plbartAssert-nodocnew-v2
This model is a fine-tuned version of Patcas/my_awesome-assert-new on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.9135
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: 1
- eval_batch_size: 1
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| No log | 1.0 | 230 | 1.1627 |
| No log | 2.0 | 460 | 1.0069 |
| 1.4203 | 3.0 | 690 | 0.9322 |
| 1.4203 | 4.0 | 920 | 0.9037 |
| 0.4803 | 5.0 | 1150 | 0.9149 |
| 0.4803 | 6.0 | 1380 | 0.9038 |
| 0.2537 | 7.0 | 1610 | 0.9055 |
| 0.2537 | 8.0 | 1840 | 0.9082 |
| 0.16 | 9.0 | 2070 | 0.9108 |
| 0.16 | 10.0 | 2300 | 0.9135 |
Framework versions
- Transformers 4.35.2
- Pytorch 2.1.0+cu121
- Datasets 2.16.1
- Tokenizers 0.15.1
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