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mc-bart-base-mqa-fine-tune
This model is a fine-tuned version of facebook/bart-base on the squad dataset. It achieves the following results on the evaluation set:
- Loss: 0.8651
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: 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: 1.8
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.6673 | 0.59 | 10000 | 0.8870 |
| 0.6969 | 1.18 | 20000 | 0.8651 |
| 0.6298 | 1.77 | 30000 | 0.8651 |
Framework versions
- Transformers 4.20.1
- Pytorch 1.11.0
- Datasets 2.1.0
- Tokenizers 0.12.1
