update model card README.md

README.md

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+---
+license: apache-2.0
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+model-index:
+- name: Finetuned_FLAN-T5_VALUE_adapterfusion_lr1e-4_bs96
+  results: []
+---
+
+<!-- This model card has been generated automatically according to the information the Trainer had access to. You
+should probably proofread and complete it, then remove this comment. -->
+
+# Finetuned_FLAN-T5_VALUE_adapterfusion_lr1e-4_bs96
+
+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.
+It achieves the following results on the evaluation set:
+- Loss: 0.0896
+- Accuracy: 0.8782
+
+## Model description
+
+More information needed
+
+## Intended uses & limitations
+
+More information needed
+
+## Training and evaluation data
+
+More information needed
+
+## Training procedure
+
+### Training hyperparameters
+
+The following hyperparameters were used during training:
+- learning_rate: 0.0001
+- train_batch_size: 96
+- eval_batch_size: 96
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 1.0
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Accuracy |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|
+| 0.0588        | 0.25  | 2500 | 0.0865          | 0.8766   |
+| 0.054         | 0.51  | 5000 | 0.0891          | 0.8768   |
+| 0.0525        | 0.76  | 7500 | 0.0896          | 0.8782   |
+
+
+### Framework versions
+
+- Transformers 4.26.1
+- Pytorch 1.13.0+cu117
+- Datasets 2.10.1
+- Tokenizers 0.12.1