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update model card README.md
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README.md
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---
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license: apache-2.0
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tags:
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- generated_from_trainer
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metrics:
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- accuracy
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model-index:
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- name: Finetuned_FLAN-T5_VALUE_adapterfusion_lr5e-5_bs64
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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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# Finetuned_FLAN-T5_VALUE_adapterfusion_lr5e-5_bs64
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This model is a fine-tuned version of [liuyanchen1015/FLAN-T5_GLUE_finetuning_lr3e-4](https://huggingface.co/liuyanchen1015/FLAN-T5_GLUE_finetuning_lr3e-4) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.0879
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- Accuracy: 0.8776
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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: 5e-05
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- train_batch_size: 64
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- eval_batch_size: 64
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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: 1.0
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Accuracy |
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|:-------------:|:-----:|:-----:|:---------------:|:--------:|
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| 0.0597 | 0.07 | 1000 | 0.0890 | 0.8752 |
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| 0.055 | 0.14 | 2000 | 0.0886 | 0.8768 |
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| 0.0545 | 0.2 | 3000 | 0.0870 | 0.8746 |
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| 0.0526 | 0.27 | 4000 | 0.0881 | 0.8756 |
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| 0.0515 | 0.34 | 5000 | 0.0876 | 0.8756 |
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| 0.0501 | 0.41 | 6000 | 0.0885 | 0.8788 |
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| 0.0497 | 0.47 | 7000 | 0.0908 | 0.8756 |
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| 0.0498 | 0.54 | 8000 | 0.0899 | 0.8776 |
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| 0.0509 | 0.61 | 9000 | 0.0902 | 0.8754 |
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| 0.0504 | 0.68 | 10000 | 0.0898 | 0.8736 |
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| 0.049 | 0.74 | 11000 | 0.0879 | 0.8734 |
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| 0.0494 | 0.81 | 12000 | 0.0878 | 0.8746 |
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| 0.0477 | 0.88 | 13000 | 0.0883 | 0.8766 |
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| 0.0498 | 0.95 | 14000 | 0.0879 | 0.8776 |
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### Framework versions
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- Transformers 4.26.1
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- Pytorch 1.13.0+cu117
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- Datasets 2.10.1
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- Tokenizers 0.12.1
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