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

# gpt2-psych_chatbot

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: 1.9593

## 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: 0.0002
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 20

### Training results

| Training Loss | Epoch | Step  | Validation Loss |
|:-------------:|:-----:|:-----:|:---------------:|
| 5.8353        | 1.0   | 651   | 4.8999          |
| 4.8713        | 2.0   | 1302  | 4.4407          |
| 4.4876        | 3.0   | 1953  | 4.0638          |
| 3.7647        | 4.0   | 2604  | 3.7308          |
| 3.3969        | 5.0   | 3255  | 3.4360          |
| 3.1115        | 6.0   | 3906  | 3.1895          |
| 2.4283        | 7.0   | 4557  | 2.9595          |
| 2.0813        | 8.0   | 5208  | 2.7442          |
| 1.7785        | 9.0   | 5859  | 2.5330          |
| 1.3337        | 10.0  | 6510  | 2.3619          |
| 1.066         | 11.0  | 7161  | 2.2079          |
| 0.9607        | 12.0  | 7812  | 2.1072          |
| 0.8078        | 13.0  | 8463  | 2.0385          |
| 0.6072        | 14.0  | 9114  | 1.9966          |
| 0.5351        | 15.0  | 9765  | 1.9736          |
| 0.5049        | 16.0  | 10416 | 1.9646          |
| 0.3958        | 17.0  | 11067 | 1.9607          |
| 0.346         | 18.0  | 11718 | 1.9592          |
| 0.3244        | 19.0  | 12369 | 1.9565          |
| 0.2777        | 20.0  | 13020 | 1.9593          |


### Framework versions

- Transformers 4.40.2
- Pytorch 2.2.1+cu121
- Datasets 2.19.1
- Tokenizers 0.19.1