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Browse files- README.md +27 -0
- checkpoint-180/config.json +38 -0
- checkpoint-180/model.safetensors +3 -0
- checkpoint-180/optimizer.pt +3 -0
- checkpoint-180/rng_state.pth +3 -0
- checkpoint-180/scheduler.pt +3 -0
- checkpoint-180/trainer_state.json +209 -0
- checkpoint-180/training_args.bin +3 -0
- config.json +38 -0
- merges.txt +0 -0
- model.safetensors +3 -0
- runs/May13_23-05-20_r-stepharn-stressmentalroberta-7m8zgded-62560-bmxm9/events.out.tfevents.1715641520.r-stepharn-stressmentalroberta-7m8zgded-62560-bmxm9.94.0 +2 -2
- runs/May13_23-05-20_r-stepharn-stressmentalroberta-7m8zgded-62560-bmxm9/events.out.tfevents.1715644274.r-stepharn-stressmentalroberta-7m8zgded-62560-bmxm9.94.1 +3 -0
- special_tokens_map.json +51 -0
- tokenizer.json +0 -0
- tokenizer_config.json +57 -0
- training_args.bin +3 -0
- training_params.json +28 -0
- vocab.json +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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- StressTweetRobertaSentiment/autotrain-data
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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: 0.39284127950668335
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f1: 0.91
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precision: 0.8921568627450981
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recall: 0.9285714285714286
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auc: 0.957133746355685
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accuracy: 0.8831168831168831
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checkpoint-180/config.json
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"_name_or_path": "cardiffnlp/twitter-roberta-base-sentiment-latest",
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"_num_labels": 2,
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"architectures": [
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"RobertaForSequenceClassification"
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],
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"attention_probs_dropout_prob": 0.1,
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"bos_token_id": 0,
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"hidden_act": "gelu",
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"hidden_size": 768,
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"id2label": {
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"0": "0",
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"layer_norm_eps": 1e-05,
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"model_type": "roberta",
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"num_attention_heads": 12,
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"num_hidden_layers": 12,
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"pad_token_id": 1,
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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": "4.40.1",
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"type_vocab_size": 1,
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"use_cache": true,
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}
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checkpoint-180/model.safetensors
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checkpoint-180/optimizer.pt
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vocab.json
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