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--- |
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license: apache-2.0 |
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base_model: google/mt5-small |
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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_first_v2 |
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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_first_v2 |
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This model is a fine-tuned version of [google/mt5-small](https://huggingface.co/google/mt5-small) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.4874 |
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- Bleu: 0.5931 |
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- Gen Len: 18.7836 |
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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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| 14.1813 | 1.0 | 975 | 2.7812 | 1.1085 | 18.9862 | |
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| 2.9943 | 2.0 | 1950 | 1.4463 | 1.4366 | 18.7331 | |
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| 1.9645 | 3.0 | 2925 | 1.0962 | 0.5916 | 18.7738 | |
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| 1.5852 | 4.0 | 3900 | 0.8990 | 0.5837 | 18.6944 | |
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| 1.3504 | 5.0 | 4875 | 0.7589 | 0.5952 | 18.7164 | |
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| 1.1926 | 6.0 | 5850 | 0.6843 | 0.6057 | 18.7367 | |
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| 1.0963 | 7.0 | 6825 | 0.6291 | 0.5969 | 18.7197 | |
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| 1.0192 | 8.0 | 7800 | 0.5902 | 0.6007 | 18.7428 | |
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| 0.9537 | 9.0 | 8775 | 0.5614 | 0.5879 | 18.7492 | |
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| 0.9127 | 10.0 | 9750 | 0.5366 | 0.5871 | 18.7667 | |
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| 0.8705 | 11.0 | 10725 | 0.5166 | 0.5841 | 18.7718 | |
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| 0.8472 | 12.0 | 11700 | 0.5041 | 0.5869 | 18.7777 | |
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| 0.8312 | 13.0 | 12675 | 0.4963 | 0.5917 | 18.7821 | |
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| 0.8243 | 14.0 | 13650 | 0.4890 | 0.5944 | 18.7838 | |
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| 0.8099 | 15.0 | 14625 | 0.4874 | 0.5931 | 18.7836 | |
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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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