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--- |
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license: apache-2.0 |
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base_model: Buseak/md_mt5_0109_v2 |
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tags: |
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- generated_from_trainer |
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metrics: |
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- bleu |
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model-index: |
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- name: md_mt5_0109_v3 |
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results: [] |
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--- |
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You |
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should probably proofread and complete it, then remove this comment. --> |
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# md_mt5_0109_v3 |
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This model is a fine-tuned version of [Buseak/md_mt5_0109_v2](https://huggingface.co/Buseak/md_mt5_0109_v2) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.1474 |
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- Bleu: 0.582 |
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- Gen Len: 18.9438 |
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## Model description |
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More information needed |
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## Intended uses & limitations |
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More information needed |
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## Training and evaluation data |
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More information needed |
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## Training procedure |
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### Training hyperparameters |
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The following hyperparameters were used during training: |
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- learning_rate: 2e-05 |
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- train_batch_size: 4 |
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- eval_batch_size: 4 |
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- seed: 42 |
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
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- lr_scheduler_type: linear |
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- num_epochs: 15 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Bleu | Gen Len | |
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|:-------------:|:-----:|:-----:|:---------------:|:------:|:-------:| |
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| 0.461 | 1.0 | 975 | 0.2323 | 0.5382 | 18.9456 | |
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| 0.434 | 2.0 | 1950 | 0.2157 | 0.5482 | 18.9446 | |
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| 0.4083 | 3.0 | 2925 | 0.2039 | 0.5526 | 18.949 | |
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| 0.3894 | 4.0 | 3900 | 0.1898 | 0.5577 | 18.9485 | |
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| 0.3766 | 5.0 | 4875 | 0.1827 | 0.5625 | 18.9508 | |
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| 0.3605 | 6.0 | 5850 | 0.1751 | 0.5665 | 18.9508 | |
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| 0.3497 | 7.0 | 6825 | 0.1680 | 0.5717 | 18.949 | |
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| 0.3325 | 8.0 | 7800 | 0.1634 | 0.5735 | 18.9423 | |
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| 0.323 | 9.0 | 8775 | 0.1581 | 0.574 | 18.9469 | |
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| 0.3211 | 10.0 | 9750 | 0.1546 | 0.58 | 18.9467 | |
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| 0.3177 | 11.0 | 10725 | 0.1526 | 0.5805 | 18.9464 | |
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| 0.3085 | 12.0 | 11700 | 0.1498 | 0.5831 | 18.9459 | |
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| 0.3056 | 13.0 | 12675 | 0.1485 | 0.5816 | 18.9456 | |
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| 0.304 | 14.0 | 13650 | 0.1478 | 0.5819 | 18.9438 | |
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| 0.3015 | 15.0 | 14625 | 0.1474 | 0.582 | 18.9438 | |
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### Framework versions |
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- Transformers 4.35.2 |
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- Pytorch 2.1.0+cu121 |
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- Datasets 2.16.1 |
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- Tokenizers 0.15.0 |
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