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Abhi_mt5-small_v1
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: 5.7900
- Rouge1: 7.0558
- Rouge2: 0.0
- Rougel: 6.992
- Rougelsum: 7.1212
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: 10
Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum |
|---|---|---|---|---|---|---|---|
| 22.775 | 1.0 | 11 | 8.6160 | 6.8571 | 0.0 | 6.7143 | 7.0336 |
| 14.9187 | 2.0 | 22 | 7.6936 | 6.5 | 0.0 | 6.1765 | 6.6765 |
| 16.1045 | 3.0 | 33 | 7.4191 | 7.1667 | 0.0 | 7.0196 | 7.2696 |
| 12.8363 | 4.0 | 44 | 6.9229 | 8.9467 | 0.0 | 8.872 | 9.0752 |
| 11.9989 | 5.0 | 55 | 6.7268 | 9.174 | 0.0 | 9.1046 | 9.3757 |
| 11.2745 | 6.0 | 66 | 6.4987 | 7.0558 | 0.0 | 6.992 | 7.1212 |
| 11.7085 | 7.0 | 77 | 6.2089 | 7.0558 | 0.0 | 6.992 | 7.1212 |
| 10.6682 | 8.0 | 88 | 6.0491 | 7.0558 | 0.0 | 6.992 | 7.1212 |
| 9.9553 | 9.0 | 99 | 5.7979 | 7.0558 | 0.0 | 6.992 | 7.1212 |
| 11.127 | 10.0 | 110 | 5.7900 | 7.0558 | 0.0 | 6.992 | 7.1212 |
Framework versions
- Transformers 4.26.1
- Pytorch 1.13.1+cu116
- Datasets 2.10.1
- Tokenizers 0.13.2
