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--- |
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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: mt5-base_2 |
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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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# mt5-base_2 |
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This model is a fine-tuned version of [obokkkk/mt5-base](https://huggingface.co/obokkkk/mt5-base) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 1.1742 |
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- Bleu: 9.479 |
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- Gen Len: 16.9226 |
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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: 0.0001 |
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- train_batch_size: 8 |
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- eval_batch_size: 8 |
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- seed: 42 |
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- gradient_accumulation_steps: 256 |
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- total_train_batch_size: 2048 |
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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: 5 |
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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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| No log | 1.0 | 183 | 1.1834 | 9.3761 | 16.9129 | |
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| No log | 2.0 | 366 | 1.1791 | 9.422 | 16.9334 | |
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| 1.3969 | 3.0 | 549 | 1.1764 | 9.4432 | 16.9082 | |
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| 1.3969 | 4.0 | 732 | 1.1749 | 9.461 | 16.9157 | |
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| 1.3969 | 5.0 | 915 | 1.1742 | 9.479 | 16.9226 | |
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### Framework versions |
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- Transformers 4.18.0 |
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- Pytorch 1.11.0+cu113 |
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- Datasets 2.1.0 |
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- Tokenizers 0.12.1 |
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