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Browse files- README.md +36 -0
- checkpoint-112/config.json +48 -0
- checkpoint-112/model.safetensors +3 -0
- checkpoint-112/optimizer.pt +3 -0
- checkpoint-112/rng_state.pth +3 -0
- checkpoint-112/scheduler.pt +3 -0
- checkpoint-112/trainer_state.json +214 -0
- checkpoint-112/training_args.bin +3 -0
- config.json +48 -0
- model.safetensors +3 -0
- runs/Nov29_20-38-16_r-rss9051-helloword-ruz7g2f3-654e6-pbts8/events.out.tfevents.1732912699.r-rss9051-helloword-ruz7g2f3-654e6-pbts8.148.0 +2 -2
- runs/Nov29_20-38-16_r-rss9051-helloword-ruz7g2f3-654e6-pbts8/events.out.tfevents.1732924116.r-rss9051-helloword-ruz7g2f3-654e6-pbts8.148.1 +3 -0
- special_tokens_map.json +37 -0
- tokenizer.json +0 -0
- tokenizer_config.json +64 -0
- training_args.bin +3 -0
- training_params.json +30 -0
- vocab.txt +0 -0
README.md
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---
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tags:
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- autotrain
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- text-classification
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base_model: rss9051/autotrein-BERT-iiLEX-dgs-0003
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widget:
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- text: "I love AutoTrain"
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---
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# Model Trained Using AutoTrain
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- Problem type: Text Classification
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## Validation Metrics
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loss: 1.5718337297439575
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f1_macro: 0.5764297665936106
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f1_micro: 0.6607142857142857
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f1_weighted: 0.6685474450942381
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precision_macro: 0.5781369792997699
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precision_micro: 0.6607142857142857
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precision_weighted: 0.6808154556545336
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recall_macro: 0.5778714544420972
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recall_micro: 0.6607142857142857
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recall_weighted: 0.6607142857142857
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accuracy: 0.6607142857142857
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checkpoint-112/config.json
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{
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"_name_or_path": "rss9051/autotrein-BERT-iiLEX-dgs-0003",
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"_num_labels": 5,
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"architectures": [
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"BertForSequenceClassification"
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],
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"attention_probs_dropout_prob": 0.1,
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"classifier_dropout": null,
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"directionality": "bidi",
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"hidden_act": "gelu",
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"hidden_dropout_prob": 0.1,
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"hidden_size": 768,
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"id2label": {
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"0": "1 - INTIMA\u00c7\u00c3O INICIAL",
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"1": "2 - INTIMA\u00c7\u00c3O INSTRU\u00c7\u00c3O",
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"2": "3 - INTIMA\u00c7\u00c3O RECURSAL",
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"3": "4 - INTIMA\u00c7\u00c3O CUMPRIMENTO DE SENTEN\u00c7A",
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"4": "5 - INTIMA\u00c7\u00c3O TR\u00c2NSITO"
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},
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"initializer_range": 0.02,
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"intermediate_size": 3072,
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"label2id": {
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"1 - INTIMA\u00c7\u00c3O INICIAL": 0,
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"2 - INTIMA\u00c7\u00c3O INSTRU\u00c7\u00c3O": 1,
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"3 - INTIMA\u00c7\u00c3O RECURSAL": 2,
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"4 - INTIMA\u00c7\u00c3O CUMPRIMENTO DE SENTEN\u00c7A": 3,
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"5 - INTIMA\u00c7\u00c3O TR\u00c2NSITO": 4
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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_type": "bert",
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"num_attention_heads": 12,
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"num_hidden_layers": 12,
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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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"problem_type": "single_label_classification",
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"torch_dtype": "float32",
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"transformers_version": "4.46.2",
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"type_vocab_size": 2,
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"use_cache": true,
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"vocab_size": 29794
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}
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checkpoint-112/model.safetensors
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checkpoint-112/optimizer.pt
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checkpoint-112/rng_state.pth
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checkpoint-112/scheduler.pt
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checkpoint-112/trainer_state.json
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