| --- |
| library_name: transformers |
| license: apache-2.0 |
| base_model: distilbert-base-multilingual-cased |
| tags: |
| - generated_from_trainer |
| metrics: |
| - accuracy |
| - f1 |
| model-index: |
| - name: sentiment-fr-allocine |
| results: [] |
| --- |
| |
| <!-- This model card has been generated automatically according to the information the Trainer had access to. You |
| should probably proofread and complete it, then remove this comment. --> |
|
|
| # sentiment-fr-allocine |
|
|
| This model is a fine-tuned version of [distilbert-base-multilingual-cased](https://huggingface.co/distilbert-base-multilingual-cased) on an unknown dataset. |
| It achieves the following results on the evaluation set: |
| - Loss: 0.2619 |
| - Accuracy: 0.8884 |
| - F1: 0.8882 |
|
|
| ## 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: |
| - learning_rate: 2e-05 |
| - train_batch_size: 8 |
| - eval_batch_size: 8 |
| - seed: 42 |
| - gradient_accumulation_steps: 4 |
| - total_train_batch_size: 32 |
| - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
| - lr_scheduler_type: linear |
| - training_steps: 1000 |
| |
| ### Training results |
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| |
| ### Framework versions |
| |
| - Transformers 4.44.2 |
| - Pytorch 2.3.1+cu121 |
| - Datasets 3.0.1 |
| - Tokenizers 0.19.1 |
| |
