ibrahimVicomtech
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Upload TFDistilBertForTokenClassification
Browse files- README.md +10 -10
- tf_model.h5 +1 -1
README.md
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---
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base_model: distilbert/distilbert-base-uncased
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license: apache-2.0
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tags:
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- generated_from_keras_callback
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model-index:
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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: 1.
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- Validation Loss: 1.
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- Train Precision: 0.
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- Train Recall: 0.
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- Train F1: 0.
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- Train Accuracy: 0.
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- Epoch: 2
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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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### Framework versions
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---
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license: apache-2.0
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base_model: distilbert/distilbert-base-uncased
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tags:
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- generated_from_keras_callback
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model-index:
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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: 1.0810
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- Validation Loss: 1.6858
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- Train Precision: 0.3411
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- Train Recall: 0.1705
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- Train F1: 0.2273
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- Train Accuracy: 0.6749
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- Epoch: 2
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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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| 2.4440 | 2.3476 | 0.0 | 0.0 | 0.0 | 0.6084 | 0 |
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| 1.2442 | 1.7924 | 0.43 | 0.0156 | 0.0302 | 0.6140 | 1 |
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| 1.0810 | 1.6858 | 0.3411 | 0.1705 | 0.2273 | 0.6749 | 2 |
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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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oid sha256:
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size 265975056
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version https://git-lfs.github.com/spec/v1
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size 265975056
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