---
license: other
tags:
- generated_from_trainer
base_model: apple/OpenELM-270M
model-index:
- name: gpt2-evy
  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. -->

# gpt2-evy

This model is a fine-tuned version of [apple/OpenELM-270M](https://huggingface.co/apple/OpenELM-270M) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 2.1525

## 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: 5e-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: 20

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| No log        | 1.0   | 4    | 1.3157          |
| No log        | 2.0   | 8    | 1.3995          |
| No log        | 3.0   | 12   | 1.5098          |
| No log        | 4.0   | 16   | 1.6855          |
| No log        | 5.0   | 20   | 1.7936          |
| No log        | 6.0   | 24   | 1.8727          |
| No log        | 7.0   | 28   | 1.9813          |
| No log        | 8.0   | 32   | 2.0602          |
| No log        | 9.0   | 36   | 2.1174          |
| No log        | 10.0  | 40   | 2.1440          |
| No log        | 11.0  | 44   | 2.1525          |


### Framework versions

- Transformers 4.40.1
- Pytorch 2.2.1+cu121
- Datasets 2.19.1
- Tokenizers 0.19.1