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Training in progress epoch 0
Browse files- README.md +3 -5
- tf_model.h5 +1 -1
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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- Train Loss: 0.
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- Validation Loss: 0.2498
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- Train Precision: 0.6477
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- Train Recall: 0.4617
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- Train F1: 0.5391
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- Train Accuracy: 0.9488
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- Epoch:
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## Model description
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| Train Loss | Validation Loss | Train Precision | Train Recall | Train F1 | Train Accuracy | Epoch |
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|:----------:|:---------------:|:---------------:|:------------:|:--------:|:--------------:|:-----:|
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| 0.
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| 0.1107 | 0.2498 | 0.6477 | 0.4617 | 0.5391 | 0.9488 | 1 |
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| 0.1011 | 0.2498 | 0.6477 | 0.4617 | 0.5391 | 0.9488 | 2 |
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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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- Train Loss: 0.1014
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- Validation Loss: 0.2498
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- Train Precision: 0.6477
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- Train Recall: 0.4617
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- Train F1: 0.5391
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- Train Accuracy: 0.9488
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- Epoch: 0
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## Model description
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| Train Loss | Validation Loss | Train Precision | Train Recall | Train F1 | Train Accuracy | Epoch |
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|:----------:|:---------------:|:---------------:|:------------:|:--------:|:--------------:|:-----:|
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| 0.1014 | 0.2498 | 0.6477 | 0.4617 | 0.5391 | 0.9488 | 0 |
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### Framework versions
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tf_model.h5
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version https://git-lfs.github.com/spec/v1
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size 265618704
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version https://git-lfs.github.com/spec/v1
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size 265618704
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