metadata
license: apache-2.0
base_model: Buseak/md_mt5_0109
tags:
- generated_from_trainer
metrics:
- bleu
model-index:
- name: md_mt5_0109_v2
results: []
md_mt5_0109_v2
This model is a fine-tuned version of Buseak/md_mt5_0109 on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.2368
- Bleu: 0.5272
- Gen Len: 18.9267
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 |
|---|---|---|---|---|---|
| 0.8133 | 1.0 | 975 | 0.4559 | 0.4502 | 18.9192 |
| 0.7386 | 2.0 | 1950 | 0.4087 | 0.4689 | 18.9203 |
| 0.6826 | 3.0 | 2925 | 0.3751 | 0.4854 | 18.9244 |
| 0.6321 | 4.0 | 3900 | 0.3450 | 0.4959 | 18.9221 |
| 0.6062 | 5.0 | 4875 | 0.3235 | 0.4977 | 18.9187 |
| 0.5634 | 6.0 | 5850 | 0.3027 | 0.5123 | 18.9172 |
| 0.5361 | 7.0 | 6825 | 0.2874 | 0.5146 | 18.9259 |
| 0.5152 | 8.0 | 7800 | 0.2719 | 0.5211 | 18.9295 |
| 0.503 | 9.0 | 8775 | 0.2661 | 0.5222 | 18.9292 |
| 0.4868 | 10.0 | 9750 | 0.2550 | 0.5258 | 18.9277 |
| 0.4691 | 11.0 | 10725 | 0.2485 | 0.5263 | 18.9251 |
| 0.4672 | 12.0 | 11700 | 0.2432 | 0.526 | 18.9238 |
| 0.4607 | 13.0 | 12675 | 0.2394 | 0.5268 | 18.9259 |
| 0.4536 | 14.0 | 13650 | 0.2369 | 0.5272 | 18.9267 |
| 0.4499 | 15.0 | 14625 | 0.2368 | 0.5272 | 18.9267 |
Framework versions
- Transformers 4.35.2
- Pytorch 2.1.0+cu121
- Datasets 2.16.1
- Tokenizers 0.15.0