metadata
license: apache-2.0
tags:
- generated_from_trainer
model-index:
- name: EN_mt5-small_15_spider
results: []
EN_mt5-small_15_spider
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: 0.3864
- Rouge2 Precision: 0.4106
- Rouge2 Recall: 0.2578
- Rouge2 Fmeasure: 0.2937
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 | 3.8361 | 0.0003 | 0.0006 | 0.0002 |
| 16.5932 | 2.0 | 876 | 1.5381 | 0.0031 | 0.0012 | 0.0016 |
| 2.0998 | 3.0 | 1314 | 0.7401 | 0.0938 | 0.052 | 0.0569 |
| 1.1309 | 4.0 | 1752 | 0.4827 | 0.267 | 0.1627 | 0.1791 |
| 0.5166 | 5.0 | 2190 | 0.4313 | 0.3065 | 0.1922 | 0.2121 |
| 0.3883 | 6.0 | 2628 | 0.4112 | 0.3387 | 0.219 | 0.2418 |
| 0.3299 | 7.0 | 3066 | 0.3975 | 0.3758 | 0.2331 | 0.2624 |
| 0.293 | 8.0 | 3504 | 0.3896 | 0.3759 | 0.2451 | 0.2713 |
| 0.293 | 9.0 | 3942 | 0.3914 | 0.396 | 0.2504 | 0.2838 |
| 0.2687 | 10.0 | 4380 | 0.3863 | 0.3948 | 0.2531 | 0.2851 |
| 0.2537 | 11.0 | 4818 | 0.3877 | 0.3962 | 0.2542 | 0.2863 |
| 0.2431 | 12.0 | 5256 | 0.3860 | 0.4096 | 0.2545 | 0.2909 |
| 0.2331 | 13.0 | 5694 | 0.3872 | 0.403 | 0.2561 | 0.2909 |
| 0.23 | 14.0 | 6132 | 0.3862 | 0.4082 | 0.2577 | 0.293 |
| 0.225 | 15.0 | 6570 | 0.3864 | 0.4106 | 0.2578 | 0.2937 |
Framework versions
- Transformers 4.26.1
- Pytorch 2.0.1+cu117
- Datasets 2.14.7.dev0
- Tokenizers 0.13.3