transformer_qa_with_batch
Browse files- README.md +4 -4
- model.bin +3 -0
- model.safetensors +1 -1
- training_args.bin +1 -1
README.md
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This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 5.
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## Model description
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| Training Loss | Epoch | Step | Validation Loss |
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|:-------------:|:-----:|:----:|:---------------:|
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| No log | 1.0 |
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| No log | 2.0 |
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| No log | 3.0 |
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### Framework versions
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This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 5.5911
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## Model description
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| Training Loss | Epoch | Step | Validation Loss |
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|:-------------:|:-----:|:----:|:---------------:|
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| No log | 1.0 | 6 | 5.8362 |
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| No log | 2.0 | 12 | 5.6728 |
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| No log | 3.0 | 18 | 5.5911 |
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### Framework versions
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model.bin
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model.safetensors
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training_args.bin
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