---
license: mit
base_model: Aravindan/gpt2out
tags:
- generated_from_trainer
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: 0.9270

## 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: 25

### Training results

| Training Loss | Epoch   | Step | Validation Loss |
|:-------------:|:-------:|:----:|:---------------:|
| No log        | 0.9810  | 31   | 3.2508          |
| No log        | 1.9937  | 63   | 2.6920          |
| No log        | 2.9747  | 94   | 2.3769          |
| No log        | 3.9873  | 126  | 2.1444          |
| No log        | 5.0     | 158  | 1.9673          |
| No log        | 5.9810  | 189  | 1.8320          |
| No log        | 6.9937  | 221  | 1.7097          |
| No log        | 7.9747  | 252  | 1.6159          |
| No log        | 8.9873  | 284  | 1.5231          |
| No log        | 10.0    | 316  | 1.4535          |
| No log        | 10.9810 | 347  | 1.3788          |
| No log        | 11.9937 | 379  | 1.3109          |
| No log        | 12.9747 | 410  | 1.2496          |
| No log        | 13.9873 | 442  | 1.1989          |
| No log        | 14.9810 | 465  | 1.1647          |
| No log        | 15.9937 | 497  | 1.1208          |
| 1.3856        | 16.9747 | 528  | 1.0841          |
| 1.3856        | 17.9873 | 560  | 1.0464          |
| 1.3856        | 19.0    | 592  | 1.0180          |
| 1.3856        | 19.9810 | 623  | 0.9928          |
| 1.3856        | 20.9937 | 655  | 0.9689          |
| 1.3856        | 21.9747 | 686  | 0.9517          |
| 1.3856        | 22.9873 | 718  | 0.9390          |
| 1.3856        | 24.0    | 750  | 0.9298          |
| 1.3856        | 24.7911 | 775  | 0.9270          |


### Framework versions

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