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: 3.0255
- Rouge1: 17.469
- Rouge2: 8.5134
- Rougel: 17.1167
- Rougelsum: 17.2481
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 |
---|---|---|---|---|---|---|---|
8.094 | 1.0 | 1209 | 3.2933 | 12.7976 | 5.1617 | 12.4199 | 12.5113 |
3.9263 | 2.0 | 2418 | 3.1487 | 16.2082 | 8.3215 | 15.744 | 15.807 |
3.599 | 3.0 | 3627 | 3.0789 | 16.9706 | 8.2425 | 16.3972 | 16.4067 |
3.429 | 4.0 | 4836 | 3.0492 | 17.2122 | 8.7398 | 16.7892 | 16.795 |
3.3279 | 5.0 | 6045 | 3.0384 | 17.5381 | 8.7438 | 17.0764 | 17.1831 |
3.2518 | 6.0 | 7254 | 3.0343 | 17.0966 | 8.5622 | 16.7016 | 16.8022 |
3.2084 | 7.0 | 8463 | 3.0255 | 16.7713 | 8.0472 | 16.3159 | 16.4091 |
3.1839 | 8.0 | 9672 | 3.0255 | 17.469 | 8.5134 | 17.1167 | 17.2481 |
Framework versions
- Transformers 4.18.0
- Pytorch 1.10.0+cu111
- Datasets 2.1.0
- Tokenizers 0.12.1
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