mt5-base-finetuned-onet
This model is a fine-tuned version of google/mt5-base on the None dataset.
It achieves the following results on the evaluation set:
- Loss: nan
- Rouge1: 6.336
- Rouge2: 0.8465
- Rougel: 5.8139
- Rougelsum: 5.894
- Gen Len: 13.204
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: 2e-05
- train_batch_size: 1
- eval_batch_size: 1
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 1
- mixed_precision_training: Native AMP
Training results
| Training Loss |
Epoch |
Step |
Validation Loss |
Rouge1 |
Rouge2 |
Rougel |
Rougelsum |
Gen Len |
| 0.0 |
1.0 |
999 |
nan |
6.336 |
0.8465 |
5.8139 |
5.894 |
13.204 |
Framework versions
- Transformers 4.36.2
- Pytorch 2.1.0+cu121
- Datasets 2.16.1
- Tokenizers 0.15.0
