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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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datasets: |
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- pawsx |
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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: camembert-base-finetuned-paraphrase |
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results: |
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- task: |
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name: Text Classification |
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type: text-classification |
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dataset: |
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name: pawsx |
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type: pawsx |
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args: fr |
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metrics: |
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- name: Accuracy |
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type: accuracy |
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value: 0.9085 |
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- name: F1 |
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type: f1 |
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value: 0.9088724090678741 |
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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-paraphrase |
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This model is a fine-tuned version of [camembert-base](https://huggingface.co/camembert-base) on the pawsx dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.2708 |
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- Accuracy: 0.9085 |
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- F1: 0.9089 |
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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: 64 |
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- eval_batch_size: 64 |
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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 | Accuracy | F1 | |
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|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:| |
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| 0.3918 | 1.0 | 772 | 0.3211 | 0.869 | 0.8696 | |
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| 0.2103 | 2.0 | 1544 | 0.2448 | 0.9075 | 0.9077 | |
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| 0.1622 | 3.0 | 2316 | 0.2577 | 0.9055 | 0.9059 | |
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| 0.1344 | 4.0 | 3088 | 0.2708 | 0.9085 | 0.9089 | |
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### Framework versions |
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- Transformers 4.19.3 |
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- Pytorch 1.11.0+cu113 |
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- Datasets 2.2.2 |
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- Tokenizers 0.12.1 |
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