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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 |
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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 |
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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: 1.5115 |
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- Bleu: 38.4985 |
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- Meteor: 0.6605 |
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- Chrf++: 60.6076 |
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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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| 4.0658 | 0.3215 | 3000 | 2.1146 | 29.6159 | 0.587 | 53.1876 | |
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| 2.3311 | 0.6431 | 6000 | 1.8553 | 33.4209 | 0.6198 | 56.5789 | |
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| 2.0997 | 0.9646 | 9000 | 1.7308 | 35.2211 | 0.6359 | 58.0995 | |
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| 1.9354 | 1.2862 | 12000 | 1.6645 | 36.311 | 0.6437 | 58.9512 | |
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| 1.8583 | 1.6077 | 15000 | 1.6007 | 37.0671 | 0.6512 | 59.446 | |
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| 1.8043 | 1.9293 | 18000 | 1.5639 | 37.7823 | 0.6553 | 60.0906 | |
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| 1.728 | 2.2508 | 21000 | 1.5318 | 37.9166 | 0.6565 | 60.1504 | |
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| 1.6989 | 2.5723 | 24000 | 1.5188 | 38.4261 | 0.6603 | 60.5626 | |
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| 1.6854 | 2.8939 | 27000 | 1.5115 | 38.5249 | 0.6607 | 60.6204 | |
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| 1.6696 | 3.2154 | 30000 | 1.5115 | 38.4985 | 0.6605 | 60.6076 | |
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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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