lucianoacsilva
commited on
Commit
·
ca7b8f6
1
Parent(s):
3c075b0
feature: Faz upload de arquivos do modelo
Browse files- added_tokens.json +3 -0
- all_results.json +66 -0
- config.json +67 -0
- eval_results.json +24 -0
- example_level_predict_wiki_section_disease_max_seq512_ts_score_lt_results.json +19 -0
- example_level_predict_wiki_section_disease_max_seq512_ts_score_lt_results_str_metric.txt +4 -0
- predict_wiki_section_disease_max_seq512_ts_score_lt_results.json +22 -0
- pytorch_model.bin +3 -0
- run.log +0 -0
- special_tokens_map.json +8 -0
- tokenizer.json +0 -0
- tokenizer_config.json +16 -0
- train_results.json +8 -0
- trainer_state.json +175 -0
- training_args.bin +3 -0
- vocab.txt +0 -0
added_tokens.json
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"[BOS]": 29794
|
3 |
+
}
|
all_results.json
ADDED
@@ -0,0 +1,66 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"EOP_f1": 0.7691492742875305,
|
3 |
+
"EOP_number": 4774,
|
4 |
+
"EOP_precision": 0.7781350482315113,
|
5 |
+
"EOP_recall": 0.7603686635944701,
|
6 |
+
"accuracy": 0.9456432259834859,
|
7 |
+
"epoch": 5.0,
|
8 |
+
"eval_EOP_f1": 0.7546452702702704,
|
9 |
+
"eval_EOP_number": 2446,
|
10 |
+
"eval_EOP_precision": 0.780349344978166,
|
11 |
+
"eval_EOP_recall": 0.7305805396565822,
|
12 |
+
"eval_da_EOP_f1": 0.7679782903663502,
|
13 |
+
"eval_da_EOP_number": 2704,
|
14 |
+
"eval_da_EOP_precision": 0.8069246435845214,
|
15 |
+
"eval_da_EOP_recall": 0.7326183431952663,
|
16 |
+
"eval_da_overall_accuracy": 0.9443618109138235,
|
17 |
+
"eval_da_overall_f1": 0.7679782903663502,
|
18 |
+
"eval_da_overall_precision": 0.8069246435845214,
|
19 |
+
"eval_da_overall_recall": 0.7326183431952663,
|
20 |
+
"eval_loss": NaN,
|
21 |
+
"eval_overall_accuracy": 0.9436660687448489,
|
22 |
+
"eval_overall_f1": 0.7546452702702704,
|
23 |
+
"eval_overall_precision": 0.780349344978166,
|
24 |
+
"eval_overall_recall": 0.7305805396565822,
|
25 |
+
"eval_runtime": 115.155,
|
26 |
+
"eval_samples": 1523,
|
27 |
+
"eval_samples_per_second": 13.226,
|
28 |
+
"eval_steps_per_second": 3.309,
|
29 |
+
"overall_accuracy": 0.9456432259834859,
|
30 |
+
"overall_f1": 0.7691492742875305,
|
31 |
+
"overall_precision": 0.7781350482315113,
|
32 |
+
"overall_recall": 0.7603686635944701,
|
33 |
+
"predict_EOP_f1": 0.7691492742875305,
|
34 |
+
"predict_EOP_number": 4774,
|
35 |
+
"predict_EOP_precision": 0.7781350482315113,
|
36 |
+
"predict_EOP_recall": 0.7603686635944701,
|
37 |
+
"predict_da_EOP_f1": 0.7890958478851378,
|
38 |
+
"predict_da_EOP_number": 5339,
|
39 |
+
"predict_da_EOP_precision": 0.8184745421614007,
|
40 |
+
"predict_da_EOP_recall": 0.7617531372916276,
|
41 |
+
"predict_da_overall_accuracy": 0.9483659509785294,
|
42 |
+
"predict_da_overall_f1": 0.7890958478851378,
|
43 |
+
"predict_da_overall_precision": 0.8184745421614007,
|
44 |
+
"predict_da_overall_recall": 0.7617531372916276,
|
45 |
+
"predict_examples": 718,
|
46 |
+
"predict_loss": NaN,
|
47 |
+
"predict_overall_accuracy": 0.9456432259834859,
|
48 |
+
"predict_overall_f1": 0.7691492742875305,
|
49 |
+
"predict_overall_precision": 0.7781350482315113,
|
50 |
+
"predict_overall_recall": 0.7603686635944701,
|
51 |
+
"predict_runtime": 220.4272,
|
52 |
+
"predict_samples_per_second": 13.238,
|
53 |
+
"predict_steps_per_second": 3.312,
|
54 |
+
"threshold_0.5_example_level_1-pk": 0.8284,
|
55 |
+
"threshold_0.5_example_level_1-wd": 0.8055,
|
56 |
+
"threshold_0.5_example_level_f1": 0.7691,
|
57 |
+
"threshold_0.5_example_level_pk": 0.17159999999999997,
|
58 |
+
"threshold_0.5_example_level_precision": 0.7781,
|
59 |
+
"threshold_0.5_example_level_recall": 0.7604,
|
60 |
+
"threshold_0.5_example_level_wd": 0.1945,
|
61 |
+
"train_loss": 0.545391144610428,
|
62 |
+
"train_runtime": 12631.9735,
|
63 |
+
"train_samples": 10739,
|
64 |
+
"train_samples_per_second": 4.251,
|
65 |
+
"train_steps_per_second": 1.063
|
66 |
+
}
|
config.json
ADDED
@@ -0,0 +1,67 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"_name_or_path": "neuralmind/bert-base-portuguese-cased",
|
3 |
+
"architectures": [
|
4 |
+
"BertWithDAForSentenceLabelingTopicSegmentation"
|
5 |
+
],
|
6 |
+
"attention_probs_dropout_prob": 0.1,
|
7 |
+
"cache_dir": null,
|
8 |
+
"cl_anchor_level": "eop_list",
|
9 |
+
"cl_loss_weight": 0.5,
|
10 |
+
"cl_negative_k": 3,
|
11 |
+
"cl_positive_k": 1,
|
12 |
+
"cl_temp": 0.1,
|
13 |
+
"classifier_dropout": null,
|
14 |
+
"config_name": null,
|
15 |
+
"directionality": "bidi",
|
16 |
+
"do_cssl": true,
|
17 |
+
"do_da_ts": true,
|
18 |
+
"do_tssp": true,
|
19 |
+
"finetuning_task": "topic_segment",
|
20 |
+
"focal_loss_gamma": 0.0,
|
21 |
+
"hidden_act": "gelu",
|
22 |
+
"hidden_dropout_prob": 0.1,
|
23 |
+
"hidden_size": 768,
|
24 |
+
"id2label": {
|
25 |
+
"0": "B-EOP",
|
26 |
+
"1": "O"
|
27 |
+
},
|
28 |
+
"ignore_mismatched_sizes": false,
|
29 |
+
"initializer_range": 0.02,
|
30 |
+
"intermediate_size": 3072,
|
31 |
+
"label2id": {
|
32 |
+
"B-EOP": 0,
|
33 |
+
"O": 1
|
34 |
+
},
|
35 |
+
"layer_norm_eps": 1e-12,
|
36 |
+
"max_position_embeddings": 512,
|
37 |
+
"model_name_or_path": "neuralmind/bert-base-portuguese-cased",
|
38 |
+
"model_revision": "main",
|
39 |
+
"model_type": "bert",
|
40 |
+
"num_attention_heads": 12,
|
41 |
+
"num_gpu": 1,
|
42 |
+
"num_hidden_layers": 12,
|
43 |
+
"num_topic_labels": 0,
|
44 |
+
"num_tssp_labels": 3,
|
45 |
+
"output_past": true,
|
46 |
+
"pad_token_id": 0,
|
47 |
+
"pooler_fc_size": 768,
|
48 |
+
"pooler_num_attention_heads": 12,
|
49 |
+
"pooler_num_fc_layers": 3,
|
50 |
+
"pooler_size_per_head": 128,
|
51 |
+
"pooler_type": "first_token_transform",
|
52 |
+
"position_embedding_type": "absolute",
|
53 |
+
"sentence_pooler_type": null,
|
54 |
+
"tokenizer_name": null,
|
55 |
+
"torch_dtype": "float32",
|
56 |
+
"transformers_version": "4.26.0",
|
57 |
+
"ts_loss_weight": 1.0,
|
58 |
+
"ts_score_predictor": "lt",
|
59 |
+
"ts_score_predictor_cos_temp": 1,
|
60 |
+
"tssp_ablation": "none",
|
61 |
+
"tssp_loss_weight": 1.0,
|
62 |
+
"type_vocab_size": 2,
|
63 |
+
"use_auth_token": false,
|
64 |
+
"use_cache": true,
|
65 |
+
"vocab_size": 29795,
|
66 |
+
"weight_label_zero": 0.5
|
67 |
+
}
|
eval_results.json
ADDED
@@ -0,0 +1,24 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"epoch": 5.0,
|
3 |
+
"eval_EOP_f1": 0.7546452702702704,
|
4 |
+
"eval_EOP_number": 2446,
|
5 |
+
"eval_EOP_precision": 0.780349344978166,
|
6 |
+
"eval_EOP_recall": 0.7305805396565822,
|
7 |
+
"eval_da_EOP_f1": 0.7679782903663502,
|
8 |
+
"eval_da_EOP_number": 2704,
|
9 |
+
"eval_da_EOP_precision": 0.8069246435845214,
|
10 |
+
"eval_da_EOP_recall": 0.7326183431952663,
|
11 |
+
"eval_da_overall_accuracy": 0.9443618109138235,
|
12 |
+
"eval_da_overall_f1": 0.7679782903663502,
|
13 |
+
"eval_da_overall_precision": 0.8069246435845214,
|
14 |
+
"eval_da_overall_recall": 0.7326183431952663,
|
15 |
+
"eval_loss": NaN,
|
16 |
+
"eval_overall_accuracy": 0.9436660687448489,
|
17 |
+
"eval_overall_f1": 0.7546452702702704,
|
18 |
+
"eval_overall_precision": 0.780349344978166,
|
19 |
+
"eval_overall_recall": 0.7305805396565822,
|
20 |
+
"eval_runtime": 115.155,
|
21 |
+
"eval_samples": 1523,
|
22 |
+
"eval_samples_per_second": 13.226,
|
23 |
+
"eval_steps_per_second": 3.309
|
24 |
+
}
|
example_level_predict_wiki_section_disease_max_seq512_ts_score_lt_results.json
ADDED
@@ -0,0 +1,19 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"EOP_f1": 0.7691492742875305,
|
3 |
+
"EOP_number": 4774,
|
4 |
+
"EOP_precision": 0.7781350482315113,
|
5 |
+
"EOP_recall": 0.7603686635944701,
|
6 |
+
"accuracy": 0.9456432259834859,
|
7 |
+
"overall_accuracy": 0.9456432259834859,
|
8 |
+
"overall_f1": 0.7691492742875305,
|
9 |
+
"overall_precision": 0.7781350482315113,
|
10 |
+
"overall_recall": 0.7603686635944701,
|
11 |
+
"predict_examples": 718,
|
12 |
+
"threshold_0.5_example_level_1-pk": 0.8284,
|
13 |
+
"threshold_0.5_example_level_1-wd": 0.8055,
|
14 |
+
"threshold_0.5_example_level_f1": 0.7691,
|
15 |
+
"threshold_0.5_example_level_pk": 0.17159999999999997,
|
16 |
+
"threshold_0.5_example_level_precision": 0.7781,
|
17 |
+
"threshold_0.5_example_level_recall": 0.7604,
|
18 |
+
"threshold_0.5_example_level_wd": 0.1945
|
19 |
+
}
|
example_level_predict_wiki_section_disease_max_seq512_ts_score_lt_results_str_metric.txt
ADDED
@@ -0,0 +1,4 @@
|
|
|
|
|
|
|
|
|
|
|
1 |
+
p / r / f / pk / wd
|
2 |
+
threshold_0.5_example_level_metric
|
3 |
+
77.81 / 76.04 / 76.91 / 17.16 / 19.45
|
4 |
+
|
predict_wiki_section_disease_max_seq512_ts_score_lt_results.json
ADDED
@@ -0,0 +1,22 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"predict_EOP_f1": 0.7691492742875305,
|
3 |
+
"predict_EOP_number": 4774,
|
4 |
+
"predict_EOP_precision": 0.7781350482315113,
|
5 |
+
"predict_EOP_recall": 0.7603686635944701,
|
6 |
+
"predict_da_EOP_f1": 0.7890958478851378,
|
7 |
+
"predict_da_EOP_number": 5339,
|
8 |
+
"predict_da_EOP_precision": 0.8184745421614007,
|
9 |
+
"predict_da_EOP_recall": 0.7617531372916276,
|
10 |
+
"predict_da_overall_accuracy": 0.9483659509785294,
|
11 |
+
"predict_da_overall_f1": 0.7890958478851378,
|
12 |
+
"predict_da_overall_precision": 0.8184745421614007,
|
13 |
+
"predict_da_overall_recall": 0.7617531372916276,
|
14 |
+
"predict_loss": NaN,
|
15 |
+
"predict_overall_accuracy": 0.9456432259834859,
|
16 |
+
"predict_overall_f1": 0.7691492742875305,
|
17 |
+
"predict_overall_precision": 0.7781350482315113,
|
18 |
+
"predict_overall_recall": 0.7603686635944701,
|
19 |
+
"predict_runtime": 220.4272,
|
20 |
+
"predict_samples_per_second": 13.238,
|
21 |
+
"predict_steps_per_second": 3.312
|
22 |
+
}
|
pytorch_model.bin
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:567df42ee1adc5e4ede487db9d98b4c4f359c7e6e8506667892385c303303ff6
|
3 |
+
size 435782697
|
run.log
ADDED
The diff for this file is too large to render.
See raw diff
|
|
special_tokens_map.json
ADDED
@@ -0,0 +1,8 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"bos_token": "[BOS]",
|
3 |
+
"cls_token": "[CLS]",
|
4 |
+
"mask_token": "[MASK]",
|
5 |
+
"pad_token": "[PAD]",
|
6 |
+
"sep_token": "[SEP]",
|
7 |
+
"unk_token": "[UNK]"
|
8 |
+
}
|
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 |
+
"cls_token": "[CLS]",
|
3 |
+
"do_basic_tokenize": true,
|
4 |
+
"do_lower_case": false,
|
5 |
+
"mask_token": "[MASK]",
|
6 |
+
"model_max_length": 1000000000000000019884624838656,
|
7 |
+
"name_or_path": "neuralmind/bert-base-portuguese-cased",
|
8 |
+
"never_split": null,
|
9 |
+
"pad_token": "[PAD]",
|
10 |
+
"sep_token": "[SEP]",
|
11 |
+
"special_tokens_map_file": "/home/ext_maiara_frodrigues2000_gmail_/.cache/huggingface/hub/models--neuralmind--bert-base-portuguese-cased/snapshots/94d69c95f98f7d5b2a8700c420230ae10def0baa/special_tokens_map.json",
|
12 |
+
"strip_accents": null,
|
13 |
+
"tokenize_chinese_chars": true,
|
14 |
+
"tokenizer_class": "BertTokenizer",
|
15 |
+
"unk_token": "[UNK]"
|
16 |
+
}
|
train_results.json
ADDED
@@ -0,0 +1,8 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"epoch": 5.0,
|
3 |
+
"train_loss": 0.545391144610428,
|
4 |
+
"train_runtime": 12631.9735,
|
5 |
+
"train_samples": 10739,
|
6 |
+
"train_samples_per_second": 4.251,
|
7 |
+
"train_steps_per_second": 1.063
|
8 |
+
}
|
trainer_state.json
ADDED
@@ -0,0 +1,175 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"best_metric": 0.7546452702702704,
|
3 |
+
"best_model_checkpoint": "./output/neuralmind/bert-base-portuguese-cased-finetune-wiki_section_disease/seed42-seq512-lr5e-05-epoch5-bs4-ts1.0-tssp1.0-cl0.5-2024-05-03_16:56:29/checkpoint-13420",
|
4 |
+
"epoch": 5.0,
|
5 |
+
"global_step": 13425,
|
6 |
+
"is_hyper_param_search": false,
|
7 |
+
"is_local_process_zero": true,
|
8 |
+
"is_world_process_zero": true,
|
9 |
+
"log_history": [
|
10 |
+
{
|
11 |
+
"epoch": 1.0,
|
12 |
+
"learning_rate": 4.000372439478585e-05,
|
13 |
+
"loss": 0.9152,
|
14 |
+
"step": 2684
|
15 |
+
},
|
16 |
+
{
|
17 |
+
"epoch": 1.0,
|
18 |
+
"eval_EOP_f1": 0.7217790669567319,
|
19 |
+
"eval_EOP_number": 2446,
|
20 |
+
"eval_EOP_precision": 0.882909520993495,
|
21 |
+
"eval_EOP_recall": 0.6103843008994276,
|
22 |
+
"eval_da_EOP_f1": 0.7340590979782271,
|
23 |
+
"eval_da_EOP_number": 2704,
|
24 |
+
"eval_da_EOP_precision": 0.9193099610461881,
|
25 |
+
"eval_da_EOP_recall": 0.6109467455621301,
|
26 |
+
"eval_da_overall_accuracy": 0.9443618109138235,
|
27 |
+
"eval_da_overall_f1": 0.7340590979782271,
|
28 |
+
"eval_da_overall_precision": 0.9193099610461881,
|
29 |
+
"eval_da_overall_recall": 0.6109467455621301,
|
30 |
+
"eval_loss": NaN,
|
31 |
+
"eval_overall_accuracy": 0.9441993503660251,
|
32 |
+
"eval_overall_f1": 0.7217790669567319,
|
33 |
+
"eval_overall_precision": 0.882909520993495,
|
34 |
+
"eval_overall_recall": 0.6103843008994276,
|
35 |
+
"eval_runtime": 115.3406,
|
36 |
+
"eval_samples_per_second": 13.204,
|
37 |
+
"eval_steps_per_second": 3.303,
|
38 |
+
"step": 2684
|
39 |
+
},
|
40 |
+
{
|
41 |
+
"epoch": 2.0,
|
42 |
+
"learning_rate": 3.0007448789571697e-05,
|
43 |
+
"loss": 0.6588,
|
44 |
+
"step": 5368
|
45 |
+
},
|
46 |
+
{
|
47 |
+
"epoch": 2.0,
|
48 |
+
"eval_EOP_f1": 0.7412026726057906,
|
49 |
+
"eval_EOP_number": 2446,
|
50 |
+
"eval_EOP_precision": 0.8140900195694716,
|
51 |
+
"eval_EOP_recall": 0.6802943581357318,
|
52 |
+
"eval_da_EOP_f1": 0.7685429790692948,
|
53 |
+
"eval_da_EOP_number": 2704,
|
54 |
+
"eval_da_EOP_precision": 0.8529544429409112,
|
55 |
+
"eval_da_EOP_recall": 0.6993343195266272,
|
56 |
+
"eval_da_overall_accuracy": 0.94705772985033,
|
57 |
+
"eval_da_overall_f1": 0.7685429790692948,
|
58 |
+
"eval_da_overall_precision": 0.8529544429409112,
|
59 |
+
"eval_da_overall_recall": 0.6993343195266272,
|
60 |
+
"eval_loss": NaN,
|
61 |
+
"eval_overall_accuracy": 0.9436660687448489,
|
62 |
+
"eval_overall_f1": 0.7412026726057906,
|
63 |
+
"eval_overall_precision": 0.8140900195694716,
|
64 |
+
"eval_overall_recall": 0.6802943581357318,
|
65 |
+
"eval_runtime": 115.0795,
|
66 |
+
"eval_samples_per_second": 13.234,
|
67 |
+
"eval_steps_per_second": 3.311,
|
68 |
+
"step": 5368
|
69 |
+
},
|
70 |
+
{
|
71 |
+
"epoch": 3.0,
|
72 |
+
"learning_rate": 2.0011173184357543e-05,
|
73 |
+
"loss": 0.4949,
|
74 |
+
"step": 8052
|
75 |
+
},
|
76 |
+
{
|
77 |
+
"epoch": 3.0,
|
78 |
+
"eval_EOP_f1": 0.7511530858774434,
|
79 |
+
"eval_EOP_number": 2446,
|
80 |
+
"eval_EOP_precision": 0.8115804461319411,
|
81 |
+
"eval_EOP_recall": 0.6991005723630417,
|
82 |
+
"eval_da_EOP_f1": 0.7725617159044921,
|
83 |
+
"eval_da_EOP_number": 2704,
|
84 |
+
"eval_da_EOP_precision": 0.8529937444146559,
|
85 |
+
"eval_da_EOP_recall": 0.705991124260355,
|
86 |
+
"eval_da_overall_accuracy": 0.9477549502649437,
|
87 |
+
"eval_da_overall_f1": 0.7725617159044921,
|
88 |
+
"eval_da_overall_precision": 0.8529937444146559,
|
89 |
+
"eval_da_overall_recall": 0.705991124260355,
|
90 |
+
"eval_loss": NaN,
|
91 |
+
"eval_overall_accuracy": 0.9450719930188588,
|
92 |
+
"eval_overall_f1": 0.7511530858774434,
|
93 |
+
"eval_overall_precision": 0.8115804461319411,
|
94 |
+
"eval_overall_recall": 0.6991005723630417,
|
95 |
+
"eval_runtime": 114.897,
|
96 |
+
"eval_samples_per_second": 13.255,
|
97 |
+
"eval_steps_per_second": 3.316,
|
98 |
+
"step": 8052
|
99 |
+
},
|
100 |
+
{
|
101 |
+
"epoch": 4.0,
|
102 |
+
"learning_rate": 1.001489757914339e-05,
|
103 |
+
"loss": 0.3741,
|
104 |
+
"step": 10736
|
105 |
+
},
|
106 |
+
{
|
107 |
+
"epoch": 4.0,
|
108 |
+
"eval_EOP_f1": 0.752757949383517,
|
109 |
+
"eval_EOP_number": 2446,
|
110 |
+
"eval_EOP_precision": 0.799265043638034,
|
111 |
+
"eval_EOP_recall": 0.7113654946852003,
|
112 |
+
"eval_da_EOP_f1": 0.7717067355454003,
|
113 |
+
"eval_da_EOP_number": 2704,
|
114 |
+
"eval_da_EOP_precision": 0.8338342636324603,
|
115 |
+
"eval_da_EOP_recall": 0.7181952662721893,
|
116 |
+
"eval_da_overall_accuracy": 0.9465929162405875,
|
117 |
+
"eval_da_overall_f1": 0.7717067355454003,
|
118 |
+
"eval_da_overall_precision": 0.8338342636324603,
|
119 |
+
"eval_da_overall_recall": 0.7181952662721893,
|
120 |
+
"eval_loss": NaN,
|
121 |
+
"eval_overall_accuracy": 0.9445871915450623,
|
122 |
+
"eval_overall_f1": 0.752757949383517,
|
123 |
+
"eval_overall_precision": 0.799265043638034,
|
124 |
+
"eval_overall_recall": 0.7113654946852003,
|
125 |
+
"eval_runtime": 114.8732,
|
126 |
+
"eval_samples_per_second": 13.258,
|
127 |
+
"eval_steps_per_second": 3.317,
|
128 |
+
"step": 10736
|
129 |
+
},
|
130 |
+
{
|
131 |
+
"epoch": 5.0,
|
132 |
+
"learning_rate": 1.86219739292365e-08,
|
133 |
+
"loss": 0.2844,
|
134 |
+
"step": 13420
|
135 |
+
},
|
136 |
+
{
|
137 |
+
"epoch": 5.0,
|
138 |
+
"eval_EOP_f1": 0.7546452702702704,
|
139 |
+
"eval_EOP_number": 2446,
|
140 |
+
"eval_EOP_precision": 0.780349344978166,
|
141 |
+
"eval_EOP_recall": 0.7305805396565822,
|
142 |
+
"eval_da_EOP_f1": 0.7679782903663502,
|
143 |
+
"eval_da_EOP_number": 2704,
|
144 |
+
"eval_da_EOP_precision": 0.8069246435845214,
|
145 |
+
"eval_da_EOP_recall": 0.7326183431952663,
|
146 |
+
"eval_da_overall_accuracy": 0.9443618109138235,
|
147 |
+
"eval_da_overall_f1": 0.7679782903663502,
|
148 |
+
"eval_da_overall_precision": 0.8069246435845214,
|
149 |
+
"eval_da_overall_recall": 0.7326183431952663,
|
150 |
+
"eval_loss": NaN,
|
151 |
+
"eval_overall_accuracy": 0.9436660687448489,
|
152 |
+
"eval_overall_f1": 0.7546452702702704,
|
153 |
+
"eval_overall_precision": 0.780349344978166,
|
154 |
+
"eval_overall_recall": 0.7305805396565822,
|
155 |
+
"eval_runtime": 114.7975,
|
156 |
+
"eval_samples_per_second": 13.267,
|
157 |
+
"eval_steps_per_second": 3.319,
|
158 |
+
"step": 13420
|
159 |
+
},
|
160 |
+
{
|
161 |
+
"epoch": 5.0,
|
162 |
+
"step": 13425,
|
163 |
+
"total_flos": 2.825625731920896e+16,
|
164 |
+
"train_loss": 0.545391144610428,
|
165 |
+
"train_runtime": 12631.9735,
|
166 |
+
"train_samples_per_second": 4.251,
|
167 |
+
"train_steps_per_second": 1.063
|
168 |
+
}
|
169 |
+
],
|
170 |
+
"max_steps": 13425,
|
171 |
+
"num_train_epochs": 5,
|
172 |
+
"total_flos": 2.825625731920896e+16,
|
173 |
+
"trial_name": null,
|
174 |
+
"trial_params": null
|
175 |
+
}
|
training_args.bin
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:3194332b372ea2b036e0fccb377db061e11a589363b40609c5b08e15e729e4f7
|
3 |
+
size 3759
|
vocab.txt
ADDED
The diff for this file is too large to render.
See raw diff
|
|