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--- |
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license: apache-2.0 |
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base_model: Buseak/md_mt5_1911_v18_retrain |
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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_2611_retrain_v20_imst |
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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_2611_retrain_v20_imst |
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This model is a fine-tuned version of [Buseak/md_mt5_1911_v18_retrain](https://huggingface.co/Buseak/md_mt5_1911_v18_retrain) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.1318 |
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- Bleu: 2.1555 |
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- Gen Len: 18.766 |
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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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| 0.4201 | 1.0 | 916 | 0.2039 | 1.9544 | 18.7368 | |
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| 0.396 | 2.0 | 1832 | 0.1862 | 2.0084 | 18.7398 | |
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| 0.363 | 3.0 | 2748 | 0.1757 | 2.0274 | 18.7475 | |
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| 0.3559 | 4.0 | 3664 | 0.1681 | 2.0622 | 18.7573 | |
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| 0.3389 | 5.0 | 4580 | 0.1606 | 2.0798 | 18.7614 | |
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| 0.3338 | 6.0 | 5496 | 0.1528 | 2.1003 | 18.7581 | |
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| 0.3192 | 7.0 | 6412 | 0.1476 | 2.1099 | 18.7622 | |
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| 0.3162 | 8.0 | 7328 | 0.1449 | 2.1171 | 18.7554 | |
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| 0.2958 | 9.0 | 8244 | 0.1405 | 2.1293 | 18.7559 | |
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| 0.3012 | 10.0 | 9160 | 0.1379 | 2.1451 | 18.7606 | |
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| 0.2909 | 11.0 | 10076 | 0.1352 | 2.1459 | 18.7644 | |
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| 0.2869 | 12.0 | 10992 | 0.1338 | 2.1467 | 18.7628 | |
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| 0.2875 | 13.0 | 11908 | 0.1324 | 2.1467 | 18.7639 | |
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| 0.2875 | 14.0 | 12824 | 0.1317 | 2.155 | 18.7649 | |
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| 0.2836 | 15.0 | 13740 | 0.1318 | 2.1555 | 18.766 | |
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### Framework versions |
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- Transformers 4.35.2 |
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- Pytorch 2.1.0+cu118 |
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- Datasets 2.15.0 |
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- Tokenizers 0.15.0 |
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