End of training
Browse files- README.md +8 -8
- model.safetensors +1 -1
- runs/Jun06_06-10-43_27de48a3f45e/events.out.tfevents.1717654251.27de48a3f45e.445.6 +3 -0
- runs/Jun06_06-10-43_27de48a3f45e/events.out.tfevents.1717654312.27de48a3f45e.445.7 +3 -0
- runs/Jun06_06-18-20_27de48a3f45e/events.out.tfevents.1717654711.27de48a3f45e.445.8 +3 -0
- runs/Jun06_06-18-20_27de48a3f45e/events.out.tfevents.1717654768.27de48a3f45e.445.9 +3 -0
- runs/Jun06_06-19-38_27de48a3f45e/events.out.tfevents.1717654786.27de48a3f45e.445.10 +3 -0
- runs/Jun06_06-19-38_27de48a3f45e/events.out.tfevents.1717654844.27de48a3f45e.445.11 +3 -0
- training_args.bin +1 -1
README.md
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This model is a fine-tuned version of [distilbert/distilbert-base-uncased](https://huggingface.co/distilbert/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.
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- eval_accuracy: {'accuracy':
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- eval_f1score: {'f1':
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- eval_runtime: 2.
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- eval_samples_per_second: 46.
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- eval_steps_per_second: 5.
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- step: 0
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## Model description
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- seed: 42
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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- lr_scheduler_type: linear
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- lr_scheduler_warmup_steps:
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- num_epochs:
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### Framework versions
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This model is a fine-tuned version of [distilbert/distilbert-base-uncased](https://huggingface.co/distilbert/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: 0.8152
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- eval_accuracy: {'accuracy': 0.6825396825396826}
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- eval_f1score: {'f1': 0.553758610362384}
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- eval_runtime: 2.7313
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- eval_samples_per_second: 46.131
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- eval_steps_per_second: 5.858
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- step: 0
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## Model description
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- seed: 42
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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- lr_scheduler_type: linear
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- lr_scheduler_warmup_steps: 12
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- num_epochs: 2
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### Framework versions
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model.safetensors
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