lucianoacsilva
commited on
Commit
•
132573d
1
Parent(s):
d712b20
feature: Primeiro upload do modelo
Browse files- .gitattributes +1 -0
- 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
- infer.log +0 -0
- predict_wiki_section_disease_max_seq512_ts_score_lt.txt +3 -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
.gitattributes
CHANGED
@@ -33,3 +33,4 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
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*.zip filter=lfs diff=lfs merge=lfs -text
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*.zst filter=lfs diff=lfs merge=lfs -text
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*tfevents* filter=lfs diff=lfs merge=lfs -text
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*.zip filter=lfs diff=lfs merge=lfs -text
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*.zst filter=lfs diff=lfs merge=lfs -text
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*tfevents* filter=lfs diff=lfs merge=lfs -text
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predict_wiki_section_disease_max_seq512_ts_score_lt.txt filter=lfs diff=lfs merge=lfs -text
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added_tokens.json
ADDED
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{
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"[BOS]": 29794
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}
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all_results.json
ADDED
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{
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"accuracy": 0.9953893956099028,
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"epoch": 5.0,
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"eval_da_overall_precision": 0.968798751950078,
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"eval_da_overall_recall": 0.9078947368421053,
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"eval_loss": NaN,
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"eval_overall_f1": 0.9836132732486685,
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"eval_overall_precision": 0.985632183908046,
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"eval_overall_recall": 0.9816026165167621,
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"eval_runtime": 345.7738,
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"eval_samples": 1527,
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"eval_samples_per_second": 4.416,
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"overall_accuracy": 0.9953893956099028,
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"overall_f1": 0.9807168308530706,
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"overall_precision": 0.9813338926174496,
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"overall_recall": 0.9801005446166736,
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"predict_EOP_f1": 0.9807168308530706,
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"predict_examples": 718,
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"predict_loss": NaN,
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"predict_overall_accuracy": 0.9953893956099028,
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"predict_overall_f1": 0.9807168308530706,
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"predict_overall_precision": 0.9813338926174496,
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"predict_overall_recall": 0.9801005446166736,
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"predict_runtime": 671.1845,
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"predict_samples_per_second": 4.349,
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"predict_steps_per_second": 1.088,
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"threshold_0.5_example_level_1-pk": 0.986,
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"threshold_0.5_example_level_1-wd": 0.9829,
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"threshold_0.5_example_level_f1": 0.9807,
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"threshold_0.5_example_level_pk": 0.014000000000000012,
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"threshold_0.5_example_level_precision": 0.9813,
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"threshold_0.5_example_level_recall": 0.9801,
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"threshold_0.5_example_level_wd": 0.017100000000000004,
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"train_loss": 0.3830805900915345,
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"train_runtime": 38367.8373,
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"train_samples": 10720,
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"train_samples_per_second": 1.397,
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"train_steps_per_second": 0.349
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}
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config.json
ADDED
@@ -0,0 +1,67 @@
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{
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"_name_or_path": "neuralmind/bert-large-portuguese-cased",
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"architectures": [
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"BertWithDAForSentenceLabelingTopicSegmentation"
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],
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"attention_probs_dropout_prob": 0.1,
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"cache_dir": null,
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"cl_anchor_level": "eop_list",
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"cl_loss_weight": 0.5,
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"cl_negative_k": 3,
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"cl_positive_k": 1,
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"cl_temp": 0.1,
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"classifier_dropout": null,
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"config_name": null,
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"directionality": "bidi",
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"do_cssl": true,
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"do_da_ts": true,
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"do_tssp": true,
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"finetuning_task": "topic_segment",
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"focal_loss_gamma": 0.0,
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"hidden_act": "gelu",
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"hidden_dropout_prob": 0.1,
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"hidden_size": 1024,
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"id2label": {
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"0": "B-EOP",
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"1": "O"
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},
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"ignore_mismatched_sizes": false,
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"initializer_range": 0.02,
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"intermediate_size": 4096,
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"label2id": {
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"B-EOP": 0,
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"O": 1
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},
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"layer_norm_eps": 1e-12,
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"max_position_embeddings": 512,
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"model_name_or_path": "neuralmind/bert-large-portuguese-cased",
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"model_revision": "main",
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"model_type": "bert",
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"num_attention_heads": 16,
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"num_gpu": 1,
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"num_hidden_layers": 24,
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"num_topic_labels": 0,
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"num_tssp_labels": 3,
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"output_past": true,
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"pad_token_id": 0,
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"pooler_fc_size": 768,
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"pooler_num_attention_heads": 12,
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"pooler_num_fc_layers": 3,
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"pooler_size_per_head": 128,
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"pooler_type": "first_token_transform",
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"position_embedding_type": "absolute",
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"sentence_pooler_type": null,
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"tokenizer_name": null,
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"torch_dtype": "float32",
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"transformers_version": "4.26.0",
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"ts_loss_weight": 1.0,
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"ts_score_predictor": "lt",
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"ts_score_predictor_cos_temp": 1,
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"tssp_ablation": "none",
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"tssp_loss_weight": 1.0,
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"type_vocab_size": 2,
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"use_auth_token": false,
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"use_cache": true,
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"vocab_size": 29795,
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"weight_label_zero": 0.5
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}
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eval_results.json
ADDED
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{
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"epoch": 5.0,
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"eval_EOP_f1": 0.9836132732486685,
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"eval_EOP_number": 2446,
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"eval_EOP_precision": 0.985632183908046,
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"eval_EOP_recall": 0.9816026165167621,
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"eval_da_EOP_f1": 0.9373584905660378,
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"eval_da_EOP_number": 2736,
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"eval_da_EOP_precision": 0.968798751950078,
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"eval_da_EOP_recall": 0.9078947368421053,
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"eval_da_overall_accuracy": 0.985526201063737,
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"eval_da_overall_f1": 0.9373584905660378,
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"eval_da_overall_precision": 0.968798751950078,
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"eval_da_overall_recall": 0.9078947368421053,
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"eval_loss": NaN,
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"eval_overall_accuracy": 0.9961055398695355,
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"eval_overall_f1": 0.9836132732486685,
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"eval_overall_precision": 0.985632183908046,
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"eval_overall_recall": 0.9816026165167621,
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"eval_runtime": 345.7738,
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"eval_samples": 1527,
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"eval_samples_per_second": 4.416,
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"eval_steps_per_second": 1.105
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}
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example_level_predict_wiki_section_disease_max_seq512_ts_score_lt_results.json
ADDED
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{
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"EOP_f1": 0.9807168308530706,
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"EOP_number": 4774,
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"EOP_precision": 0.9813338926174496,
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"EOP_recall": 0.9801005446166736,
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"accuracy": 0.9953893956099028,
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"overall_accuracy": 0.9953893956099028,
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"overall_f1": 0.9807168308530706,
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"overall_precision": 0.9813338926174496,
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"overall_recall": 0.9801005446166736,
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"predict_examples": 718,
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"threshold_0.5_example_level_1-pk": 0.986,
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"threshold_0.5_example_level_1-wd": 0.9829,
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"threshold_0.5_example_level_f1": 0.9807,
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"threshold_0.5_example_level_pk": 0.014000000000000012,
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"threshold_0.5_example_level_precision": 0.9813,
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"threshold_0.5_example_level_recall": 0.9801,
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"threshold_0.5_example_level_wd": 0.017100000000000004
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}
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example_level_predict_wiki_section_disease_max_seq512_ts_score_lt_results_str_metric.txt
ADDED
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p / r / f / pk / wd
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threshold_0.5_example_level_metric
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98.13 / 98.01 / 98.07 / 1.40 / 1.71
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infer.log
ADDED
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predict_wiki_section_disease_max_seq512_ts_score_lt.txt
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version https://git-lfs.github.com/spec/v1
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oid sha256:327a37568a8b57c9483f0f8a3a789c1a09360e483bcee0b4d9bf3c51e85c5da8
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size 15636892
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predict_wiki_section_disease_max_seq512_ts_score_lt_results.json
ADDED
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{
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"predict_EOP_f1": 0.9807168308530706,
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"predict_EOP_number": 4774,
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"predict_EOP_precision": 0.9813338926174496,
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"predict_EOP_recall": 0.9801005446166736,
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"predict_da_EOP_number": 5281,
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"predict_da_overall_accuracy": 0.9861948800428897,
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"predict_loss": NaN,
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"predict_overall_accuracy": 0.9953893956099028,
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"predict_overall_f1": 0.9807168308530706,
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"predict_overall_precision": 0.9813338926174496,
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"predict_overall_recall": 0.9801005446166736,
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"predict_runtime": 671.1845,
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"predict_samples_per_second": 4.349,
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"predict_steps_per_second": 1.088
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}
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pytorch_model.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:2148fe30fc1ed348407799ba9f54bd9a29ef4ab2f99253d4ccbb85bac056b3ec
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size 1337746921
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run.log
ADDED
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special_tokens_map.json
ADDED
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{
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"bos_token": "[BOS]",
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"cls_token": "[CLS]",
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"mask_token": "[MASK]",
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"pad_token": "[PAD]",
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"sep_token": "[SEP]",
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"unk_token": "[UNK]"
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}
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tokenizer.json
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tokenizer_config.json
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{
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"cls_token": "[CLS]",
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"do_basic_tokenize": true,
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"do_lower_case": false,
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