---
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: fine-tuning-binary_bert-cola-glue-steps47-bs128-0.0003-8-8-512-0.1
  results: []
---

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# fine-tuning-binary_bert-cola-glue-steps47-bs128-0.0003-8-8-512-0.1

This model was trained from scratch on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0003
- Accuracy: 1.0

## 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: 0.0003
- train_batch_size: 128
- eval_batch_size: 128
- seed: 42
- distributed_type: multi-GPU
- num_devices: 2
- total_train_batch_size: 256
- total_eval_batch_size: 256
- optimizer: Adam with betas=(0.9,0.98) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 1

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 0.3086        | 0.21  | 5    | 0.0410          | 1.0      |
| 0.02          | 0.42  | 10   | 0.0019          | 1.0      |
| 0.0016        | 0.62  | 15   | 0.0005          | 1.0      |
| 0.0006        | 0.83  | 20   | 0.0003          | 1.0      |


### Framework versions

- Transformers 4.34.1
- Pytorch 2.1.0+cu121
- Datasets 2.14.6
- Tokenizers 0.14.1