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--- |
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base_model: mrm8488/t5-base-finetuned-common_gen |
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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-based-Masked-keywords-to-Sentence-Epoch-10 |
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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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# T5-based-Masked-keywords-to-Sentence-Epoch-10 |
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This model is a fine-tuned version of [mrm8488/t5-base-finetuned-common_gen](https://huggingface.co/mrm8488/t5-base-finetuned-common_gen) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 2.3073 |
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- Bleu: 6.3322 |
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- Gen Len: 13.3221 |
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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: 128 |
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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: 10 |
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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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| 2.255 | 1.0 | 527 | 2.2946 | 6.3492 | 13.0607 | |
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| 2.2177 | 2.0 | 1054 | 2.2913 | 6.3936 | 13.0821 | |
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| 2.2031 | 3.0 | 1581 | 2.2970 | 6.3451 | 13.1381 | |
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| 2.1827 | 4.0 | 2108 | 2.2992 | 6.4297 | 13.1899 | |
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| 2.1762 | 5.0 | 2635 | 2.3026 | 6.3671 | 13.3084 | |
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| 2.1623 | 6.0 | 3162 | 2.3047 | 6.3458 | 13.343 | |
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| 2.1572 | 7.0 | 3689 | 2.3061 | 6.3492 | 13.3079 | |
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| 2.1461 | 8.0 | 4216 | 2.3054 | 6.3986 | 13.3081 | |
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| 2.1466 | 9.0 | 4743 | 2.3075 | 6.3311 | 13.2982 | |
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| 2.1402 | 10.0 | 5270 | 2.3073 | 6.3322 | 13.3221 | |
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### Framework versions |
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- Transformers 4.37.2 |
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- Pytorch 2.2.2+cu118 |
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- Datasets 2.18.0 |
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- Tokenizers 0.15.1 |
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