---
library_name: transformers
license: mit
base_model: gpt2
tags:
- generated_from_trainer
model-index:
- name: general_model_no_sports_v7_100_000
  results: []
datasets:
- AdoCleanCode/general_train_dataset_no_sports
language:
- en
---

<!-- 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. -->

# general_model_no_sports_v7_100_000

This model is a fine-tuned version of [gpt2](https://huggingface.co/gpt2) on a [COCO subset](https://huggingface.co/AdoCleanCode/general_train_dataset_no_sports) with labeling: Label 0: No physical activity, Label 1: Related to physical activity.
It achieves the following results on the evaluation set:
- Loss: 0.8762

## 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: 8
- eval_batch_size: 16
- seed: 42
- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 1000
- num_epochs: 5
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step  | Validation Loss |
|:-------------:|:-----:|:-----:|:---------------:|
| 1.1166        | 1.0   | 4431  | 1.0106          |
| 0.9943        | 2.0   | 8862  | 0.9314          |
| 0.9394        | 3.0   | 13293 | 0.8984          |
| 0.9068        | 4.0   | 17724 | 0.8823          |
| 0.8828        | 5.0   | 22155 | 0.8762          |


### Framework versions

- Transformers 4.46.3
- Pytorch 2.1.2+cu121
- Datasets 2.19.1
- Tokenizers 0.20.3