metadata
license: apache-2.0
base_model: Buseak/md_mt5_0109_v2
tags:
- generated_from_trainer
metrics:
- bleu
model-index:
- name: md_mt5_0109_v3
results: []
md_mt5_0109_v3
This model is a fine-tuned version of Buseak/md_mt5_0109_v2 on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.1474
- Bleu: 0.582
- Gen Len: 18.9438
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 |
|---|---|---|---|---|---|
| 0.461 | 1.0 | 975 | 0.2323 | 0.5382 | 18.9456 |
| 0.434 | 2.0 | 1950 | 0.2157 | 0.5482 | 18.9446 |
| 0.4083 | 3.0 | 2925 | 0.2039 | 0.5526 | 18.949 |
| 0.3894 | 4.0 | 3900 | 0.1898 | 0.5577 | 18.9485 |
| 0.3766 | 5.0 | 4875 | 0.1827 | 0.5625 | 18.9508 |
| 0.3605 | 6.0 | 5850 | 0.1751 | 0.5665 | 18.9508 |
| 0.3497 | 7.0 | 6825 | 0.1680 | 0.5717 | 18.949 |
| 0.3325 | 8.0 | 7800 | 0.1634 | 0.5735 | 18.9423 |
| 0.323 | 9.0 | 8775 | 0.1581 | 0.574 | 18.9469 |
| 0.3211 | 10.0 | 9750 | 0.1546 | 0.58 | 18.9467 |
| 0.3177 | 11.0 | 10725 | 0.1526 | 0.5805 | 18.9464 |
| 0.3085 | 12.0 | 11700 | 0.1498 | 0.5831 | 18.9459 |
| 0.3056 | 13.0 | 12675 | 0.1485 | 0.5816 | 18.9456 |
| 0.304 | 14.0 | 13650 | 0.1478 | 0.5819 | 18.9438 |
| 0.3015 | 15.0 | 14625 | 0.1474 | 0.582 | 18.9438 |
Framework versions
- Transformers 4.35.2
- Pytorch 2.1.0+cu121
- Datasets 2.16.1
- Tokenizers 0.15.0