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.gitattributes ADDED
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+ pytorch_model.bin filter=lfs diff=lfs merge=lfs -text
BatchSize_64_Metrics.txt ADDED
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+ Date: 10-28, 15:24
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+ Batch Size: 64
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+ Eval Strategy: no
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+ Early Stopping: steps
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+ Early Stopping Patience: 5
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+ Best Model Metric: None
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+ {'eval_loss': 0.33899015188217163, 'eval_accuracy': 0.8544776119402985, 'eval_f1': 0.8381742738589212, 'eval_runtime': 8.8125, 'eval_samples_per_second': 60.822, 'eval_steps_per_second': 1.021, 'epoch': 15.62}
config.json ADDED
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+ {
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+ "DistilBertForSequenceClassification"
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+ "n_layers": 6,
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+ "problem_type": "single_label_classification",
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+ "qa_dropout": 0.1,
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+ "seq_classif_dropout": 0.2,
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+ "tie_weights_": true,
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+ "torch_dtype": "float32",
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+ "transformers_version": "4.27.1",
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+ }
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tokenizer.json ADDED
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tokenizer_config.json ADDED
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training_args.bin ADDED
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vocab.txt ADDED
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