---
license: mit
base_model: EleutherAI/gpt-neo-1.3B
tags:
- generated_from_trainer
model-index:
- name: gpt-neo-1.3B-cs-finetuning-500-1
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# gpt-neo-1.3B-cs-finetuning-500-1

This model is a fine-tuned version of [EleutherAI/gpt-neo-1.3B](https://huggingface.co/EleutherAI/gpt-neo-1.3B) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 2.8937

## 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: 3.0

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| No log        | 1.0   | 26   | 2.9272          |
| No log        | 2.0   | 52   | 2.8625          |
| No log        | 3.0   | 78   | 2.8937          |


### Framework versions

- Transformers 4.36.2
- Pytorch 1.13.1+cu117
- Datasets 2.14.6
- Tokenizers 0.15.0