File size: 1,949 Bytes
1aa0177 fb28b57 1aa0177 fb28b57 1aa0177 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 | ---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- wikisql
model-index:
- name: EN_mt5-small_5_wikiSQL
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# EN_mt5-small_5_wikiSQL
This model is a fine-tuned version of [google/mt5-small](https://huggingface.co/google/mt5-small) on the wikisql dataset.
It achieves the following results on the evaluation set:
- Loss: 0.1353
- Rouge2 Precision: 0.8272
- Rouge2 Recall: 0.7504
- Rouge2 Fmeasure: 0.7811
## 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 |
|:-------------:|:-----:|:-----:|:---------------:|:----------------:|:-------------:|:---------------:|
| 0.286 | 1.0 | 4049 | 0.1954 | 0.7917 | 0.7111 | 0.7421 |
| 0.2149 | 2.0 | 8098 | 0.1560 | 0.815 | 0.7378 | 0.768 |
| 0.1892 | 3.0 | 12147 | 0.1436 | 0.8229 | 0.7452 | 0.7762 |
| 0.1792 | 4.0 | 16196 | 0.1383 | 0.826 | 0.7494 | 0.7799 |
| 0.1744 | 5.0 | 20245 | 0.1353 | 0.8272 | 0.7504 | 0.7811 |
### Framework versions
- Transformers 4.26.1
- Pytorch 2.0.1+cu117
- Datasets 2.14.7.dev0
- Tokenizers 0.13.3
|