---
license: mit
base_model: EleutherAI/gpt-neo-125M
tags:
- generated_from_trainer
datasets:
- daily_dialog
model-index:
- name: gpt-neo-daily-dialog
  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. -->

# gpt-neo-daily-dialog

This model is a fine-tuned version of [EleutherAI/gpt-neo-125M](https://huggingface.co/EleutherAI/gpt-neo-125M) on the daily_dialog dataset.
It achieves the following results on the evaluation set:
- Loss: 2.3630

## 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: 3e-05
- train_batch_size: 1
- eval_batch_size: 1
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 4
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 2
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch  | Step | Validation Loss |
|:-------------:|:------:|:----:|:---------------:|
| 2.5578        | 0.1799 | 500  | 2.5389          |
| 2.4489        | 0.3598 | 1000 | 2.4848          |
| 2.4904        | 0.5397 | 1500 | 2.4453          |
| 2.3967        | 0.7196 | 2000 | 2.4236          |
| 2.4108        | 0.8994 | 2500 | 2.4042          |
| 2.2683        | 1.0793 | 3000 | 2.3939          |
| 2.2068        | 1.2592 | 3500 | 2.3849          |
| 2.2195        | 1.4391 | 4000 | 2.3798          |
| 2.2381        | 1.6190 | 4500 | 2.3709          |
| 2.241         | 1.7989 | 5000 | 2.3647          |
| 2.2108        | 1.9788 | 5500 | 2.3630          |


### Framework versions

- Transformers 4.42.4
- Pytorch 2.4.0+cu121
- Datasets 2.21.0
- Tokenizers 0.19.1