transformers tensorboard 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: model
  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. -->

# model

This model is a fine-tuned version of [gpt2](https://huggingface.co/gpt2) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 3.5952

## 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-06
- train_batch_size: 4
- eval_batch_size: 4
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- training_steps: 10000

### Training results

| Training Loss | Epoch | Step  | Validation Loss |
|:-------------:|:-----:|:-----:|:---------------:|
| 3.8102        | 0.14  | 500   | 3.6588          |
| 3.7552        | 0.27  | 1000  | 3.6436          |
| 3.7437        | 0.41  | 1500  | 3.6327          |
| 3.7243        | 0.55  | 2000  | 3.6255          |
| 3.7095        | 0.68  | 2500  | 3.6187          |
| 3.6972        | 0.82  | 3000  | 3.6148          |
| 3.6993        | 0.96  | 3500  | 3.6104          |
| 3.6896        | 1.09  | 4000  | 3.6069          |
| 3.6824        | 1.23  | 4500  | 3.6051          |
| 3.674         | 1.37  | 5000  | 3.6024          |
| 3.6823        | 1.5   | 5500  | 3.6015          |
| 3.6823        | 1.64  | 6000  | 3.6002          |
| 3.6687        | 1.78  | 6500  | 3.5988          |
| 3.6759        | 1.92  | 7000  | 3.5974          |
| 3.6735        | 2.05  | 7500  | 3.5968          |
| 3.6571        | 2.19  | 8000  | 3.5961          |
| 3.6575        | 2.33  | 8500  | 3.5959          |
| 3.6757        | 2.46  | 9000  | 3.5955          |
| 3.6749        | 2.6   | 9500  | 3.5952          |
| 3.6662        | 2.74  | 10000 | 3.5952          |


### Framework versions

- Transformers 4.35.2
- Pytorch 2.1.0+cu118
- Datasets 2.15.0
- Tokenizers 0.15.0
