results_ft
This model is a fine-tuned version of numind/NuNER-multilingual-v0.1 on the None dataset. It achieves the following results on the evaluation set:
- Loss: 3.9210
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: 3e-05
- train_batch_size: 256
- eval_batch_size: 16
- seed: 42
- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 5
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 5.6894 | 0.7722 | 200 | 4.7225 |
| 4.5865 | 1.5444 | 400 | 4.2592 |
| 4.2805 | 2.3166 | 600 | 4.0258 |
| 4.1225 | 3.0888 | 800 | 3.9174 |
| 4.0076 | 3.8610 | 1000 | 3.8221 |
| 3.927 | 4.6332 | 1200 | 3.7799 |
Framework versions
- Transformers 4.52.4
- Pytorch 2.6.0+cu124
- Datasets 3.6.0
- Tokenizers 0.21.2
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