---
license: mit
tags:
- generated_from_trainer
model-index:
- name: gpt2-finetuned-v4-seinfeld
  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-finetuned-v4-seinfeld

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: 2.6941

## 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: 8
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 8
- total_train_batch_size: 64
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_steps: 1000
- num_epochs: 15
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 3.1734        | 0.79  | 8    | 2.9417          |
| 3.1576        | 1.59  | 16   | 2.9239          |
| 3.1234        | 2.4   | 24   | 2.8920          |
| 3.0712        | 3.2   | 32   | 2.8634          |
| 2.9738        | 3.99  | 40   | 2.8342          |
| 2.9761        | 4.79  | 48   | 2.8069          |
| 2.9294        | 5.59  | 56   | 2.7844          |
| 2.9026        | 6.4   | 64   | 2.7665          |
| 2.8501        | 7.2   | 72   | 2.7544          |
| 2.7805        | 7.99  | 80   | 2.7398          |
| 2.7905        | 8.79  | 88   | 2.7293          |
| 2.7661        | 9.59  | 96   | 2.7204          |
| 2.7272        | 10.4  | 104  | 2.7131          |
| 2.7092        | 11.2  | 112  | 2.7056          |
| 2.6392        | 11.99 | 120  | 2.7010          |
| 2.6468        | 12.79 | 128  | 2.6961          |
| 2.6269        | 13.59 | 136  | 2.6899          |
| 2.5952        | 14.4  | 144  | 2.6874          |


### Framework versions

- Transformers 4.26.1
- Pytorch 1.13.1+cu116
- Datasets 2.10.0
- Tokenizers 0.13.2