lr_5e-05_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: 3.3918
- Rouge-1: 22.9677
- Rouge-2: 8.1878
- Rouge-l: 20.6093
- Gen Len: 17.5178
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: 5e-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: 3
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge-1 | Rouge-2 | Rouge-l | Gen Len |
|---|---|---|---|---|---|---|---|
| 4.1701 | 1.0 | 2714 | 3.5546 | 21.3915 | 7.3166 | 19.3345 | 16.9907 |
| 3.8985 | 2.0 | 5428 | 3.4341 | 22.5776 | 7.9622 | 20.24 | 17.4148 |
| 3.8967 | 3.0 | 8142 | 3.3918 | 22.9677 | 8.1878 | 20.6093 | 17.5178 |
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