test_1
This model is a fine-tuned version of facebook/bart-base on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.4313
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: 5e-05
- train_batch_size: 4
- eval_batch_size: 4
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- num_epochs: 3
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 1.2092 | 0.46 | 500 | 0.6713 |
| 0.7295 | 0.91 | 1000 | 0.5501 |
| 0.5551 | 1.37 | 1500 | 0.4963 |
| 0.496 | 1.82 | 2000 | 0.4647 |
| 0.4156 | 2.28 | 2500 | 0.4533 |
| 0.3514 | 2.73 | 3000 | 0.4313 |
Framework versions
- Transformers 4.37.2
- Pytorch 2.1.2+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2
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Model tree for gayanin/test_1
Base model
facebook/bart-base