metadata
license: apache-2.0
base_model: Buseak/md_mt5_0109_v7
tags:
- generated_from_trainer
metrics:
- bleu
model-index:
- name: md_mt5_0109_v8
results: []
md_mt5_0109_v8
This model is a fine-tuned version of Buseak/md_mt5_0109_v7 on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.0444
- Bleu: 0.6614
- Gen Len: 18.9444
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 |
|---|---|---|---|---|---|
| 0.1129 | 1.0 | 975 | 0.0597 | 0.6517 | 18.9418 |
| 0.1094 | 2.0 | 1950 | 0.0567 | 0.654 | 18.9372 |
| 0.1101 | 3.0 | 2925 | 0.0543 | 0.657 | 18.9415 |
| 0.1097 | 4.0 | 3900 | 0.0520 | 0.6555 | 18.9446 |
| 0.1091 | 5.0 | 4875 | 0.0511 | 0.6571 | 18.9446 |
| 0.1102 | 6.0 | 5850 | 0.0497 | 0.6591 | 18.9451 |
| 0.1056 | 7.0 | 6825 | 0.0489 | 0.6585 | 18.9444 |
| 0.1088 | 8.0 | 7800 | 0.0470 | 0.6595 | 18.9436 |
| 0.1103 | 9.0 | 8775 | 0.0467 | 0.6589 | 18.9415 |
| 0.1078 | 10.0 | 9750 | 0.0462 | 0.66 | 18.9423 |
| 0.1106 | 11.0 | 10725 | 0.0451 | 0.6605 | 18.9431 |
| 0.1112 | 12.0 | 11700 | 0.0448 | 0.6607 | 18.9444 |
| 0.1134 | 13.0 | 12675 | 0.0447 | 0.6607 | 18.9395 |
| 0.1183 | 14.0 | 13650 | 0.0446 | 0.6602 | 18.9408 |
| 0.1188 | 15.0 | 14625 | 0.0444 | 0.6614 | 18.9444 |
Framework versions
- Transformers 4.38.2
- Pytorch 2.2.1+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2