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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 |
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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 |
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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: 0.6969 |
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- Accuracy: 0.775 |
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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: 30 |
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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 | 2.0733 | 0.2 | |
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| No log | 2.0 | 10 | 2.0478 | 0.275 | |
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| No log | 3.0 | 15 | 1.9161 | 0.45 | |
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| No log | 4.0 | 20 | 1.7607 | 0.425 | |
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| No log | 5.0 | 25 | 1.5895 | 0.575 | |
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| No log | 6.0 | 30 | 1.4201 | 0.625 | |
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| No log | 7.0 | 35 | 1.2944 | 0.675 | |
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| No log | 8.0 | 40 | 1.2193 | 0.75 | |
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| No log | 9.0 | 45 | 1.0974 | 0.775 | |
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| No log | 10.0 | 50 | 1.0429 | 0.825 | |
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| No log | 11.0 | 55 | 0.9602 | 0.8 | |
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| No log | 12.0 | 60 | 0.9059 | 0.8 | |
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| No log | 13.0 | 65 | 0.8365 | 0.825 | |
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| No log | 14.0 | 70 | 0.9396 | 0.725 | |
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| No log | 15.0 | 75 | 0.8271 | 0.8 | |
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| No log | 16.0 | 80 | 0.7762 | 0.8 | |
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| No log | 17.0 | 85 | 0.7847 | 0.8 | |
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| No log | 18.0 | 90 | 0.7012 | 0.8 | |
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| No log | 19.0 | 95 | 0.6971 | 0.8 | |
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| No log | 20.0 | 100 | 0.7186 | 0.775 | |
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| No log | 21.0 | 105 | 0.7946 | 0.725 | |
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| No log | 22.0 | 110 | 0.7721 | 0.725 | |
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| No log | 23.0 | 115 | 0.7642 | 0.725 | |
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| No log | 24.0 | 120 | 0.7298 | 0.75 | |
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| No log | 25.0 | 125 | 0.7191 | 0.75 | |
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| No log | 26.0 | 130 | 0.6978 | 0.775 | |
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| No log | 27.0 | 135 | 0.6913 | 0.8 | |
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| No log | 28.0 | 140 | 0.6949 | 0.775 | |
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| No log | 29.0 | 145 | 0.6961 | 0.775 | |
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| No log | 30.0 | 150 | 0.6969 | 0.775 | |
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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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