Model save
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- training_args.bin +1 -1
README.md
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# model_26
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This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- eval_loss: 0.7462
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- eval_accuracy: 0.7171
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- eval_precision: 0.7164
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- eval_recall: 0.7171
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- eval_f1: 0.7155
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- eval_runtime: 12.9163
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- eval_samples_per_second: 948.029
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- eval_steps_per_second: 7.432
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- epoch: 19.0
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- step: 7277
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## Model description
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### Training hyperparameters
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The following hyperparameters were used during training:
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- learning_rate:
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- train_batch_size: 128
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- eval_batch_size: 128
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- seed: 42
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# model_26
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This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on an unknown dataset.
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## Model description
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### Training hyperparameters
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The following hyperparameters were used during training:
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- learning_rate: 1e-05
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- train_batch_size: 128
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- eval_batch_size: 128
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- seed: 42
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adapter_model.safetensors
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training_args.bin
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