result
This model is a fine-tuned version of camembert-base on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.0181
- Precision: 0.0
- Recall: 0.0
- F1: 0.0
- Accuracy: 0.9960
Model description
More information needed
Intended uses & limitations
More information needed
Training and evaluation data
More information needed
Training procedure
Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 0.00025
- train_batch_size: 32
- eval_batch_size: 32
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 20
Training results
| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 | Accuracy |
|---|---|---|---|---|---|---|---|
| No log | 1.0 | 25 | 0.0900 | 0.0 | 0.0 | 0.0 | 0.9818 |
| No log | 2.0 | 50 | 0.0557 | 0.0 | 0.0 | 0.0 | 0.9822 |
| No log | 3.0 | 75 | 0.0546 | 0.0 | 0.0 | 0.0 | 0.9889 |
| No log | 4.0 | 100 | 0.0287 | 0.0 | 0.0 | 0.0 | 0.9945 |
| No log | 5.0 | 125 | 0.0240 | 0.0 | 0.0 | 0.0 | 0.9941 |
| No log | 6.0 | 150 | 0.0179 | 0.0 | 0.0 | 0.0 | 0.9956 |
| No log | 7.0 | 175 | 0.0163 | 0.0 | 0.0 | 0.0 | 0.9964 |
| No log | 8.0 | 200 | 0.0189 | 0.0 | 0.0 | 0.0 | 0.9952 |
| No log | 9.0 | 225 | 0.0169 | 0.0 | 0.0 | 0.0 | 0.9960 |
| No log | 10.0 | 250 | 0.0145 | 0.0 | 0.0 | 0.0 | 0.9968 |
| No log | 11.0 | 275 | 0.0164 | 0.0 | 0.0 | 0.0 | 0.9964 |
| No log | 12.0 | 300 | 0.0153 | 0.0 | 0.0 | 0.0 | 0.9964 |
| No log | 13.0 | 325 | 0.0153 | 0.0 | 0.0 | 0.0 | 0.9964 |
| No log | 14.0 | 350 | 0.0161 | 0.0 | 0.0 | 0.0 | 0.9964 |
| No log | 15.0 | 375 | 0.0164 | 0.0 | 0.0 | 0.0 | 0.9964 |
| No log | 16.0 | 400 | 0.0166 | 0.0 | 0.0 | 0.0 | 0.9964 |
| No log | 17.0 | 425 | 0.0161 | 0.0 | 0.0 | 0.0 | 0.9964 |
| No log | 18.0 | 450 | 0.0166 | 0.0 | 0.0 | 0.0 | 0.9956 |
| No log | 19.0 | 475 | 0.0182 | 0.0 | 0.0 | 0.0 | 0.9960 |
| 0.0262 | 20.0 | 500 | 0.0181 | 0.0 | 0.0 | 0.0 | 0.9960 |
Framework versions
- Transformers 4.35.2
- Pytorch 2.1.0+cu121
- Datasets 2.16.1
- Tokenizers 0.15.0
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Base model
almanach/camembert-base