End of training
Browse files- README.md +69 -0
- pytorch_model.bin +1 -1
README.md
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---
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license: mit
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base_model: camembert-base
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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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model-index:
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- name: camembert_classification_tools_fr
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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_classification_tools_fr
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This model is a fine-tuned version of [camembert-base](https://huggingface.co/camembert-base) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 1.1971
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- Accuracy: 0.8
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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: 0.0001
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- train_batch_size: 24
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- eval_batch_size: 192
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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: 10
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Accuracy |
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|:-------------:|:-----:|:----:|:---------------:|:--------:|
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| No log | 1.0 | 5 | 1.9901 | 0.45 |
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| No log | 2.0 | 10 | 1.8450 | 0.525 |
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| No log | 3.0 | 15 | 1.6934 | 0.625 |
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| No log | 4.0 | 20 | 1.5597 | 0.65 |
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| No log | 5.0 | 25 | 1.4364 | 0.775 |
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| No log | 6.0 | 30 | 1.3490 | 0.825 |
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| No log | 7.0 | 35 | 1.2849 | 0.825 |
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| No log | 8.0 | 40 | 1.2342 | 0.85 |
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| No log | 9.0 | 45 | 1.2078 | 0.8 |
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| No log | 10.0 | 50 | 1.1971 | 0.8 |
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### Framework versions
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- Transformers 4.34.0
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- Pytorch 2.0.1+cu117
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- Datasets 2.14.5
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- Tokenizers 0.14.1
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pytorch_model.bin
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version https://git-lfs.github.com/spec/v1
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size 442581361
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version https://git-lfs.github.com/spec/v1
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size 442581361
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