transformers safetensors gpt2 text-generation generated_from_trainer base_model:gpt2 license:mit autotrain_compatible endpoints_compatible text-generation-inference region:us
---
license: mit
base_model: gpt2
tags:
- generated_from_trainer
model-index:
- name: otuformer32
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# otuformer32

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: 3.6267

## 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: 2e-05
- train_batch_size: 32
- eval_batch_size: 32
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 32

### Training results

| Training Loss | Epoch | Step   | Validation Loss |
|:-------------:|:-----:|:------:|:---------------:|
| 4.3522        | 1.0   | 19103  | 4.2848          |
| 4.1331        | 2.0   | 38206  | 4.0580          |
| 3.9926        | 3.0   | 57309  | 3.9385          |
| 3.8894        | 4.0   | 76412  | 3.8598          |
| 3.8241        | 5.0   | 95515  | 3.8064          |
| 3.7619        | 6.0   | 114618 | 3.7661          |
| 3.7111        | 7.0   | 133721 | 3.7354          |
| 3.6472        | 8.0   | 152824 | 3.7080          |
| 3.6201        | 9.0   | 171927 | 3.6930          |
| 3.5723        | 10.0  | 191030 | 3.6744          |
| 3.5426        | 11.0  | 210133 | 3.6611          |
| 3.4896        | 12.0  | 229236 | 3.6528          |
| 3.4649        | 13.0  | 248339 | 3.6462          |
| 3.4489        | 14.0  | 267442 | 3.6393          |
| 3.4087        | 15.0  | 286545 | 3.6331          |
| 3.3864        | 16.0  | 305648 | 3.6292          |
| 3.3619        | 17.0  | 324751 | 3.6267          |
| 3.3456        | 18.0  | 343854 | 3.6241          |
| 3.303         | 19.0  | 362957 | 3.6234          |
| 3.2988        | 20.0  | 382060 | 3.6202          |
| 3.2748        | 21.0  | 401163 | 3.6217          |
| 3.245         | 22.0  | 420266 | 3.6219          |
| 3.2191        | 23.0  | 439369 | 3.6204          |
| 3.2025        | 24.0  | 458472 | 3.6215          |
| 3.1865        | 25.0  | 477575 | 3.6220          |
| 3.1822        | 26.0  | 496678 | 3.6230          |
| 3.1517        | 27.0  | 515781 | 3.6226          |
| 3.1351        | 28.0  | 534884 | 3.6243          |
| 3.1255        | 29.0  | 553987 | 3.6253          |
| 3.1096        | 30.0  | 573090 | 3.6254          |
| 3.0966        | 31.0  | 592193 | 3.6264          |
| 3.0827        | 32.0  | 611296 | 3.6267          |


### Framework versions

- Transformers 4.37.2
- Pytorch 2.0.1+cu117
- Datasets 2.16.1
- Tokenizers 0.15.1
