---
license: mit
tags:
- generated_from_trainer
model-index:
- name: gpt-m-multi-var
  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-m-multi-var

This model is a fine-tuned version of [augustocsc/gpt-m](https://huggingface.co/augustocsc/gpt-m) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0023

## 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: 0.0002
- 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
- training_steps: 5000

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 0.0053        | 0.55  | 500  | 0.0030          |
| 0.0034        | 1.1   | 1000 | 0.0029          |
| 0.0027        | 1.65  | 1500 | 0.0034          |
| 0.0027        | 2.2   | 2000 | 0.0026          |
| 0.0027        | 2.75  | 2500 | 0.0024          |
| 0.0027        | 3.3   | 3000 | 0.0024          |
| 0.0026        | 3.85  | 3500 | 0.0023          |
| 0.0024        | 4.4   | 4000 | 0.0024          |
| 0.0024        | 4.95  | 4500 | 0.0023          |
| 0.0025        | 5.5   | 5000 | 0.0023          |


### Framework versions

- Transformers 4.26.1
- Pytorch 1.13.1+cu116
- Datasets 2.10.1
- Tokenizers 0.13.2