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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_man |
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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_man |
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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: 1.1748 |
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- Bleu: 43.9515 |
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- Meteor: 0.6913 |
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- Chrf++: 62.7752 |
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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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| 4.3337 | 0.26 | 2500 | 2.0225 | 27.9199 | 0.5539 | 49.0346 | |
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| 2.4254 | 0.53 | 5000 | 1.7244 | 33.3111 | 0.6023 | 54.0561 | |
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| 2.1742 | 0.79 | 7500 | 1.5831 | 35.9048 | 0.6263 | 56.4407 | |
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| 2.027 | 1.05 | 10000 | 1.5000 | 37.665 | 0.6418 | 57.9131 | |
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| 1.9113 | 1.32 | 12500 | 1.4375 | 38.1525 | 0.6462 | 58.1999 | |
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| 1.8536 | 1.58 | 15000 | 1.3846 | 39.6031 | 0.659 | 59.4201 | |
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| 1.8003 | 1.84 | 17500 | 1.3468 | 40.1249 | 0.6625 | 59.8142 | |
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| 1.7367 | 2.11 | 20000 | 1.3078 | 41.024 | 0.6678 | 60.4354 | |
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| 1.6845 | 2.37 | 22500 | 1.2849 | 41.5369 | 0.6721 | 60.9458 | |
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| 1.6609 | 2.64 | 25000 | 1.2589 | 41.9956 | 0.676 | 61.2321 | |
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| 1.6362 | 2.9 | 27500 | 1.2358 | 42.5127 | 0.6817 | 61.7016 | |
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| 1.5945 | 3.16 | 30000 | 1.2218 | 42.7584 | 0.6816 | 61.8378 | |
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| 1.5638 | 3.43 | 32500 | 1.2088 | 42.9875 | 0.6844 | 62.0687 | |
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| 1.5557 | 3.69 | 35000 | 1.1983 | 43.3948 | 0.6862 | 62.2546 | |
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| 1.5469 | 3.95 | 37500 | 1.1864 | 43.5866 | 0.6877 | 62.5001 | |
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| 1.5151 | 4.22 | 40000 | 1.1826 | 43.5886 | 0.6888 | 62.501 | |
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| 1.5081 | 4.48 | 42500 | 1.1783 | 43.8291 | 0.6898 | 62.6281 | |
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| 1.5035 | 4.74 | 45000 | 1.1764 | 43.7796 | 0.6904 | 62.6856 | |
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| 1.4997 | 5.01 | 47500 | 1.1752 | 43.8886 | 0.6908 | 62.7218 | |
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| 1.4894 | 5.27 | 50000 | 1.1748 | 43.9515 | 0.6913 | 62.7752 | |
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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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