lr_3e-05_batch_4_epoch_5_model
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: 3.3894
- Rouge-1: 23.1328
- Rouge-2: 8.2792
- Rouge-l: 20.6918
- Gen Len: 17.5857
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: 3e-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: 5
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge-1 | Rouge-2 | Rouge-l | Gen Len |
|---|---|---|---|---|---|---|---|
| 4.3664 | 1.0 | 2714 | 3.6755 | 20.4397 | 7.1141 | 18.5425 | 15.2485 |
| 4.045 | 2.0 | 5428 | 3.5179 | 21.7301 | 7.5448 | 19.5604 | 17.0885 |
| 3.9873 | 3.0 | 8142 | 3.4348 | 22.7243 | 8.0561 | 20.314 | 17.2721 |
| 3.8907 | 4.0 | 10856 | 3.4019 | 22.9219 | 8.1905 | 20.5067 | 17.4083 |
| 3.7785 | 5.0 | 13570 | 3.3894 | 23.1328 | 8.2792 | 20.6918 | 17.5857 |
Framework versions
- Transformers 4.44.2
- Pytorch 2.1.0
- Datasets 2.21.0
- Tokenizers 0.19.1
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Base model
google/mt5-small