FAT5_small_NER_FIRE-512
This model is a fine-tuned version of CATIE-AQ/FAT5-small-UL2-fr-FIRE-512 on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.0693
- Precision: 0.9809
- Recall: 0.9809
- F1: 0.9809
- Accuracy: 0.9809
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: 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: 3
Training results
Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 | Accuracy |
---|---|---|---|---|---|---|---|
0.0428 | 1.0 | 41095 | 0.0639 | 0.9790 | 0.9790 | 0.9790 | 0.9790 |
0.0282 | 2.0 | 82190 | 0.0602 | 0.9809 | 0.9809 | 0.9809 | 0.9809 |
0.0122 | 3.0 | 123285 | 0.0693 | 0.9809 | 0.9809 | 0.9809 | 0.9809 |
Framework versions
- Transformers 4.38.2
- Pytorch 2.2.1
- Datasets 2.16.1
- Tokenizers 0.15.2
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