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bart_base_qgen
This model is a fine-tuned version of facebook/bart-base on the learn3r/squad_with_test dataset. It achieves the following results on the evaluation set:
- Loss: 1.4211
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: 32
- eval_batch_size: 32
- seed: 42
- gradient_accumulation_steps: 16
- total_train_batch_size: 512
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10.0
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 1.7237 | 1.0 | 171 | 1.5064 |
| 1.5995 | 2.0 | 342 | 1.4698 |
| 1.5289 | 3.0 | 513 | 1.4482 |
| 1.5082 | 4.0 | 684 | 1.4363 |
| 1.4782 | 5.0 | 855 | 1.4286 |
| 1.4084 | 6.0 | 1026 | 1.4265 |
| 1.4229 | 6.99 | 1197 | 1.4239 |
| 1.4 | 8.0 | 1369 | 1.4211 |
| 1.3865 | 9.0 | 1540 | 1.4215 |
| 1.3871 | 9.99 | 1710 | 1.4219 |
Framework versions
- Transformers 4.32.0.dev0
- Pytorch 1.13.0+cu117
- Datasets 2.8.0
- Tokenizers 0.12.1
