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: otuformer
  results: []
---

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# otuformer

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: 3.6862

## 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: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 8

### Training results

| Training Loss | Epoch | Step   | Validation Loss |
|:-------------:|:-----:|:------:|:---------------:|
| 4.2647        | 1.0   | 38206  | 4.2024          |
| 4.0548        | 2.0   | 76412  | 3.9901          |
| 3.9369        | 3.0   | 114618 | 3.8803          |
| 3.8413        | 4.0   | 152824 | 3.8073          |
| 3.7547        | 5.0   | 191030 | 3.7608          |
| 3.6945        | 6.0   | 229236 | 3.7244          |
| 3.6355        | 7.0   | 267442 | 3.6988          |
| 3.6016        | 8.0   | 305648 | 3.6862          |


### Framework versions

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