heBERT-finetuned-samaritan
This model is a fine-tuned version of avichr/heBERT on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 4.0412
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: 64
- eval_batch_size: 64
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 4.875 | 1.0 | 118 | 4.5078 |
| 4.5415 | 2.0 | 236 | 4.4287 |
| 4.3991 | 3.0 | 354 | 4.2731 |
| 4.3072 | 4.0 | 472 | 4.2191 |
| 4.2421 | 5.0 | 590 | 4.1209 |
| 4.2013 | 6.0 | 708 | 4.0951 |
| 4.1624 | 7.0 | 826 | 4.0689 |
| 4.1062 | 8.0 | 944 | 4.0910 |
| 4.1 | 9.0 | 1062 | 4.0374 |
| 4.0738 | 10.0 | 1180 | 4.0750 |
Framework versions
- Transformers 4.40.1
- Pytorch 2.3.0+cu121
- Datasets 2.19.0
- Tokenizers 0.19.1
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Base model
avichr/heBERT