,
|
192 |
+
"eval_loss": 1.3192639350891113,
|
193 |
+
"eval_macro_fpr": 0.08815434538353528,
|
194 |
+
"eval_macro_sensitivity": 0.6279757603287015,
|
195 |
+
"eval_macro_specificity": 0.9201548104191046,
|
196 |
+
"eval_precision": 0.8069973553326301,
|
197 |
+
"eval_precision_macro": 0.6565998635009741,
|
198 |
+
"eval_recall": 0.8285077951002228,
|
199 |
+
"eval_recall_macro": 0.6279757603287015,
|
200 |
+
"eval_runtime": 33.4932,
|
201 |
+
"eval_samples_per_second": 13.406,
|
202 |
+
"eval_steps_per_second": 1.702,
|
203 |
+
"eval_weighted_fpr": 0.06454316848281642,
|
204 |
+
"eval_weighted_sensitivity": 0.8285077951002228,
|
205 |
+
"eval_weighted_specificity": 0.8521114465761961,
|
206 |
+
"step": 1792
|
207 |
+
},
|
208 |
+
{
|
209 |
+
"epoch": 8.93,
|
210 |
+
"grad_norm": 0.008128850720822811,
|
211 |
+
"learning_rate": 3.514880952380952e-05,
|
212 |
+
"loss": 0.0491,
|
213 |
+
"step": 2000
|
214 |
+
},
|
215 |
+
{
|
216 |
+
"epoch": 9.0,
|
217 |
+
"eval_accuracy": 0.8329621380846325,
|
218 |
+
"eval_f1_macro": 0.6687059701183248,
|
219 |
+
"eval_f1_micro": 0.8329621380846325,
|
220 |
+
"eval_f1_weighted": 0.8234691462881575,
|
221 |
+
"eval_loss": 1.3168540000915527,
|
222 |
+
"eval_macro_fpr": 0.08276943574584078,
|
223 |
+
"eval_macro_sensitivity": 0.6554578833990599,
|
224 |
+
"eval_macro_specificity": 0.9245723745022232,
|
225 |
+
"eval_precision": 0.8179557632761028,
|
226 |
+
"eval_precision_macro": 0.6949834258114409,
|
227 |
+
"eval_recall": 0.8329621380846325,
|
228 |
+
"eval_recall_macro": 0.6554578833990599,
|
229 |
+
"eval_runtime": 36.7708,
|
230 |
+
"eval_samples_per_second": 12.211,
|
231 |
+
"eval_steps_per_second": 1.55,
|
232 |
+
"eval_weighted_fpr": 0.06265664160401002,
|
233 |
+
"eval_weighted_sensitivity": 0.8329621380846325,
|
234 |
+
"eval_weighted_specificity": 0.86532735992426,
|
235 |
+
"step": 2016
|
236 |
+
},
|
237 |
+
{
|
238 |
+
"epoch": 10.0,
|
239 |
+
"eval_accuracy": 0.8307349665924276,
|
240 |
+
"eval_f1_macro": 0.6397801007606054,
|
241 |
+
"eval_f1_micro": 0.8307349665924276,
|
242 |
+
"eval_f1_weighted": 0.8183915457597033,
|
243 |
+
"eval_loss": 1.4459574222564697,
|
244 |
+
"eval_macro_fpr": 0.08684003094467867,
|
245 |
+
"eval_macro_sensitivity": 0.6290898423251364,
|
246 |
+
"eval_macro_specificity": 0.9210102525156295,
|
247 |
+
"eval_precision": 0.8108965608714154,
|
248 |
+
"eval_precision_macro": 0.6584470636889992,
|
249 |
+
"eval_recall": 0.8307349665924276,
|
250 |
+
"eval_recall_macro": 0.6290898423251364,
|
251 |
+
"eval_runtime": 36.4367,
|
252 |
+
"eval_samples_per_second": 12.323,
|
253 |
+
"eval_steps_per_second": 1.564,
|
254 |
+
"eval_weighted_fpr": 0.06359832635983263,
|
255 |
+
"eval_weighted_sensitivity": 0.8307349665924276,
|
256 |
+
"eval_weighted_specificity": 0.8533060434700906,
|
257 |
+
"step": 2240
|
258 |
+
},
|
259 |
+
{
|
260 |
+
"epoch": 11.0,
|
261 |
+
"eval_accuracy": 0.8418708240534521,
|
262 |
+
"eval_f1_macro": 0.6463830564509832,
|
263 |
+
"eval_f1_micro": 0.8418708240534521,
|
264 |
+
"eval_f1_weighted": 0.8263008274936262,
|
265 |
+
"eval_loss": 1.4100018739700317,
|
266 |
+
"eval_macro_fpr": 0.08061341387649999,
|
267 |
+
"eval_macro_sensitivity": 0.6398590148590149,
|
268 |
+
"eval_macro_specificity": 0.9265216670805116,
|
269 |
+
"eval_precision": 0.8165947524130448,
|
270 |
+
"eval_precision_macro": 0.6717971143983426,
|
271 |
+
"eval_recall": 0.8418708240534521,
|
272 |
+
"eval_recall_macro": 0.6398590148590149,
|
273 |
+
"eval_runtime": 33.4877,
|
274 |
+
"eval_samples_per_second": 13.408,
|
275 |
+
"eval_steps_per_second": 1.702,
|
276 |
+
"eval_weighted_fpr": 0.05892116182572614,
|
277 |
+
"eval_weighted_sensitivity": 0.8418708240534521,
|
278 |
+
"eval_weighted_specificity": 0.8642158442685944,
|
279 |
+
"step": 2464
|
280 |
+
},
|
281 |
+
{
|
282 |
+
"epoch": 11.16,
|
283 |
+
"grad_norm": 0.002102190162986517,
|
284 |
+
"learning_rate": 3.143601190476191e-05,
|
285 |
+
"loss": 0.0148,
|
286 |
+
"step": 2500
|
287 |
+
},
|
288 |
+
{
|
289 |
+
"epoch": 12.0,
|
290 |
+
"eval_accuracy": 0.821826280623608,
|
291 |
+
"eval_f1_macro": 0.6469130501099637,
|
292 |
+
"eval_f1_micro": 0.821826280623608,
|
293 |
+
"eval_f1_weighted": 0.8136991543918022,
|
294 |
+
"eval_loss": 1.5364338159561157,
|
295 |
+
"eval_macro_fpr": 0.09029608603507376,
|
296 |
+
"eval_macro_sensitivity": 0.6339926634044281,
|
297 |
+
"eval_macro_specificity": 0.918073461922396,
|
298 |
+
"eval_precision": 0.810454717235043,
|
299 |
+
"eval_precision_macro": 0.6661052171615551,
|
300 |
+
"eval_recall": 0.821826280623608,
|
301 |
+
"eval_recall_macro": 0.6339926634044281,
|
302 |
+
"eval_runtime": 39.7939,
|
303 |
+
"eval_samples_per_second": 11.283,
|
304 |
+
"eval_steps_per_second": 1.432,
|
305 |
+
"eval_weighted_fpr": 0.06739679865206402,
|
306 |
+
"eval_weighted_sensitivity": 0.821826280623608,
|
307 |
+
"eval_weighted_specificity": 0.8504675670659761,
|
308 |
+
"step": 2688
|
309 |
+
}
|
310 |
+
],
|
311 |
+
"logging_steps": 500,
|
312 |
+
"max_steps": 6720,
|
313 |
+
"num_input_tokens_seen": 0,
|
314 |
+
"num_train_epochs": 30,
|
315 |
+
"save_steps": 500,
|
316 |
+
"total_flos": 5658041735184384.0,
|
317 |
+
"train_batch_size": 8,
|
318 |
+
"trial_name": null,
|
319 |
+
"trial_params": null
|
320 |
+
}
|
all_runs/checkpoint-2688/training_args.bin
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:4168c8c84941deb81d05fe2d714c7e20c482e1e8b4900f8d6b307d6f8c3828dd
|
3 |
+
size 4984
|
all_runs/checkpoint-2688/vocab.txt
ADDED
The diff for this file is too large to render.
See raw diff
|
|