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README.md
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license: mit
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base_model: microsoft/deberta-v3-large
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tags:
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- generated_from_trainer
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metrics:
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# deberta-v3-large-imdb-v0.2
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This model is a fine-tuned version of [microsoft/deberta-v3-large](https://huggingface.co/microsoft/deberta-v3-large) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Recall: 0.9670
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## Model description
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---
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license: mit
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base_model: microsoft/deberta-v3-large
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datasets:
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- imdb
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tags:
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- generated_from_trainer
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metrics:
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# deberta-v3-large-imdb-v0.2
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This model is a fine-tuned version of [microsoft/deberta-v3-large](https://huggingface.co/microsoft/deberta-v3-large) on an unknown dataset.
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It achieves the following results on the evaluation set @ epoch 9 of 10, which is loaded as the best model here:
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- Accuracy: 0.9656
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- F1: 0.9657
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- Precision: 0.9640
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- Recall: 0.9673
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## Model description
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