End of training
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README.md
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metrics:
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- accuracy
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- f1
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model-index:
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- name: imdb_sentiment_model
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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.
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- Accuracy: 0.9140
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- F1: 0.
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## Model description
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metrics:
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- accuracy
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- f1
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- precision
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- recall
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model-index:
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- name: imdb_sentiment_model
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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: 0.2687
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- Accuracy: 0.9140
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- F1: 0.9145
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- Precision: 0.9129
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- Recall: 0.9160
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## Model description
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runs/Nov28_02-18-01_ed7e1ab1098e/events.out.tfevents.1701140753.ed7e1ab1098e.279.1
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version https://git-lfs.github.com/spec/v1
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oid sha256:8f4b55969c0a1878c8fca6dacf580e4170f40dcf1cc12923cbf1b849431eb78a
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size 560
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