---
license: mit
tags:
- generated_from_trainer
model-index:
- name: neo-model-test
  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. -->

# neo-model-test

This model is a fine-tuned version of [Tincando/neo-model-test](https://huggingface.co/Tincando/neo-model-test) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 3.5213

## 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 |
|:-------------:|:-----:|:----:|:---------------:|
| 3.2656        | 1.0   | 1104 | 3.5006          |
| 3.1478        | 2.0   | 2208 | 3.5114          |
| 3.0769        | 3.0   | 3312 | 3.5213          |


### Framework versions

- Transformers 4.26.1
- Pytorch 1.13.1+cu116
- Datasets 2.9.0
- Tokenizers 0.13.2