MatteoWood
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Browse files- README.md +27 -0
- checkpoint-4000/config.json +36 -0
- checkpoint-4000/model.safetensors +3 -0
- checkpoint-4000/optimizer.pt +3 -0
- checkpoint-4000/rng_state.pth +3 -0
- checkpoint-4000/scheduler.pt +3 -0
- checkpoint-4000/trainer_state.json +285 -0
- checkpoint-4000/training_args.bin +3 -0
- config.json +36 -0
- model.safetensors +3 -0
- special_tokens_map.json +7 -0
- tokenizer.json +0 -0
- tokenizer_config.json +55 -0
- training_args.bin +3 -0
- training_params.json +1 -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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widget:
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- text: "I love AutoTrain"
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datasets:
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- MatteoWood/autotrain-data-bert-sexism-classifier-v2
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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: 0.36799120903015137
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f1: 0.7044155844155844
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precision: 0.7251336898395722
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recall: 0.6848484848484848
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auc: 0.8958072418537535
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accuracy: 0.85775
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checkpoint-4000/config.json
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{
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"_name_or_path": "bert-base-uncased",
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"_num_labels": 2,
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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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"gradient_checkpointing": false,
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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": "not sexist",
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"1": "sexist"
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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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"not sexist": 0,
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"sexist": 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_type": "bert",
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"num_attention_heads": 12,
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"num_hidden_layers": 12,
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"pad_token_id": 0,
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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": "4.35.1",
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"type_vocab_size": 2,
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"use_cache": true,
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"vocab_size": 30522
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}
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checkpoint-4000/model.safetensors
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size 437958648
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checkpoint-4000/optimizer.pt
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size 876032762
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checkpoint-4000/rng_state.pth
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checkpoint-4000/scheduler.pt
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vocab.txt
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