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--- |
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license: apache-2.0 |
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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-small-finetuned-MultiHead-230207-finetuned-MultiHead-230210-finetuned-MultiHead-230214 |
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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-small-finetuned-MultiHead-230207-finetuned-MultiHead-230210-finetuned-MultiHead-230214 |
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This model is a fine-tuned version of [Shularp/mt5-small-finetuned-MultiHead-230207-finetuned-MultiHead-230210](https://huggingface.co/Shularp/mt5-small-finetuned-MultiHead-230207-finetuned-MultiHead-230210) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 2.0046 |
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- Bleu: 17.7500 |
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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: 32 |
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- eval_batch_size: 32 |
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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: 3 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Bleu | |
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|:-------------:|:-----:|:------:|:---------------:|:-------:| |
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| 2.4438 | 1.0 | 33611 | 2.0445 | 16.6555 | |
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| 2.3878 | 2.0 | 67222 | 2.0143 | 17.3884 | |
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| 2.3861 | 3.0 | 100833 | 2.0046 | 17.7500 | |
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### Framework versions |
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- Transformers 4.26.1 |
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- Pytorch 1.13.1+cu116 |
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- Datasets 2.9.0 |
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- Tokenizers 0.13.2 |
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