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closed-book-19-06-2023
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: 3.3172
- Rouge1: 0.1403
- Rouge2: 0.039
- Rougel: 0.117
- Rougelsum: 0.117
- Gen Len: 17.9153
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: 2
- eval_batch_size: 2
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3
Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
|---|---|---|---|---|---|---|---|---|
| 4.3252 | 1.0 | 5736 | 3.4360 | 0.136 | 0.0339 | 0.114 | 0.1139 | 17.5869 |
| 4.0744 | 2.0 | 11472 | 3.3393 | 0.1404 | 0.038 | 0.117 | 0.1169 | 17.971 |
| 4.0149 | 3.0 | 17208 | 3.3172 | 0.1403 | 0.039 | 0.117 | 0.117 | 17.9153 |
Framework versions
- Transformers 4.28.0
- Pytorch 2.0.1+cu118
- Datasets 2.13.0
- Tokenizers 0.13.3
