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trainer_projet7
This model is a fine-tuned version of bert-base-cased on the None dataset. It achieves the following results on the evaluation set:
- Loss: 1.1043
- F1: 0.7925
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: 5e-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 5
Training results
| Training Loss | Epoch | Step | Validation Loss | F1 |
|---|---|---|---|---|
| 0.5308 | 1.0 | 1250 | 0.5392 | 0.7407 |
| 0.4013 | 2.0 | 2500 | 0.5143 | 0.8030 |
| 0.2939 | 3.0 | 3750 | 0.7563 | 0.8022 |
| 0.188 | 4.0 | 5000 | 0.9005 | 0.7924 |
| 0.0824 | 5.0 | 6250 | 1.1043 | 0.7925 |
Framework versions
- Transformers 4.33.3
- Pytorch 2.0.1+cu118
- Datasets 2.14.5
- Tokenizers 0.13.3
