BART_HYDROGEN_GENERATION_QA
This model is a fine-tuned version of vblagoje/bart_lfqa on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.5046
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: 1e-05
- train_batch_size: 4
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 8
- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: cosine
- num_epochs: 8
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 1.2697 | 0.2092 | 100 | 0.5574 |
| 1.0628 | 0.4184 | 200 | 0.5151 |
| 1.0037 | 0.6276 | 300 | 0.5066 |
| 0.9652 | 0.8368 | 400 | 0.4842 |
| 0.9284 | 1.0460 | 500 | 0.4974 |
| 0.8272 | 1.2552 | 600 | 0.5046 |
Framework versions
- Transformers 4.46.0
- Pytorch 2.5.0+cu121
- Datasets 3.0.2
- Tokenizers 0.20.1
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Base model
vblagoje/bart_lfqa