---
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- accuracy
model_index:
  name: bert-base-uncased-finetuned-sst2-sst2-membership
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# bert-base-uncased-finetuned-sst2-sst2-membership

This model is a fine-tuned version of [ikevin98/bert-base-uncased-finetuned-sst2](https://huggingface.co/ikevin98/bert-base-uncased-finetuned-sst2) on an unkown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0396
- Accuracy: 0.7729

## 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: 2e-05
- train_batch_size: 32
- eval_batch_size: 32
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 5

### Training results

| Training Loss | Epoch | Step  | Validation Loss | Accuracy |
|:-------------:|:-----:|:-----:|:---------------:|:--------:|
| 0.0255        | 1.0   | 3813  | 0.0237          | 0.7140   |
| 0.0163        | 2.0   | 7626  | 0.0252          | 0.7493   |
| 0.0073        | 3.0   | 11439 | 0.0396          | 0.7729   |
| 0.0054        | 4.0   | 15252 | 0.0335          | 0.7661   |
| 0.0015        | 5.0   | 19065 | 0.0457          | 0.7669   |


### Framework versions

- Transformers 4.9.2
- Pytorch 1.8.1
- Datasets 1.11.0
- Tokenizers 0.10.1