---
license: mit
base_model: openai-community/gpt2
tags:
- generated_from_trainer
model-index:
- name: chatbot_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. -->

# chatbot_model

This model is a fine-tuned version of [openai-community/gpt2](https://huggingface.co/openai-community/gpt2) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 5.4551

## 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: 0.0001
- 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: cosine
- lr_scheduler_warmup_steps: 1
- num_epochs: 1
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 6.3724        | 0.06  | 50   | 6.1788          |
| 6.286         | 0.12  | 100  | 6.0336          |
| 6.1512        | 0.18  | 150  | 5.9263          |
| 6.0683        | 0.24  | 200  | 5.8277          |
| 5.986         | 0.3   | 250  | 5.7590          |
| 5.9205        | 0.36  | 300  | 5.7009          |
| 5.8265        | 0.42  | 350  | 5.6524          |
| 5.7699        | 0.47  | 400  | 5.6017          |
| 5.8097        | 0.53  | 450  | 5.5629          |
| 5.7624        | 0.59  | 500  | 5.5347          |
| 5.689         | 0.65  | 550  | 5.5032          |
| 5.7271        | 0.71  | 600  | 5.4836          |
| 5.6464        | 0.77  | 650  | 5.4660          |
| 5.6965        | 0.83  | 700  | 5.4632          |
| 5.5684        | 0.89  | 750  | 5.4594          |
| 5.6917        | 0.95  | 800  | 5.4551          |


### Framework versions

- Transformers 4.35.2
- Pytorch 2.1.0+cu121
- Datasets 2.17.0
- Tokenizers 0.15.2