td3_nlp
This model is a fine-tuned version of almanach/camembert-base on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.0257
- Precision: 0.0
- Recall: 0.0
- F1: 0.0
- Accuracy: 0.9981
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: 2e-05
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 4
Training results
| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 | Accuracy |
|---|---|---|---|---|---|---|---|
| No log | 1.0 | 160 | 0.0477 | 0.0 | 0.0 | 0.0 | 0.9969 |
| No log | 2.0 | 320 | 0.0317 | 0.0 | 0.0 | 0.0 | 0.9981 |
| No log | 3.0 | 480 | 0.0270 | 0.0 | 0.0 | 0.0 | 0.9980 |
| 0.0879 | 4.0 | 640 | 0.0257 | 0.0 | 0.0 | 0.0 | 0.9981 |
Framework versions
- Transformers 4.44.2
- Pytorch 2.5.0+cu121
- Tokenizers 0.19.1
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Model tree for sarahlolo/td3_nlp
Base model
almanach/camembert-base