---
license: mit
base_model: gpt2
tags:
- generated_from_trainer
model-index:
- name: finetuningtest
  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. -->

# finetuningtest

This model is a fine-tuned version of [gpt2](https://huggingface.co/gpt2) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 3.7542

## 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: 0.0005
- train_batch_size: 15
- eval_batch_size: 15
- seed: 42
- gradient_accumulation_steps: 8
- total_train_batch_size: 120
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_steps: 1000
- num_epochs: 10
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| No log        | 1.0   | 180  | 5.4889          |
| No log        | 2.0   | 360  | 4.6958          |
| No log        | 3.0   | 540  | 4.2670          |
| No log        | 4.0   | 720  | 4.0355          |
| No log        | 5.0   | 900  | 3.9067          |
| No log        | 6.0   | 1080 | 3.8282          |
| No log        | 7.0   | 1260 | 3.7552          |
| No log        | 8.0   | 1440 | 3.7185          |
| No log        | 9.0   | 1620 | 3.7286          |
| No log        | 10.0  | 1800 | 3.7542          |


### Framework versions

- Transformers 4.40.1
- Pytorch 2.3.0+cu121
- Datasets 2.19.0
- Tokenizers 0.19.1