---
license: mit
tags:
- generated_from_trainer
base_model: Aravindan/gpt2out
model-index:
- name: gpt2coder-8epochs
  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. -->

# gpt2coder-8epochs

This model is a fine-tuned version of [Aravindan/gpt2out](https://huggingface.co/Aravindan/gpt2out) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 1.9718

## 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
- gradient_accumulation_steps: 10
- total_train_batch_size: 80
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 8

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| No log        | 1.0   | 125  | 3.1181          |
| No log        | 2.0   | 250  | 2.6411          |
| No log        | 3.0   | 375  | 2.4035          |
| 2.9711        | 4.0   | 500  | 2.2375          |
| 2.9711        | 5.0   | 625  | 2.1289          |
| 2.9711        | 6.0   | 750  | 2.0475          |
| 2.9711        | 7.0   | 875  | 1.9931          |
| 2.1959        | 8.0   | 1000 | 1.9718          |


### Framework versions

- Transformers 4.41.1
- Pytorch 2.1.2
- Datasets 2.19.1
- Tokenizers 0.19.1