<!-- This model card has been generated automatically according to the information the Trainer had access to. You should probably proofread and complete it, then remove this comment. -->
mt5-small-finetuned-14feb-9
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: 2.3688
- Rouge1: 19.51
- Rouge2: 6.13
- Rougel: 19.33
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: 0.0001
- train_batch_size: 10
- eval_batch_size: 10
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 15
Training results
Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel |
---|---|---|---|---|---|---|
5.1754 | 1.0 | 311 | 2.6631 | 14.74 | 4.65 | 14.58 |
3.3235 | 2.0 | 622 | 2.5226 | 16.71 | 5.39 | 16.6 |
3.0994 | 3.0 | 933 | 2.4776 | 16.71 | 4.96 | 16.5 |
2.9608 | 4.0 | 1244 | 2.4551 | 17.92 | 5.15 | 17.7 |
2.8595 | 5.0 | 1555 | 2.4158 | 18.67 | 5.34 | 18.32 |
2.7933 | 6.0 | 1866 | 2.4059 | 18.35 | 5.33 | 18.14 |
2.7253 | 7.0 | 2177 | 2.4008 | 18.16 | 5.22 | 18.03 |
2.681 | 8.0 | 2488 | 2.3924 | 18.85 | 5.6 | 18.61 |
2.6286 | 9.0 | 2799 | 2.3811 | 18.99 | 5.44 | 18.8 |
2.6005 | 10.0 | 3110 | 2.3869 | 19.16 | 5.49 | 18.96 |
2.5682 | 11.0 | 3421 | 2.3796 | 19.59 | 5.7 | 19.27 |
2.546 | 12.0 | 3732 | 2.3623 | 18.75 | 5.78 | 18.56 |
2.5351 | 13.0 | 4043 | 2.3676 | 19.02 | 5.65 | 18.74 |
2.529 | 14.0 | 4354 | 2.3626 | 19.39 | 5.99 | 19.05 |
2.4941 | 15.0 | 4665 | 2.3688 | 19.51 | 6.13 | 19.33 |
Framework versions
- Transformers 4.26.1
- Pytorch 1.13.1+cu116
- Datasets 2.9.0
- Tokenizers 0.13.2