TH_mt5-base_spider
This model is a fine-tuned version of google/mt5-base on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.5610
- Rouge2 Precision: 0.0324
- Rouge2 Recall: 0.0315
- Rouge2 Fmeasure: 0.0309
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: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 5
Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge2 Precision | Rouge2 Recall | Rouge2 Fmeasure |
|---|---|---|---|---|---|---|
| No log | 1.0 | 438 | 0.9649 | 0.0019 | 0.0019 | 0.0019 |
| 7.2087 | 2.0 | 876 | 0.6476 | 0.0203 | 0.0171 | 0.0179 |
| 0.94 | 3.0 | 1314 | 0.5898 | 0.0305 | 0.027 | 0.028 |
| 0.7387 | 4.0 | 1752 | 0.5669 | 0.0311 | 0.0283 | 0.029 |
| 0.6698 | 5.0 | 2190 | 0.5610 | 0.0324 | 0.0315 | 0.0309 |
Framework versions
- Transformers 4.26.1
- Pytorch 2.0.1+cu117
- Datasets 2.14.7.dev0
- Tokenizers 0.13.3