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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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- F1: 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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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: 0.0132
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- Accuracy: 0.9972
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- F1: 0.9965
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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: 1
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### Training results
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runs/Apr30_11-42-00_de3ba61f9615/events.out.tfevents.1714477357.de3ba61f9615.259.10
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version https://git-lfs.github.com/spec/v1
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oid sha256:9280e7106b0eb42d789d155339fac627c4e6797669563a12ef98a7b15cf6c2d3
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size 450
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