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--- |
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base_model: drewcurran/translation_model |
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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: model-spanglish |
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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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# model-spanglish |
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This model is a fine-tuned version of [drewcurran/translation_model](https://huggingface.co/drewcurran/translation_model) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 1.5595 |
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- Bleu: 5.861 |
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- Gen Len: 17.8 |
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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: 2e-05 |
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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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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
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- lr_scheduler_type: linear |
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- num_epochs: 10 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Bleu | Gen Len | |
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|:-------------:|:-----:|:----:|:---------------:|:------:|:-------:| |
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| 2.3242 | 1.0 | 10 | 1.8794 | 1.372 | 18.4 | |
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| 2.2034 | 2.0 | 20 | 1.7643 | 1.8888 | 18.125 | |
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| 2.0818 | 3.0 | 30 | 1.6884 | 2.1152 | 18.125 | |
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| 2.0447 | 4.0 | 40 | 1.6408 | 2.0966 | 17.925 | |
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| 1.9457 | 5.0 | 50 | 1.6089 | 2.286 | 17.925 | |
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| 1.9454 | 6.0 | 60 | 1.5881 | 2.3929 | 17.95 | |
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| 1.8906 | 7.0 | 70 | 1.5756 | 2.4497 | 17.95 | |
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| 1.8829 | 8.0 | 80 | 1.5669 | 4.2201 | 18.025 | |
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| 1.8483 | 9.0 | 90 | 1.5613 | 5.861 | 17.8 | |
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| 1.8454 | 10.0 | 100 | 1.5595 | 5.861 | 17.8 | |
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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 2.19.1 |
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- Tokenizers 0.19.1 |
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