---
license: mit
base_model: SG1123/boolq_model_v2
tags:
- generated_from_trainer
model-index:
- name: boolq_finetuned
  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. -->

# boolq_finetuned

This model is a fine-tuned version of [SG1123/boolq_model_v2](https://huggingface.co/SG1123/boolq_model_v2) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.5641

## 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: 1e-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 |
|:-------------:|:-----:|:----:|:---------------:|
| No log        | 1.0   | 28   | 0.4478          |
| No log        | 2.0   | 56   | 0.5258          |
| No log        | 3.0   | 84   | 0.5573          |
| No log        | 4.0   | 112  | 0.5547          |
| No log        | 5.0   | 140  | 0.5641          |


### Framework versions

- Transformers 4.35.2
- Pytorch 2.1.0+cu118
- Datasets 2.15.0
- Tokenizers 0.15.0