| | --- |
| | 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: [] |
| | --- |
| | |
| | <!-- This model card has been generated automatically according to the information the Trainer had access to. You |
| | should probably proofread and complete it, then remove this comment. --> |
| |
|
| | # md_mt5_0109_v4 |
| | |
| | This model is a fine-tuned version of [Buseak/md_mt5_0109_v3](https://huggingface.co/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 |
| | |
