lr_3e-06_batch_4_epoch_3_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: 4.2864
- Rouge-1: 17.4487
- Rouge-2: 5.3286
- Rouge-l: 15.6611
- Gen Len: 17.1136
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-06
- 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: 3
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge-1 | Rouge-2 | Rouge-l | Gen Len |
|---|---|---|---|---|---|---|---|
| 6.8135 | 1.0 | 2714 | 4.6911 | 15.0067 | 4.0769 | 13.5509 | 18.9416 |
| 5.8576 | 2.0 | 5428 | 4.3847 | 17.1486 | 5.1142 | 15.3434 | 17.8007 |
| 5.7513 | 3.0 | 8142 | 4.2864 | 17.4487 | 5.3286 | 15.6611 | 17.1136 |
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