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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-small |
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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 |
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This model was trained from scratch on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 2.7308 |
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- Bleu: 0.0181 |
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- Gen Len: 27.656 |
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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: 8 |
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- eval_batch_size: 8 |
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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: 6 |
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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 | 377 | 10.5974 | 0.0027 | 128.0 | |
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| 16.889 | 2.0 | 754 | 6.2000 | 0.0006 | 127.762 | |
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| 8.7035 | 3.0 | 1131 | 4.2664 | 0.0024 | 48.7383 | |
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| 5.0692 | 4.0 | 1508 | 3.3315 | 0.0103 | 30.2219 | |
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| 5.0692 | 5.0 | 1885 | 2.8775 | 0.0202 | 27.7363 | |
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| 3.7431 | 6.0 | 2262 | 2.7308 | 0.0181 | 27.656 | |
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### Framework versions |
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- Transformers 4.40.0 |
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- Pytorch 2.2.1+cu121 |
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- Datasets 2.19.0 |
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- Tokenizers 0.19.1 |
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