---
license: mit
base_model: EleutherAI/gpt-neo-125M
tags:
- generated_from_trainer
model-index:
- name: EthanHorror7
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# EthanHorror7

This model is a fine-tuned version of [EleutherAI/gpt-neo-125M](https://huggingface.co/EleutherAI/gpt-neo-125M) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 1.0296

## 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: 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: 10

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| No log        | 1.0   | 1    | 2.3768          |
| No log        | 2.0   | 2    | 1.9620          |
| No log        | 3.0   | 3    | 1.7432          |
| No log        | 4.0   | 4    | 1.5631          |
| No log        | 5.0   | 5    | 1.4120          |
| No log        | 6.0   | 6    | 1.2940          |
| No log        | 7.0   | 7    | 1.1950          |
| No log        | 8.0   | 8    | 1.1147          |
| No log        | 9.0   | 9    | 1.0586          |
| No log        | 10.0  | 10   | 1.0296          |


### Framework versions

- Transformers 4.31.0
- Pytorch 2.0.1+cu118
- Datasets 2.13.1
- Tokenizers 0.13.3