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--- |
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base_model: samzirbo/mT5.en-es.pretrained |
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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.gendered_balanced |
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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.gendered_balanced |
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This model is a fine-tuned version of [samzirbo/mT5.en-es.pretrained](https://huggingface.co/samzirbo/mT5.en-es.pretrained) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 1.4866 |
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- Bleu: 39.6812 |
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- Meteor: 0.6692 |
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- Chrf++: 61.3473 |
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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: 64 |
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- eval_batch_size: 64 |
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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: cosine |
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- lr_scheduler_warmup_steps: 1000 |
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- training_steps: 30000 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Bleu | Meteor | Chrf++ | |
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|:-------------:|:------:|:-----:|:---------------:|:-------:|:------:|:-------:| |
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| 4.1158 | 0.5398 | 3000 | 2.0732 | 30.5675 | 0.5924 | 53.893 | |
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| 2.3023 | 1.0795 | 6000 | 1.8272 | 34.4378 | 0.6271 | 57.2898 | |
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| 2.0519 | 1.6193 | 9000 | 1.6942 | 36.285 | 0.6425 | 58.7385 | |
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| 1.9164 | 2.1591 | 12000 | 1.6272 | 37.2462 | 0.6501 | 59.5268 | |
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| 1.8125 | 2.6988 | 15000 | 1.5733 | 38.0984 | 0.658 | 60.2315 | |
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| 1.745 | 3.2386 | 18000 | 1.5362 | 38.7569 | 0.6624 | 60.7258 | |
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| 1.6918 | 3.7783 | 21000 | 1.5089 | 39.1779 | 0.6656 | 60.9923 | |
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| 1.6465 | 4.3181 | 24000 | 1.4947 | 39.5129 | 0.6681 | 61.2241 | |
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| 1.6289 | 4.8579 | 27000 | 1.4876 | 39.6134 | 0.669 | 61.2987 | |
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| 1.6187 | 5.3976 | 30000 | 1.4866 | 39.6812 | 0.6692 | 61.3473 | |
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### Framework versions |
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- Transformers 4.40.1 |
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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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