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--- |
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metrics: |
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- bleu |
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tags: |
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- generated_from_trainer |
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model-index: |
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- name: mt5-small-ainu |
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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-ainu |
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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: 1.8639 |
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- Bleu: 19.8267 |
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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: 0.0006 |
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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: 20 |
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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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| 2.4842 | 1.0 | 4670 | 2.1813 | 8.3904 | |
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| 2.0771 | 2.0 | 9340 | 1.9269 | 5.7433 | |
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| 1.8222 | 3.0 | 14010 | 1.8170 | 12.8222 | |
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| 1.6758 | 4.0 | 18680 | 1.7569 | 14.3024 | |
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| 1.5447 | 5.0 | 23350 | 1.7277 | 12.3842 | |
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| 1.4545 | 6.0 | 28020 | 1.7188 | 14.1082 | |
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| 1.3417 | 7.0 | 32690 | 1.7104 | 16.6177 | |
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| 1.2347 | 8.0 | 37360 | 1.7262 | 17.4827 | |
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| 1.1565 | 9.0 | 42030 | 1.7268 | 17.7124 | |
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| 1.081 | 10.0 | 46700 | 1.7581 | 18.6729 | |
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| 1.02 | 11.0 | 51370 | 1.7768 | 20.2419 | |
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| 0.9513 | 12.0 | 56040 | 1.8162 | 20.0469 | |
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| 0.8934 | 13.0 | 60710 | 1.8370 | 19.7150 | |
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| 0.8343 | 14.0 | 65380 | 1.8639 | 19.8267 | |
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### Framework versions |
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- Transformers 4.40.1 |
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- Pytorch 2.1.2 |
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- Datasets 2.19.0 |
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- Tokenizers 0.19.1 |
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