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--- |
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license: apache-2.0 |
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base_model: Buseak/md_mt5_base_boun_split_second_v1_retrain_on_first_boun |
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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_base_boun_split_second_v1_retrain_on_second_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_base_boun_split_second_v1_retrain_on_second_imst |
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This model is a fine-tuned version of [Buseak/md_mt5_base_boun_split_second_v1_retrain_on_first_boun](https://huggingface.co/Buseak/md_mt5_base_boun_split_second_v1_retrain_on_first_boun) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.1581 |
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- Bleu: 2.0954 |
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- Gen Len: 18.7592 |
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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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| 0.5133 | 1.0 | 916 | 0.2581 | 1.8828 | 18.7472 | |
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| 0.4699 | 2.0 | 1832 | 0.2371 | 1.9073 | 18.7142 | |
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| 0.4469 | 3.0 | 2748 | 0.2222 | 1.9197 | 18.739 | |
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| 0.4205 | 4.0 | 3664 | 0.2085 | 1.9502 | 18.7502 | |
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| 0.4001 | 5.0 | 4580 | 0.1983 | 1.9643 | 18.7409 | |
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| 0.3992 | 6.0 | 5496 | 0.1898 | 1.9948 | 18.7633 | |
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| 0.3824 | 7.0 | 6412 | 0.1841 | 2.0136 | 18.7614 | |
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| 0.3666 | 8.0 | 7328 | 0.1766 | 2.0422 | 18.7649 | |
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| 0.3562 | 9.0 | 8244 | 0.1713 | 2.0554 | 18.7636 | |
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| 0.345 | 10.0 | 9160 | 0.1672 | 2.0659 | 18.7611 | |
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| 0.3465 | 11.0 | 10076 | 0.1637 | 2.0804 | 18.7611 | |
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| 0.3303 | 12.0 | 10992 | 0.1617 | 2.0815 | 18.7619 | |
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| 0.3333 | 13.0 | 11908 | 0.1594 | 2.0835 | 18.7592 | |
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| 0.328 | 14.0 | 12824 | 0.1581 | 2.0958 | 18.7592 | |
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| 0.3267 | 15.0 | 13740 | 0.1581 | 2.0954 | 18.7592 | |
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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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