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--- |
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license: apache-2.0 |
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library_name: peft |
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tags: |
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- generated_from_trainer |
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base_model: t5-base |
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model-index: |
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- name: T5-PEFT-3 |
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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-PEFT-3 |
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This model is a fine-tuned version of [t5-base](https://huggingface.co/t5-base) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 1.1705 |
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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: 0.0002 |
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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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- 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: 2 |
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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 | |
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|:-------------:|:-----:|:----:|:---------------:| |
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| No log | 0.18 | 250 | 1.3105 | |
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| 1.7303 | 0.35 | 500 | 1.2574 | |
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| 1.7303 | 0.53 | 750 | 1.2259 | |
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| 1.3176 | 0.71 | 1000 | 1.2101 | |
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| 1.3176 | 0.89 | 1250 | 1.2009 | |
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| 1.2971 | 1.06 | 1500 | 1.1895 | |
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| 1.2971 | 1.24 | 1750 | 1.1828 | |
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| 1.2582 | 1.42 | 2000 | 1.1804 | |
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| 1.2582 | 1.6 | 2250 | 1.1763 | |
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| 1.2579 | 1.77 | 2500 | 1.1730 | |
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| 1.2579 | 1.95 | 2750 | 1.1705 | |
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### Framework versions |
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- PEFT 0.10.0 |
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- Transformers 4.38.2 |
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- Pytorch 2.2.1+cu121 |
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- Datasets 2.18.0 |
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- Tokenizers 0.15.2 |
