---
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: Finetuned_FLAN-T5_VALUE_adapterfusion_lr5e-5_bs64
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# Finetuned_FLAN-T5_VALUE_adapterfusion_lr5e-5_bs64

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: 0.0879
- Accuracy: 0.8776

## 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: 5e-05
- train_batch_size: 64
- eval_batch_size: 64
- 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 |
|:-------------:|:-----:|:-----:|:---------------:|:--------:|
| 0.0597        | 0.07  | 1000  | 0.0890          | 0.8752   |
| 0.055         | 0.14  | 2000  | 0.0886          | 0.8768   |
| 0.0545        | 0.2   | 3000  | 0.0870          | 0.8746   |
| 0.0526        | 0.27  | 4000  | 0.0881          | 0.8756   |
| 0.0515        | 0.34  | 5000  | 0.0876          | 0.8756   |
| 0.0501        | 0.41  | 6000  | 0.0885          | 0.8788   |
| 0.0497        | 0.47  | 7000  | 0.0908          | 0.8756   |
| 0.0498        | 0.54  | 8000  | 0.0899          | 0.8776   |
| 0.0509        | 0.61  | 9000  | 0.0902          | 0.8754   |
| 0.0504        | 0.68  | 10000 | 0.0898          | 0.8736   |
| 0.049         | 0.74  | 11000 | 0.0879          | 0.8734   |
| 0.0494        | 0.81  | 12000 | 0.0878          | 0.8746   |
| 0.0477        | 0.88  | 13000 | 0.0883          | 0.8766   |
| 0.0498        | 0.95  | 14000 | 0.0879          | 0.8776   |


### Framework versions

- Transformers 4.26.1
- Pytorch 1.13.0+cu117
- Datasets 2.10.1
- Tokenizers 0.12.1