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- tf_model.h5 +1 -1
README.md
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tags:
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- generated_from_keras_callback
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model-index:
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- name: decision-distilbert-uncased
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results: []
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---
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<!-- This model card has been generated automatically according to the information Keras had access to. You should
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probably proofread and complete it, then remove this comment. -->
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# decision-distilbert-uncased
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This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/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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- Train Accuracy: 0.
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- Epoch:
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## Model description
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| Train Loss | Train Accuracy | Epoch |
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|:----------:|:--------------:|:-----:|
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| 0.
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| 0.2213 | 0.9695 | 1 |
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| 0.1047 | 0.9835 | 2 |
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| 0.0664 | 0.9910 | 3 |
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| 0.0476 | 0.9915 | 4 |
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| 0.0324 | 0.9950 | 5 |
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| 0.0228 | 0.9970 | 6 |
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| 0.0185 | 0.9965 | 7 |
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| 0.0130 | 0.9990 | 8 |
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| 0.0102 | 0.9995 | 9 |
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### Framework versions
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tags:
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- generated_from_keras_callback
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model-index:
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- name: AnaniyaX/decision-distilbert-uncased
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results: []
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---
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<!-- This model card has been generated automatically according to the information Keras had access to. You should
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probably proofread and complete it, then remove this comment. -->
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# AnaniyaX/decision-distilbert-uncased
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This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/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: 0.1914
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- Train Accuracy: 0.9444
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- Epoch: 0
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## Model description
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| Train Loss | Train Accuracy | Epoch |
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|:----------:|:--------------:|:-----:|
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| 0.1914 | 0.9444 | 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 267955144
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version https://git-lfs.github.com/spec/v1
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size 267955144
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