legpeg-sci-ms-tr
This model is a fine-tuned version of aparajitha/legpeg-sci-tr on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 2.1409
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: 2
- eval_batch_size: 2
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 6
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 2.4127 | 1.0 | 1092 | 2.2359 |
| 2.2874 | 2.0 | 2184 | 2.1879 |
| 2.2442 | 3.0 | 3276 | 2.1628 |
| 2.165 | 4.0 | 4368 | 2.1498 |
| 2.1295 | 5.0 | 5460 | 2.1422 |
| 2.106 | 6.0 | 6552 | 2.1409 |
Framework versions
- Transformers 4.44.2
- Pytorch 2.3.1.post300
- Datasets 2.19.1
- Tokenizers 0.19.1
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