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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: ft-wmt14 |
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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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# ft-wmt14 |
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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: 1.7607 |
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- Bleu: 23.421 |
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- Gen Len: 27.6243 |
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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: 8 |
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- eval_batch_size: 8 |
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- seed: 42 |
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- gradient_accumulation_steps: 2 |
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- total_train_batch_size: 16 |
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- optimizer: Adafactor |
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- lr_scheduler_type: linear |
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- training_steps: 100000 |
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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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| 1.7882 | 0.2778 | 10000 | 1.9278 | 19.7853 | 28.4147 | |
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| 1.6619 | 0.5556 | 20000 | 1.8710 | 21.3803 | 27.667 | |
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| 1.6007 | 0.8333 | 30000 | 1.8397 | 22.2715 | 27.317 | |
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| 1.5269 | 1.1111 | 40000 | 1.8205 | 21.9329 | 27.704 | |
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| 1.498 | 1.3889 | 50000 | 1.8134 | 22.4836 | 27.63 | |
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| 1.4801 | 1.6667 | 60000 | 1.7941 | 22.727 | 27.582 | |
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| 1.462 | 1.9444 | 70000 | 1.7766 | 23.0372 | 27.5903 | |
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| 1.4182 | 2.2222 | 80000 | 1.7724 | 23.6231 | 27.4233 | |
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| 1.4079 | 2.5 | 90000 | 1.7663 | 23.2604 | 27.7623 | |
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| 1.4037 | 2.7778 | 100000 | 1.7607 | 23.421 | 27.6243 | |
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### Framework versions |
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- Transformers 4.40.0 |
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- Pytorch 2.2.2+cu121 |
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- Datasets 2.19.0 |
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- Tokenizers 0.19.1 |
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