metadata
license: apache-2.0
base_model: Buseak/md_mt5_0109_v3
tags:
- generated_from_trainer
metrics:
- bleu
model-index:
- name: md_mt5_0109_v4
results: []
md_mt5_0109_v4
This model is a fine-tuned version of Buseak/md_mt5_0109_v3 on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.1076
- Bleu: 0.5986
- Gen Len: 18.9367
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 |
|---|---|---|---|---|---|
| 0.319 | 1.0 | 975 | 0.1525 | 0.5661 | 18.9408 |
| 0.3086 | 2.0 | 1950 | 0.1450 | 0.5746 | 18.9364 |
| 0.2952 | 3.0 | 2925 | 0.1376 | 0.5786 | 18.9369 |
| 0.2822 | 4.0 | 3900 | 0.1322 | 0.5793 | 18.9392 |
| 0.272 | 5.0 | 4875 | 0.1272 | 0.5836 | 18.94 |
| 0.2676 | 6.0 | 5850 | 0.1230 | 0.5854 | 18.9377 |
| 0.255 | 7.0 | 6825 | 0.1205 | 0.5873 | 18.9369 |
| 0.2516 | 8.0 | 7800 | 0.1161 | 0.5901 | 18.941 |
| 0.247 | 9.0 | 8775 | 0.1146 | 0.5924 | 18.939 |
| 0.2426 | 10.0 | 9750 | 0.1127 | 0.5947 | 18.9374 |
| 0.234 | 11.0 | 10725 | 0.1108 | 0.5962 | 18.9374 |
| 0.2359 | 12.0 | 11700 | 0.1091 | 0.5983 | 18.9374 |
| 0.2347 | 13.0 | 12675 | 0.1086 | 0.5983 | 18.9377 |
| 0.2271 | 14.0 | 13650 | 0.1077 | 0.5984 | 18.9367 |
| 0.2318 | 15.0 | 14625 | 0.1076 | 0.5986 | 18.9367 |
Framework versions
- Transformers 4.35.2
- Pytorch 2.1.0+cu121
- Datasets 2.16.1
- Tokenizers 0.15.0