---
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: bert-base-uncased-classification-seq2seq
  results: []
---

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# bert-base-uncased-classification-seq2seq

This model is a fine-tuned version of [](https://huggingface.co/) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 14.625
- Accuracy: 0.1667

## 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: 16
- eval_batch_size: 16
- 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 |
|:-------------:|:-----:|:-----:|:---------------:|:--------:|
| 0.0056        | 1.0   | 2500  | 12.4694         | 0.1667   |
| 0.0015        | 2.0   | 5000  | 13.2865         | 0.1667   |
| 0.0006        | 3.0   | 7500  | 13.8803         | 0.1667   |
| 0.0003        | 4.0   | 10000 | 14.3258         | 0.1667   |
| 0.0002        | 5.0   | 12500 | 14.625          | 0.1667   |


### Framework versions

- Transformers 4.29.2
- Pytorch 2.0.0
- Datasets 2.1.0
- Tokenizers 0.13.3