EN_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: 1.8036
- Rouge2 Precision: 0.0
- Rouge2 Recall: 0.0
- Rouge2 Fmeasure: 0.0
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: 15
Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge2 Precision | Rouge2 Recall | Rouge2 Fmeasure |
|---|---|---|---|---|---|---|
| No log | 1.0 | 438 | 0.2132 | 0.009 | 0.0041 | 0.0051 |
| 6.2612 | 2.0 | 876 | 0.5214 | 0.0036 | 0.0013 | 0.0018 |
| 0.161 | 3.0 | 1314 | 0.4509 | 0.009 | 0.0038 | 0.0051 |
| 0.0989 | 4.0 | 1752 | 0.4065 | 0.0 | 0.0 | 0.0 |
| 0.0793 | 5.0 | 2190 | 0.3735 | 0.0 | 0.0 | 0.0 |
| 0.0657 | 6.0 | 2628 | 0.3679 | 0.0 | 0.0 | 0.0 |
| 0.0592 | 7.0 | 3066 | 0.3044 | 0.0016 | 0.0008 | 0.001 |
| 0.0557 | 8.0 | 3504 | 0.3032 | 0.0 | 0.0 | 0.0 |
| 0.0557 | 9.0 | 3942 | 0.3212 | 0.0014 | 0.002 | 0.0015 |
| 0.7984 | 10.0 | 4380 | 0.7433 | 0.0 | 0.0 | 0.0 |
| 0.9026 | 11.0 | 4818 | 0.0904 | 0.0 | 0.0 | 0.0 |
| 0.0419 | 12.0 | 5256 | 2.8192 | 0.0 | 0.0 | 0.0 |
| 0.0184 | 13.0 | 5694 | 0.7313 | 0.0 | 0.0 | 0.0 |
| 0.0121 | 14.0 | 6132 | 0.9688 | 0.0 | 0.0 | 0.0 |
| 0.0116 | 15.0 | 6570 | 1.8036 | 0.0 | 0.0 | 0.0 |
Framework versions
- Transformers 4.26.1
- Pytorch 2.0.1+cu117
- Datasets 2.14.7.dev0
- Tokenizers 0.13.3