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--- |
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license: apache-2.0 |
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base_model: Buseak/md_mt5_base_boun_split_first_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_base_boun_split_second_v1_retrain_on_first_boun |
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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_first_boun |
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This model is a fine-tuned version of [Buseak/md_mt5_base_boun_split_first_v2](https://huggingface.co/Buseak/md_mt5_base_boun_split_first_v2) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.2417 |
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- Bleu: 0.7017 |
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- Gen Len: 18.7854 |
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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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| 0.8304 | 1.0 | 975 | 0.4605 | 0.5978 | 18.7538 | |
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| 0.7517 | 2.0 | 1950 | 0.4132 | 0.6142 | 18.7521 | |
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| 0.696 | 3.0 | 2925 | 0.3806 | 0.6384 | 18.7754 | |
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| 0.6427 | 4.0 | 3900 | 0.3525 | 0.652 | 18.7659 | |
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| 0.6183 | 5.0 | 4875 | 0.3270 | 0.6645 | 18.7759 | |
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| 0.5737 | 6.0 | 5850 | 0.3105 | 0.6698 | 18.781 | |
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| 0.5498 | 7.0 | 6825 | 0.2940 | 0.6736 | 18.7764 | |
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| 0.5223 | 8.0 | 7800 | 0.2789 | 0.6896 | 18.7823 | |
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| 0.5131 | 9.0 | 8775 | 0.2697 | 0.6887 | 18.7808 | |
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| 0.4961 | 10.0 | 9750 | 0.2599 | 0.6944 | 18.7823 | |
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| 0.4815 | 11.0 | 10725 | 0.2536 | 0.696 | 18.7836 | |
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| 0.4791 | 12.0 | 11700 | 0.2480 | 0.6994 | 18.7859 | |
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| 0.4671 | 13.0 | 12675 | 0.2430 | 0.6992 | 18.7856 | |
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| 0.469 | 14.0 | 13650 | 0.2417 | 0.7011 | 18.7856 | |
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| 0.4642 | 15.0 | 14625 | 0.2417 | 0.7017 | 18.7854 | |
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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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