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--- |
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license: apache-2.0 |
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base_model: 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: my_model_en_to_ur |
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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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# my_model_en_to_ur |
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This model is a fine-tuned version of [t5-small](https://huggingface.co/t5-small) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.2587 |
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- Bleu: 0.0 |
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- Gen Len: 18.2573 |
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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: 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: linear |
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- num_epochs: 5 |
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- mixed_precision_training: Native AMP |
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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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| 0.3014 | 1.0 | 1250 | 0.2716 | 0.0 | 18.4279 | |
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| 0.2854 | 2.0 | 2500 | 0.2639 | 0.0 | 18.3976 | |
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| 0.2772 | 3.0 | 3750 | 0.2610 | 0.0 | 18.1718 | |
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| 0.2752 | 4.0 | 5000 | 0.2591 | 0.0 | 18.255 | |
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| 0.2766 | 5.0 | 6250 | 0.2587 | 0.0 | 18.2573 | |
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### Framework versions |
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- Transformers 4.35.2 |
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- Pytorch 2.1.0+cu121 |
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- Datasets 2.16.1 |
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- Tokenizers 0.15.0 |
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