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mt5-small-finetuned-amazon-en-es
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: 3.0283
- Rouge1: 17.6736
- Rouge2: 8.5399
- Rougel: 17.4107
- Rougelsum: 17.3637
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: 8
Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum |
|---|---|---|---|---|---|---|---|
| 3.7032 | 1.0 | 1209 | 3.1958 | 16.1227 | 7.4852 | 15.2662 | 15.3552 |
| 3.6502 | 2.0 | 2418 | 3.1103 | 17.2284 | 8.1626 | 16.757 | 16.6583 |
| 3.4365 | 3.0 | 3627 | 3.0698 | 17.2326 | 8.7096 | 17.0961 | 16.9705 |
| 3.312 | 4.0 | 4836 | 3.0324 | 16.9472 | 8.1386 | 16.6025 | 16.6126 |
| 3.2343 | 5.0 | 6045 | 3.0385 | 17.8752 | 8.0578 | 17.4985 | 17.5298 |
| 3.1661 | 6.0 | 7254 | 3.0334 | 17.8822 | 8.5243 | 17.5825 | 17.5242 |
| 3.1305 | 7.0 | 8463 | 3.0289 | 17.8187 | 8.124 | 17.4815 | 17.4688 |
| 3.1039 | 8.0 | 9672 | 3.0283 | 17.6736 | 8.5399 | 17.4107 | 17.3637 |
Framework versions
- Transformers 4.22.2
- Pytorch 1.12.1+cu102
- Datasets 2.5.2
- Tokenizers 0.12.1
