thedavidhackett
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End of training
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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: 0.
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- Accuracy: 0.
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## Model description
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| Training Loss | Epoch | Step | Validation Loss | Accuracy |
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|:-------------:|:-----:|:----:|:---------------:|:--------:|
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### Framework versions
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- Transformers 4.
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- Pytorch 2.1.0+cu118
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- Datasets 2.14.
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- Tokenizers 0.14.1
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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: 0.1296
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- Accuracy: 0.9673
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## Model description
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| Training Loss | Epoch | Step | Validation Loss | Accuracy |
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|:-------------:|:-----:|:----:|:---------------:|:--------:|
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| 0.2003 | 1.0 | 520 | 0.1229 | 0.9571 |
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| 0.1189 | 2.0 | 1040 | 0.1006 | 0.9639 |
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| 0.0793 | 3.0 | 1560 | 0.1006 | 0.9646 |
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| 0.0645 | 4.0 | 2080 | 0.1381 | 0.9673 |
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| 0.0474 | 5.0 | 2600 | 0.1296 | 0.9673 |
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### Framework versions
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- Transformers 4.35.1
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- Pytorch 2.1.0+cu118
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- Datasets 2.14.7
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- Tokenizers 0.14.1
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config.json
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"sinusoidal_pos_embds": false,
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"tie_weights_": true,
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"torch_dtype": "float32",
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"transformers_version": "4.
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"vocab_size": 30522
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}
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"sinusoidal_pos_embds": false,
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"tie_weights_": true,
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"torch_dtype": "float32",
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"transformers_version": "4.35.1",
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"vocab_size": 30522
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}
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model.safetensors
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runs/Nov15_14-57-48_2ea62244593f/events.out.tfevents.1700060281.2ea62244593f.3923.0
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training_args.bin
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