---
license: mit
tags:
- generated_from_trainer
model-index:
- name: GPT-Y
  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-Y

This model is a fine-tuned version of [juancopi81/gpt2-finetuned-yannic-large](https://huggingface.co/juancopi81/gpt2-finetuned-yannic-large) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 3.0797

## 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: 8

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| No log        | 1.0   | 403  | 3.0809          |
| 2.9847        | 2.0   | 806  | 3.0811          |
| 2.9516        | 3.0   | 1209 | 3.0781          |
| 2.916         | 4.0   | 1612 | 3.0791          |
| 2.9006        | 5.0   | 2015 | 3.0775          |
| 2.9006        | 6.0   | 2418 | 3.0799          |
| 2.8814        | 7.0   | 2821 | 3.0798          |
| 2.8672        | 8.0   | 3224 | 3.0797          |


### Framework versions

- Transformers 4.24.0
- Pytorch 1.12.1+cu113
- Datasets 2.7.1
- Tokenizers 0.13.2