---
license: mit
tags:
- generated_from_trainer
base_model: EleutherAI/gpt-neo-1.3B
model-index:
- name: gpt-neo-1.3B-lama
  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-lama

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: 2.7338

## 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 |
|:-------------:|:-----:|:----:|:---------------:|
| 2.7594        | 1.0   | 840  | 2.6645          |
| 2.2676        | 2.0   | 1680 | 2.6694          |
| 1.9628        | 3.0   | 2520 | 2.7338          |


### Framework versions

- Transformers 4.37.2
- Pytorch 2.2.1
- Datasets 2.12.0
- Tokenizers 0.15.1