work-with-plbart
This model is a fine-tuned version of Patcas/plbart-works on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.7953
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: 16
- eval_batch_size: 16
- 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 | 17 | 0.8711 |
| No log | 2.0 | 34 | 0.8598 |
| No log | 3.0 | 51 | 0.8400 |
| No log | 4.0 | 68 | 0.8216 |
| No log | 5.0 | 85 | 0.8102 |
| No log | 6.0 | 102 | 0.8053 |
| No log | 7.0 | 119 | 0.8000 |
| No log | 8.0 | 136 | 0.7954 |
| No log | 9.0 | 153 | 0.7954 |
| No log | 10.0 | 170 | 0.7953 |
Framework versions
- Transformers 4.35.2
- Pytorch 2.1.0+cu121
- Datasets 2.15.0
- Tokenizers 0.15.0
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Base model
Patcas/plbart-works