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--- |
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license: mit |
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tags: |
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- generated_from_trainer |
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metrics: |
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- precision |
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- recall |
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- f1 |
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- accuracy |
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model-index: |
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- name: camembert-base-finetuned-sans-symbole-dd |
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results: [] |
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--- |
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You |
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should probably proofread and complete it, then remove this comment. --> |
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# camembert-base-finetuned-sans-symbole-dd |
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This model is a fine-tuned version of [camembert-base](https://huggingface.co/camembert-base) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.2642 |
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- Precision: 0.8856 |
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- Recall: 0.9176 |
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- F1: 0.9013 |
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- Accuracy: 0.9364 |
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## Model description |
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More information needed |
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## Intended uses & limitations |
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More information needed |
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## Training and evaluation data |
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More information needed |
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## Training procedure |
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### Training hyperparameters |
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The following hyperparameters were used during training: |
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- learning_rate: 2e-05 |
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- train_batch_size: 16 |
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- eval_batch_size: 16 |
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- seed: 42 |
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
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- lr_scheduler_type: linear |
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- num_epochs: 4 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 | Accuracy | |
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|:-------------:|:-----:|:-----:|:---------------:|:---------:|:------:|:------:|:--------:| |
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| 0.1961 | 1.0 | 4317 | 0.2216 | 0.8675 | 0.9039 | 0.8853 | 0.9319 | |
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| 0.161 | 2.0 | 8634 | 0.2243 | 0.8614 | 0.9158 | 0.8878 | 0.9237 | |
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| 0.1169 | 3.0 | 12951 | 0.2507 | 0.8752 | 0.9154 | 0.8949 | 0.9329 | |
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| 0.0875 | 4.0 | 17268 | 0.2642 | 0.8856 | 0.9176 | 0.9013 | 0.9364 | |
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### Framework versions |
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- Transformers 4.21.1 |
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- Pytorch 1.12.1+cu113 |
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- Datasets 2.4.0 |
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- Tokenizers 0.12.1 |
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