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mt5-small-test-amazon
This model is a fine-tuned version of google/mt5-small on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 1.9515
- Rouge1: 30.3066
- Rouge2: 3.3019
- Rougel: 30.1887
- Rougelsum: 30.0314
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 |
|---|---|---|---|---|---|---|---|
| 10.0147 | 1.0 | 1004 | 2.9904 | 7.3703 | 0.2358 | 7.3703 | 7.4292 |
| 3.4892 | 2.0 | 2008 | 2.4061 | 23.4178 | 2.4764 | 23.2901 | 23.3097 |
| 2.724 | 3.0 | 3012 | 2.1630 | 26.6706 | 2.8302 | 26.6509 | 26.5723 |
| 2.4395 | 4.0 | 4016 | 2.0815 | 26.7296 | 2.9481 | 26.6313 | 26.533 |
| 2.2881 | 5.0 | 5020 | 2.0048 | 30.1887 | 3.3019 | 30.0708 | 29.9135 |
| 2.1946 | 6.0 | 6024 | 1.9712 | 29.4811 | 2.9481 | 29.4025 | 29.3042 |
| 2.1458 | 7.0 | 7028 | 1.9545 | 29.8153 | 3.3019 | 29.717 | 29.5204 |
| 2.1069 | 8.0 | 8032 | 1.9515 | 30.3066 | 3.3019 | 30.1887 | 30.0314 |
Framework versions
- Transformers 4.20.0
- Pytorch 1.11.0+cu113
- Datasets 2.3.2
- Tokenizers 0.12.1
