ADL_test
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: 3.9924
- Rouge-1: 19.8975
- Rouge-2: 7.0134
- Rouge-l: 18.2845
- Gen Len: 14.3786
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
- gradient_accumulation_steps: 16
- total_train_batch_size: 16
- optimizer: Adafactor
- lr_scheduler_type: linear
- num_epochs: 4.0
Training results
| Training Loss | Epoch | Step | Gen Len | Validation Loss | Rouge-1 | Rouge-2 | Rouge-l |
|---|---|---|---|---|---|---|---|
| 6.0773 | 1.0 | 1356 | 11.8835 | 4.1822 | 17.4884 | 6.039 | 16.4024 |
| 5.0033 | 2.0 | 2713 | 13.385 | 4.0972 | 18.9145 | 6.6873 | 17.5342 |
| 4.7707 | 3.0 | 4068 | 14 | 4.019 | 19.62 | 6.908 | 18.08 |
| 4.7391 | 4.0 | 5424 | 14.3786 | 3.992 | 19.9 | 7.013 | 18.28 |
Framework versions
- Transformers 4.34.0
- Pytorch 1.13.1+cu116
- Datasets 2.14.5
- Tokenizers 0.14.1