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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: 3.0171
- Rouge1: 16.778
- Rouge2: 8.0849
- Rougel: 16.5329
- Rougelsum: 16.4302
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 |
|---|---|---|---|---|---|---|---|
| 3.4297 | 1.0 | 1209 | 3.1211 | 17.6479 | 8.1669 | 17.1554 | 17.0276 |
| 3.4217 | 2.0 | 2418 | 3.0394 | 16.4501 | 8.3991 | 16.2225 | 16.2214 |
| 3.2701 | 3.0 | 3627 | 3.0427 | 16.3473 | 7.5173 | 16.1924 | 16.098 |
| 3.1888 | 4.0 | 4836 | 3.0283 | 15.3718 | 6.8591 | 15.0889 | 14.9769 |
| 3.1204 | 5.0 | 6045 | 3.0256 | 17.5963 | 8.331 | 17.1812 | 17.0733 |
| 3.072 | 6.0 | 7254 | 3.0189 | 16.5811 | 8.1764 | 16.28 | 16.207 |
| 3.0386 | 7.0 | 8463 | 3.0171 | 17.1018 | 8.4785 | 16.8196 | 16.7681 |
| 3.0193 | 8.0 | 9672 | 3.0171 | 16.778 | 8.0849 | 16.5329 | 16.4302 |
Framework versions
- Transformers 4.21.2
- Pytorch 1.12.1+cu113
- Datasets 2.4.0
- Tokenizers 0.12.1
