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--- |
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library_name: peft |
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license: apache-2.0 |
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base_model: google/flan-t5-base |
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tags: |
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- generated_from_trainer |
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model-index: |
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- name: flan-t5-base |
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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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# flan-t5-base |
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This model is a fine-tuned version of [google/flan-t5-base](https://huggingface.co/google/flan-t5-base) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.4829 |
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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: 0.01 |
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- train_batch_size: 4 |
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- eval_batch_size: 4 |
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- seed: 42 |
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- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments |
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- lr_scheduler_type: linear |
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- num_epochs: 20 |
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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 | 1.0 | 7 | 4.4814 | |
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| 14.0527 | 2.0 | 14 | 2.8827 | |
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| 2.9577 | 3.0 | 21 | 0.9385 | |
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| 2.9577 | 4.0 | 28 | 0.7474 | |
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| 1.1968 | 5.0 | 35 | 0.6469 | |
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| 0.856 | 6.0 | 42 | 0.6204 | |
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| 0.856 | 7.0 | 49 | 0.5960 | |
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| 0.8294 | 8.0 | 56 | 0.5871 | |
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| 0.7195 | 9.0 | 63 | 0.5555 | |
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| 0.6591 | 10.0 | 70 | 0.5468 | |
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| 0.6591 | 11.0 | 77 | 0.5375 | |
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| 0.6328 | 12.0 | 84 | 0.5498 | |
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| 0.5922 | 13.0 | 91 | 0.5306 | |
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| 0.5922 | 14.0 | 98 | 0.5075 | |
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| 0.5789 | 15.0 | 105 | 0.4910 | |
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| 0.5288 | 16.0 | 112 | 0.4886 | |
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| 0.5288 | 17.0 | 119 | 0.4802 | |
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| 0.5109 | 18.0 | 126 | 0.4869 | |
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| 0.5001 | 19.0 | 133 | 0.4834 | |
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| 0.4811 | 20.0 | 140 | 0.4829 | |
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### Framework versions |
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- PEFT 0.14.0 |
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- Transformers 4.48.3 |
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- Pytorch 2.5.1+cu124 |
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- Tokenizers 0.21.0 |
