End of training
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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 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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- Precision: 0.0
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- Recall: 0.0
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- F1: 0.0
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- Accuracy: 0.
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## Model description
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- seed: 42
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- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
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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 | Precision | Recall | F1 | Accuracy |
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|:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:---:|:--------:|
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| No log | 1.0 | 3 | 0.
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| No log | 2.0 | 6 | 0.
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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 the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.2825
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- Precision: 0.0
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- Recall: 0.0
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- F1: 0.0
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- Accuracy: 0.92
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## Model description
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- seed: 42
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- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
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- lr_scheduler_type: linear
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- num_epochs: 10
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 | Accuracy |
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|:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:---:|:--------:|
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| No log | 1.0 | 3 | 0.5806 | 0.0 | 0.0 | 0.0 | 0.92 |
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| No log | 2.0 | 6 | 0.3634 | 0.0 | 0.0 | 0.0 | 0.92 |
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| No log | 3.0 | 9 | 0.3389 | 0.0 | 0.0 | 0.0 | 0.92 |
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| No log | 4.0 | 12 | 0.3395 | 0.0 | 0.0 | 0.0 | 0.92 |
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| No log | 5.0 | 15 | 0.3212 | 0.0 | 0.0 | 0.0 | 0.92 |
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| No log | 6.0 | 18 | 0.3025 | 0.0 | 0.0 | 0.0 | 0.92 |
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| No log | 7.0 | 21 | 0.2912 | 0.0 | 0.0 | 0.0 | 0.92 |
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| No log | 8.0 | 24 | 0.2857 | 0.0 | 0.0 | 0.0 | 0.92 |
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| No log | 9.0 | 27 | 0.2832 | 0.0 | 0.0 | 0.0 | 0.92 |
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| No log | 10.0 | 30 | 0.2825 | 0.0 | 0.0 | 0.0 | 0.92 |
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### Framework versions
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model.safetensors
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runs/Jan16_10-38-08_f35fb2804064/events.out.tfevents.1737023891.f35fb2804064.206.2
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