---
license: mit
tags:
- generated_from_trainer
base_model: EleutherAI/gpt-neo-125m
model-index:
- name: gpt-neo-125m-finetuned-couples2
  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-125m-finetuned-couples2

This model is a fine-tuned version of [EleutherAI/gpt-neo-125m](https://huggingface.co/EleutherAI/gpt-neo-125m) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 2.6169

## 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-07
- 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: 6.0

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| No log        | 1.0   | 91   | 2.6242          |
| No log        | 2.0   | 182  | 2.6215          |
| No log        | 3.0   | 273  | 2.6194          |
| No log        | 4.0   | 364  | 2.6180          |
| No log        | 5.0   | 455  | 2.6171          |
| 2.6194        | 6.0   | 546  | 2.6169          |


### Framework versions

- Transformers 4.38.2
- Pytorch 2.1.0+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2