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--- |
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license: apache-2.0 |
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base_model: google-t5/t5-small |
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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: t5-small-scratch-iwslt2017 |
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results: [] |
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datasets: |
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- IWSLT/iwslt2017 |
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language: |
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- en |
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- de |
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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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# t5-small-scratch-iwslt2017 |
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[Source Code](https://github.com/minseok0809/transformer-implementation) |
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This model is a fine-tuned version of [google-t5/t5-small](https://huggingface.co/google-t5/t5-small) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 2.0647 |
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- Bleu: 0.2786 |
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- Gen Len: 26.3908 |
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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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- iwslt2017: https://huggingface.co/datasets/IWSLT/iwslt2017 |
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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: 5e-05 |
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- train_batch_size: 64 |
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- eval_batch_size: 128 |
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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: 50 |
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### Training results |
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### Framework versions |
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- Transformers 4.42.0.dev0 |
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- Pytorch 2.1.2 |
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- Datasets 2.19.0 |
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- Tokenizers 0.19.1 |
