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amsterdam_100bm25_passages
This model is a fine-tuned version of google/mt5-small on the None dataset. It achieves the following results on the evaluation set:
- Loss: 5.5628
- Rouge1: 0.1219
- Rouge2: 0.0255
- Rougel: 0.1106
- Rougelsum: 0.1112
- Gen Len: 19.0
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: 1
- eval_batch_size: 1
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10
Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
|---|---|---|---|---|---|---|---|---|
| No log | 1.0 | 58 | 19.3812 | 0.0 | 0.0 | 0.0 | 0.0 | 4.0 |
| No log | 2.0 | 116 | 16.2740 | 0.0053 | 0.0 | 0.0053 | 0.0053 | 4.4667 |
| No log | 3.0 | 174 | 14.9688 | 0.0197 | 0.0042 | 0.0198 | 0.0199 | 5.6667 |
| No log | 4.0 | 232 | 11.6524 | 0.02 | 0.0073 | 0.0177 | 0.018 | 6.6667 |
| No log | 5.0 | 290 | 9.4875 | 0.0255 | 0.0073 | 0.0226 | 0.0231 | 7.8667 |
| No log | 6.0 | 348 | 8.0678 | 0.0503 | 0.0136 | 0.0493 | 0.049 | 10.6 |
| No log | 7.0 | 406 | 6.4898 | 0.0976 | 0.0167 | 0.0858 | 0.0866 | 14.9333 |
| No log | 8.0 | 464 | 6.0317 | 0.113 | 0.0232 | 0.0995 | 0.1001 | 18.9333 |
| 13.519 | 9.0 | 522 | 5.6579 | 0.117 | 0.0238 | 0.1037 | 0.1046 | 19.0 |
| 13.519 | 10.0 | 580 | 5.5628 | 0.1219 | 0.0255 | 0.1106 | 0.1112 | 19.0 |
Framework versions
- Transformers 4.28.0
- Pytorch 2.0.1+cu118
- Datasets 2.12.0
- Tokenizers 0.13.3
