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--- |
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base_model: google/mt5-base |
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license: apache-2.0 |
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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-base-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-base-ainu |
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This model is a fine-tuned version of [google/mt5-base](https://huggingface.co/google/mt5-base) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 2.1105 |
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- Bleu: 37.4939 |
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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: 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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| 2.1267 | 1.0 | 9341 | 1.8026 | 20.8450 | |
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| 1.6408 | 2.0 | 18682 | 1.4706 | 26.7109 | |
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| 1.4098 | 3.0 | 28023 | 1.3494 | 30.7048 | |
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| 1.2546 | 4.0 | 37364 | 1.2910 | 32.5056 | |
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| 1.124 | 5.0 | 46705 | 1.2617 | 33.7060 | |
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| 1.0048 | 6.0 | 56046 | 1.2578 | 34.5824 | |
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| 0.8872 | 7.0 | 65387 | 1.2639 | 35.1029 | |
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| 0.8103 | 8.0 | 74728 | 1.2955 | 35.7998 | |
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| 0.7298 | 9.0 | 84069 | 1.3284 | 35.8310 | |
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| 0.6494 | 10.0 | 93410 | 1.3780 | 36.3268 | |
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| 0.5696 | 11.0 | 102751 | 1.4343 | 36.2494 | |
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| 0.5148 | 12.0 | 112092 | 1.4957 | 36.8702 | |
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| 0.4487 | 13.0 | 121433 | 1.5511 | 36.8981 | |
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| 0.3941 | 14.0 | 130774 | 1.6235 | 36.8809 | |
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| 0.3432 | 15.0 | 140115 | 1.6957 | 37.0269 | |
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| 0.3023 | 16.0 | 149456 | 1.7935 | 37.1839 | |
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| 0.2614 | 17.0 | 158797 | 1.8619 | 37.1935 | |
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| 0.2267 | 18.0 | 168138 | 1.9485 | 37.4170 | |
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| 0.1996 | 19.0 | 177479 | 2.0348 | 37.3585 | |
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| 0.1746 | 20.0 | 186820 | 2.1105 | 37.4939 | |
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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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