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--- |
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base_model: google/mt5-small |
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license: apache-2.0 |
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tags: |
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- generated_from_trainer |
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model-index: |
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- name: mt5-base-ainu-kana |
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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-ainu-kana |
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This model is a fine-tuned version of [google/mt5-small](https://huggingface.co/google/mt5-small) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.0804 |
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- Chrf: 97.6659 |
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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: 0.0005 |
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- train_batch_size: 16 |
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- eval_batch_size: 16 |
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- seed: 42 |
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- gradient_accumulation_steps: 2 |
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- total_train_batch_size: 32 |
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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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- lr_scheduler_warmup_ratio: 0.06 |
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- num_epochs: 10 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Chrf | |
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|:-------------:|:------:|:-----:|:---------------:|:-------:| |
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| 0.3825 | 0.9999 | 4701 | 0.2094 | 93.1478 | |
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| 0.213 | 2.0 | 9403 | 0.1313 | 95.6819 | |
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| 0.1512 | 2.9999 | 14104 | 0.1083 | 96.3753 | |
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| 0.1164 | 4.0 | 18806 | 0.1005 | 96.6527 | |
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| 0.0979 | 4.9999 | 23507 | 0.0901 | 97.1337 | |
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| 0.0844 | 6.0 | 28209 | 0.0859 | 97.2226 | |
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| 0.0779 | 6.9999 | 32910 | 0.0807 | 97.4449 | |
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| 0.0574 | 8.0 | 37612 | 0.0817 | 97.5779 | |
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| 0.0544 | 8.9999 | 42313 | 0.0802 | 97.6210 | |
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| 0.0484 | 9.9989 | 47010 | 0.0804 | 97.6659 | |
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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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