---
license: mit
base_model: gpt2
tags:
- generated_from_trainer
model-index:
- name: yes_no_model
  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. -->

# yes_no_model

This model is a fine-tuned version of [gpt2](https://huggingface.co/gpt2) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0000

## 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: 20
- eval_batch_size: 20
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 50
- num_epochs: 3

### Training results

| Training Loss | Epoch  | Step | Validation Loss |
|:-------------:|:------:|:----:|:---------------:|
| 6.4778        | 0.2857 | 10   | 5.2663          |
| 2.9544        | 0.5714 | 20   | 1.8252          |
| 1.267         | 0.8571 | 30   | 0.7955          |
| 0.7249        | 1.1429 | 40   | 0.3101          |
| 0.3031        | 1.4286 | 50   | 0.0483          |
| 0.0606        | 1.7143 | 60   | 0.0010          |
| 0.0049        | 2.0    | 70   | 0.0001          |
| 0.0014        | 2.2857 | 80   | 0.0001          |
| 0.0005        | 2.5714 | 90   | 0.0000          |
| 0.0008        | 2.8571 | 100  | 0.0000          |


### Framework versions

- Transformers 4.41.2
- Pytorch 2.1.2
- Datasets 2.19.2
- Tokenizers 0.19.1