mbart-large-50-bcoqa
This model is a fine-tuned version of facebook/mbart-large-50 on the None dataset. It achieves the following results on the evaluation set:
- Loss: 1.0137
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
- num_epochs: 2
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 1.8791 | 0.1 | 3500 | 1.7917 |
| 1.579 | 0.2 | 7000 | 1.4741 |
| 1.4918 | 0.3 | 10500 | 1.4246 |
| 1.422 | 0.4 | 14000 | 1.3369 |
| 1.4088 | 0.5 | 17500 | 1.3064 |
| 1.3245 | 0.61 | 21000 | 1.2566 |
| 1.3205 | 0.71 | 24500 | 1.2274 |
| 1.3168 | 0.81 | 28000 | 1.2052 |
| 1.2256 | 0.91 | 31500 | 1.1630 |
| 1.0668 | 1.01 | 35000 | 1.1543 |
| 1.0185 | 1.11 | 38500 | 1.1391 |
| 0.9521 | 1.21 | 42000 | 1.1076 |
| 0.9467 | 1.31 | 45500 | 1.1316 |
| 1.0128 | 1.41 | 49000 | 1.0849 |
| 0.9948 | 1.51 | 52500 | 1.0619 |
| 0.9601 | 1.61 | 56000 | 1.0489 |
| 0.9479 | 1.72 | 59500 | 1.0353 |
| 0.9046 | 1.82 | 63000 | 1.0212 |
| 0.8924 | 1.92 | 66500 | 1.0137 |
Framework versions
- Transformers 4.39.0.dev0
- Pytorch 2.2.1+cu121
- Datasets 2.16.1
- Tokenizers 0.15.1
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