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update model card README.md
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README.md
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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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model-index:
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- name: camembert_base_finetunned_one_thema_balanced_7_epochs
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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_finetunned_one_thema_balanced_7_epochs
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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: 1.6875
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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: 5e-05
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- train_batch_size: 8
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- eval_batch_size: 8
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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: 7
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### Training results
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| Training Loss | Epoch | Step | Validation Loss |
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|:-------------:|:-----:|:----:|:---------------:|
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| No log | 1.0 | 116 | 2.2337 |
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| No log | 2.0 | 232 | 1.9735 |
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| No log | 3.0 | 348 | 1.7970 |
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| No log | 4.0 | 464 | 1.7619 |
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| 1.8895 | 5.0 | 580 | 1.7071 |
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| 1.8895 | 6.0 | 696 | 1.6754 |
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| 1.8895 | 7.0 | 812 | 1.6875 |
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### Framework versions
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- Transformers 4.29.2
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- Pytorch 2.0.1+cu117
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- Datasets 2.12.0
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- Tokenizers 0.13.3
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