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my-roberta-finetuned-model
Browse files- README.md +8 -6
- model.safetensors +1 -1
- 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 the None dataset.
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It achieves the following results on the evaluation set:
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- Loss:
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- Accuracy: 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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- num_epochs:
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Accuracy |
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|:-------------:|:-----:|:----:|:---------------:|:--------:|
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| No log | 1.0 | 207 | 1.
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| No log | 2.0 | 414 |
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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 the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.9481
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- Accuracy: 0.6839
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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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- num_epochs: 5
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Accuracy |
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|:-------------:|:-----:|:----:|:---------------:|:--------:|
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| No log | 1.0 | 207 | 1.0120 | 0.6206 |
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| No log | 2.0 | 414 | 0.9914 | 0.6357 |
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| 0.9337 | 3.0 | 621 | 0.9531 | 0.6609 |
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| 0.9337 | 4.0 | 828 | 0.9469 | 0.6825 |
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| 0.7962 | 5.0 | 1035 | 0.9481 | 0.6839 |
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### Framework versions
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model.safetensors
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training_args.bin
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