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update model card README.md
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README.md
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license: apache-2.0
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tags:
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- generated_from_trainer
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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: tonality
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results: []
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# tonality
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This model is a fine-tuned version of [distilbert-base-cased](https://huggingface.co/distilbert-base-cased) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.4069
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- Accuracy: 0.8205
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- F1: 0.8194
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## Model description
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- lr_scheduler_type: linear
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- num_epochs: 3
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 |
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|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
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| 0.4257 | 1.0 | 73 | 0.4153 | 0.811 | 0.8087 |
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| 0.3588 | 2.0 | 146 | 0.4020 | 0.824 | 0.8234 |
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| 0.3279 | 3.0 | 219 | 0.4069 | 0.8205 | 0.8194 |
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### Framework versions
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- Transformers 4.21.0
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license: apache-2.0
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tags:
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- generated_from_trainer
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model-index:
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- name: tonality
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results: []
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# tonality
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This model is a fine-tuned version of [distilbert-base-cased](https://huggingface.co/distilbert-base-cased) on an unknown dataset.
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## Model description
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- lr_scheduler_type: linear
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- num_epochs: 3
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### Framework versions
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- Transformers 4.21.0
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