<!-- 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-1.0.0
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: 0.8753
- Rouge1: 57.3754
- Rouge2: 52.6902
- Rougel: 56.5013
- Rougelsum: 56.9205
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: 5.6e-05
- train_batch_size: 8
- eval_batch_size: 8
- 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 |
|---|---|---|---|---|---|---|---|
| 7.598 | 1.0 | 339 | 1.1360 | 57.9291 | 52.9851 | 56.8619 | 57.36 |
| 1.6607 | 2.0 | 678 | 0.9274 | 58.4006 | 53.715 | 57.3505 | 57.8747 |
| 1.3212 | 3.0 | 1017 | 0.8753 | 57.3754 | 52.6902 | 56.5013 | 56.9205 |
Framework versions
- Transformers 4.22.1
- Pytorch 1.12.1+cu113
- Datasets 2.5.1
- Tokenizers 0.12.1
