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End of training
Browse files- README.md +15 -9
- pytorch_model.bin +1 -1
- tokenizer.json +2 -14
- training_args.bin +1 -1
README.md
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This model is a fine-tuned version of [roberta-base](https://huggingface.co/roberta-base) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- eval_runtime: 2.874
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- eval_samples_per_second: 86.291
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- eval_steps_per_second: 10.786
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- epoch: 9.17
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- step: 2274
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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: 8
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- eval_batch_size: 8
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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 [roberta-base](https://huggingface.co/roberta-base) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.7182
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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: 8
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- eval_batch_size: 8
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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: 1000
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- num_epochs: 5
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### Training results
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| Training Loss | Epoch | Step | Validation Loss |
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|:-------------:|:-----:|:----:|:---------------:|
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| 1.0537 | 1.0 | 248 | 1.0521 |
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| 0.885 | 2.0 | 496 | 0.9320 |
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| 0.7924 | 3.0 | 744 | 0.7895 |
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| 0.803 | 4.0 | 992 | 0.7182 |
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| 0.473 | 5.0 | 1240 | 0.7649 |
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### Framework versions
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pytorch_model.bin
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tokenizer.json
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training_args.bin
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