metadata
license: apache-2.0
base_model: Buseak/md_mt5_1911_v18_retrain
tags:
- generated_from_trainer
metrics:
- bleu
model-index:
- name: md_mt5_2611_retrain_v20_imst
results: []
md_mt5_2611_retrain_v20_imst
This model is a fine-tuned version of Buseak/md_mt5_1911_v18_retrain on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.1318
- Bleu: 2.1555
- Gen Len: 18.766
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: 2e-05
- train_batch_size: 4
- eval_batch_size: 4
- 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 | Bleu | Gen Len |
|---|---|---|---|---|---|
| 0.4201 | 1.0 | 916 | 0.2039 | 1.9544 | 18.7368 |
| 0.396 | 2.0 | 1832 | 0.1862 | 2.0084 | 18.7398 |
| 0.363 | 3.0 | 2748 | 0.1757 | 2.0274 | 18.7475 |
| 0.3559 | 4.0 | 3664 | 0.1681 | 2.0622 | 18.7573 |
| 0.3389 | 5.0 | 4580 | 0.1606 | 2.0798 | 18.7614 |
| 0.3338 | 6.0 | 5496 | 0.1528 | 2.1003 | 18.7581 |
| 0.3192 | 7.0 | 6412 | 0.1476 | 2.1099 | 18.7622 |
| 0.3162 | 8.0 | 7328 | 0.1449 | 2.1171 | 18.7554 |
| 0.2958 | 9.0 | 8244 | 0.1405 | 2.1293 | 18.7559 |
| 0.3012 | 10.0 | 9160 | 0.1379 | 2.1451 | 18.7606 |
| 0.2909 | 11.0 | 10076 | 0.1352 | 2.1459 | 18.7644 |
| 0.2869 | 12.0 | 10992 | 0.1338 | 2.1467 | 18.7628 |
| 0.2875 | 13.0 | 11908 | 0.1324 | 2.1467 | 18.7639 |
| 0.2875 | 14.0 | 12824 | 0.1317 | 2.155 | 18.7649 |
| 0.2836 | 15.0 | 13740 | 0.1318 | 2.1555 | 18.766 |
Framework versions
- Transformers 4.35.2
- Pytorch 2.1.0+cu118
- Datasets 2.15.0
- Tokenizers 0.15.0