mt5-small-finetuned-b8-10-local
This model is a fine-tuned version of google/mt5-small on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 3.5178
- Rouge-1: 22.6249
- Rouge-2: 7.9752
- Rouge-l: 20.3546
- Gen Len: 17.0843
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
- gradient_accumulation_steps: 16
- total_train_batch_size: 16
- optimizer: Adafactor
- lr_scheduler_type: linear
- num_epochs: 10
Training results
| Training Loss | Epoch | Step | Gen Len | Validation Loss | Rouge-1 | Rouge-2 | Rouge-l |
|---|---|---|---|---|---|---|---|
| 5.111 | 1.0 | 1356 | 12.3837 | 4.0081 | 18.105 | 6.0904 | 16.8637 |
| 4.5548 | 2.0 | 2712 | 3.8803 | 19.8119 | 6.9894 | 18.2397 | 14.1547 |
| 4.3667 | 3.0 | 4069 | 3.7301 | 21.0826 | 7.3597 | 19.1813 | 16.1043 |
| 4.1807 | 4.0 | 5426 | 3.6560 | 21.6212 | 7.5877 | 19.5831 | 16.7592 |
| 4.1524 | 5.0 | 6783 | 3.5911 | 22.0587 | 7.6506 | 19.9304 | 16.7987 |
| 4.1061 | 6.0 | 8140 | 3.5603 | 22.1661 | 7.7772 | 19.9915 | 16.8959 |
| 4.0028 | 7.0 | 9497 | 3.5431 | 22.6005 | 7.9698 | 20.3279 | 16.9174 |
| 3.9558 | 8.0 | 10854 | 3.5305 | 22.6074 | 7.9613 | 20.3267 | 17.0914 |
| 3.9647 | 9.0 | 12211 | 3.5207 | 22.5858 | 7.947 | 20.2764 | 17.0981 |
| 4.0044 | 9.99 | 13560 | 3.5178 | 22.6249 | 7.9752 | 20.3546 | 17.0843 |
Framework versions
- Transformers 4.34.0
- Pytorch 1.13.1+cu116
- Datasets 2.14.5
- Tokenizers 0.14.1