---
license: mit
base_model: Ganz00/redit_gpt
tags:
- generated_from_trainer
model-index:
- name: redit_gpt_finetuned_chat
  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. -->

# redit_gpt_finetuned_chat

This model is a fine-tuned version of [Ganz00/redit_gpt](https://huggingface.co/Ganz00/redit_gpt) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.7279

## 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: 32
- eval_batch_size: 32
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| No log        | 1.0   | 85   | 1.5043          |
| No log        | 2.0   | 170  | 0.8985          |
| No log        | 3.0   | 255  | 0.7279          |


### Framework versions

- Transformers 4.42.4
- Pytorch 2.3.1+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1