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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: 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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# 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: 1.1770 |
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- Bleu: 43.8724 |
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- Meteor: 0.6916 |
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- Chrf++: 62.661 |
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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: 50000 |
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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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| 4.3102 | 0.44 | 2500 | 2.0045 | 27.8405 | 0.5556 | 49.2062 | |
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| 2.408 | 0.88 | 5000 | 1.7104 | 33.3638 | 0.6039 | 54.2966 | |
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| 2.1298 | 1.31 | 7500 | 1.5654 | 36.5253 | 0.6312 | 56.719 | |
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| 1.9966 | 1.75 | 10000 | 1.4823 | 37.7206 | 0.6409 | 57.8933 | |
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| 1.8882 | 2.19 | 12500 | 1.4168 | 39.2333 | 0.6518 | 59.0052 | |
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| 1.8055 | 2.63 | 15000 | 1.3736 | 39.9916 | 0.6585 | 59.5057 | |
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| 1.756 | 3.06 | 17500 | 1.3454 | 40.4973 | 0.6622 | 59.9928 | |
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| 1.6829 | 3.5 | 20000 | 1.3109 | 41.6502 | 0.6732 | 60.8574 | |
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| 1.6575 | 3.94 | 22500 | 1.2729 | 41.7069 | 0.6729 | 60.9659 | |
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| 1.5944 | 4.38 | 25000 | 1.2549 | 42.2762 | 0.6783 | 61.5535 | |
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| 1.5758 | 4.81 | 27500 | 1.2349 | 42.6516 | 0.6803 | 61.6749 | |
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| 1.5407 | 5.25 | 30000 | 1.2231 | 42.6637 | 0.6817 | 61.7779 | |
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| 1.5146 | 5.69 | 32500 | 1.2082 | 42.8507 | 0.6856 | 61.9916 | |
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| 1.4953 | 6.13 | 35000 | 1.1988 | 43.387 | 0.6873 | 62.2332 | |
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| 1.4687 | 6.56 | 37500 | 1.1874 | 43.4174 | 0.6876 | 62.3151 | |
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| 1.4664 | 7.0 | 40000 | 1.1825 | 43.7501 | 0.6913 | 62.5472 | |
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| 1.4415 | 7.44 | 42500 | 1.1803 | 43.7744 | 0.6909 | 62.6208 | |
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| 1.4408 | 7.88 | 45000 | 1.1771 | 43.8914 | 0.692 | 62.6599 | |
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| 1.4346 | 8.31 | 47500 | 1.1772 | 43.9709 | 0.6919 | 62.7096 | |
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| 1.4311 | 8.75 | 50000 | 1.1770 | 43.8724 | 0.6916 | 62.661 | |
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### Framework versions |
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- Transformers 4.38.0 |
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- Pytorch 2.2.1+cu121 |
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- Datasets 2.19.1 |
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- Tokenizers 0.15.2 |
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