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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: al-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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# al-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: 0.7427 |
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- Bleu: 51.2627 |
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- Gen Len: 26.713 |
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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: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
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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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| 0.8503 | 0.2778 | 10000 | 0.9749 | 41.49 | 27.2803 | |
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| 0.7082 | 0.5556 | 20000 | 0.8905 | 44.7235 | 26.6963 | |
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| 0.6407 | 0.8333 | 30000 | 0.8530 | 46.6914 | 27.019 | |
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| 0.573 | 1.1111 | 40000 | 0.8260 | 47.4882 | 26.6827 | |
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| 0.5438 | 1.3889 | 50000 | 0.8017 | 48.472 | 26.8617 | |
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| 0.5263 | 1.6667 | 60000 | 0.7810 | 49.0812 | 26.8817 | |
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| 0.5091 | 1.9444 | 70000 | 0.7654 | 49.9355 | 26.7853 | |
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| 0.4699 | 2.2222 | 80000 | 0.7605 | 50.3601 | 26.72 | |
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| 0.4597 | 2.5 | 90000 | 0.7488 | 50.92 | 26.8803 | |
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| 0.454 | 2.7778 | 100000 | 0.7427 | 51.2627 | 26.713 | |
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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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