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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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- precision |
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- recall |
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- f1 |
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- accuracy |
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model-index: |
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- name: result |
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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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# result |
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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: 0.0181 |
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- Precision: 0.0 |
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- Recall: 0.0 |
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- F1: 0.0 |
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- Accuracy: 0.9960 |
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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: 0.00025 |
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- train_batch_size: 32 |
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- eval_batch_size: 32 |
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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: 20 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 | Accuracy | |
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|:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:---:|:--------:| |
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| No log | 1.0 | 25 | 0.0900 | 0.0 | 0.0 | 0.0 | 0.9818 | |
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| No log | 2.0 | 50 | 0.0557 | 0.0 | 0.0 | 0.0 | 0.9822 | |
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| No log | 3.0 | 75 | 0.0546 | 0.0 | 0.0 | 0.0 | 0.9889 | |
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| No log | 4.0 | 100 | 0.0287 | 0.0 | 0.0 | 0.0 | 0.9945 | |
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| No log | 5.0 | 125 | 0.0240 | 0.0 | 0.0 | 0.0 | 0.9941 | |
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| No log | 6.0 | 150 | 0.0179 | 0.0 | 0.0 | 0.0 | 0.9956 | |
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| No log | 7.0 | 175 | 0.0163 | 0.0 | 0.0 | 0.0 | 0.9964 | |
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| No log | 8.0 | 200 | 0.0189 | 0.0 | 0.0 | 0.0 | 0.9952 | |
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| No log | 9.0 | 225 | 0.0169 | 0.0 | 0.0 | 0.0 | 0.9960 | |
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| No log | 10.0 | 250 | 0.0145 | 0.0 | 0.0 | 0.0 | 0.9968 | |
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| No log | 11.0 | 275 | 0.0164 | 0.0 | 0.0 | 0.0 | 0.9964 | |
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| No log | 12.0 | 300 | 0.0153 | 0.0 | 0.0 | 0.0 | 0.9964 | |
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| No log | 13.0 | 325 | 0.0153 | 0.0 | 0.0 | 0.0 | 0.9964 | |
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| No log | 14.0 | 350 | 0.0161 | 0.0 | 0.0 | 0.0 | 0.9964 | |
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| No log | 15.0 | 375 | 0.0164 | 0.0 | 0.0 | 0.0 | 0.9964 | |
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| No log | 16.0 | 400 | 0.0166 | 0.0 | 0.0 | 0.0 | 0.9964 | |
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| No log | 17.0 | 425 | 0.0161 | 0.0 | 0.0 | 0.0 | 0.9964 | |
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| No log | 18.0 | 450 | 0.0166 | 0.0 | 0.0 | 0.0 | 0.9956 | |
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| No log | 19.0 | 475 | 0.0182 | 0.0 | 0.0 | 0.0 | 0.9960 | |
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| 0.0262 | 20.0 | 500 | 0.0181 | 0.0 | 0.0 | 0.0 | 0.9960 | |
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### Framework versions |
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- Transformers 4.35.2 |
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- Pytorch 2.1.0+cu121 |
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- Datasets 2.16.1 |
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- Tokenizers 0.15.0 |
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