Uploading food not food text classifier model (putting it all together!)
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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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- Loss: 0.
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- Accuracy: 1.0
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## Model description
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| Training Loss | Epoch | Step | Validation Loss | Accuracy |
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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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- Loss: 0.0005
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- Accuracy: 1.0
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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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| 0.3943 | 1.0 | 7 | 0.0926 | 1.0 |
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| 0.0403 | 2.0 | 14 | 0.0067 | 1.0 |
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| 0.0047 | 3.0 | 21 | 0.0021 | 1.0 |
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| 0.0018 | 4.0 | 28 | 0.0011 | 1.0 |
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| 0.001 | 5.0 | 35 | 0.0008 | 1.0 |
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| 0.0008 | 6.0 | 42 | 0.0006 | 1.0 |
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| 0.0007 | 7.0 | 49 | 0.0006 | 1.0 |
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| 0.0006 | 8.0 | 56 | 0.0005 | 1.0 |
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| 0.0005 | 9.0 | 63 | 0.0005 | 1.0 |
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| 0.0006 | 10.0 | 70 | 0.0005 | 1.0 |
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### Framework versions
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model.safetensors
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training_args.bin
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