---
license: apache-2.0
base_model: facebook/convnext-tiny-224
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: Human-action-convnext
  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. -->

# Human-action-convnext

This model is a fine-tuned version of [facebook/convnext-tiny-224](https://huggingface.co/facebook/convnext-tiny-224) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.5382
- Accuracy: 0.8365

## 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: 5e-05
- train_batch_size: 32
- eval_batch_size: 32
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 128
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 12

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 0.7559        | 0.99  | 78   | 0.6921          | 0.7940   |
| 0.6605        | 1.99  | 157  | 0.6305          | 0.8163   |
| 0.5673        | 3.0   | 236  | 0.5968          | 0.8179   |
| 0.4815        | 4.0   | 315  | 0.5834          | 0.8167   |
| 0.4497        | 4.99  | 393  | 0.5617          | 0.8294   |
| 0.4009        | 5.99  | 472  | 0.5505          | 0.8298   |
| 0.3469        | 7.0   | 551  | 0.5466          | 0.8333   |
| 0.3096        | 8.0   | 630  | 0.5417          | 0.8361   |
| 0.3083        | 8.99  | 708  | 0.5450          | 0.8313   |
| 0.333         | 9.99  | 787  | 0.5417          | 0.8345   |
| 0.2979        | 11.0  | 866  | 0.5386          | 0.8377   |
| 0.2469        | 11.89 | 936  | 0.5382          | 0.8365   |


### Framework versions

- Transformers 4.39.3
- Pytorch 2.2.1+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2