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: 3.0349
- Rouge1: 17.1191
- Rouge2: 8.4119
- Rougel: 16.6388
- Rougelsum: 16.6017
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 |
|---|---|---|---|---|---|---|---|
| 7.3401 | 1.0 | 1209 | 3.3465 | 14.1778 | 6.284 | 13.8905 | 13.8872 |
| 3.9195 | 2.0 | 2418 | 3.1859 | 15.9786 | 8.1666 | 15.3933 | 15.3693 |
| 3.5975 | 3.0 | 3627 | 3.0945 | 17.5518 | 9.134 | 16.9215 | 16.8899 |
| 3.4241 | 4.0 | 4836 | 3.0913 | 16.3875 | 7.6999 | 15.8311 | 15.8004 |
| 3.3252 | 5.0 | 6045 | 3.0588 | 16.6777 | 8.1639 | 16.1058 | 16.1357 |
| 3.2442 | 6.0 | 7254 | 3.0444 | 17.141 | 8.4204 | 16.6366 | 16.6896 |
| 3.2149 | 7.0 | 8463 | 3.0355 | 17.3266 | 8.7249 | 16.9438 | 16.9154 |
| 3.184 | 8.0 | 9672 | 3.0349 | 17.1191 | 8.4119 | 16.6388 | 16.6017 |
Framework versions
- Transformers 4.33.3
- Pytorch 2.0.1+cu118
- Datasets 2.14.5
- Tokenizers 0.13.3
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Base model
google/mt5-small