EN_mt5-base_5_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: 1.0147
- Rouge2 Precision: 0.0101
- Rouge2 Recall: 0.0008
- Rouge2 Fmeasure: 0.0014
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 | 4.4261 | 0.0037 | 0.0008 | 0.0013 |
| 13.8978 | 2.0 | 876 | 1.9847 | 0.0032 | 0.0012 | 0.0016 |
| 3.4854 | 3.0 | 1314 | 1.6748 | 0.0002 | 0.0 | 0.0 |
| 2.1063 | 4.0 | 1752 | 1.2913 | 0.0074 | 0.0029 | 0.0036 |
| 1.6372 | 5.0 | 2190 | 1.0147 | 0.0101 | 0.0008 | 0.0014 |
Framework versions
- Transformers 4.26.1
- Pytorch 2.0.1+cu117
- Datasets 2.14.7.dev0
- Tokenizers 0.13.3