---
library_name: transformers
license: apache-2.0
base_model: facebook/convnextv2-tiny-1k-224
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: swept-brook-197
  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. -->

# swept-brook-197

This model is a fine-tuned version of [facebook/convnextv2-tiny-1k-224](https://huggingface.co/facebook/convnextv2-tiny-1k-224) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.6066
- Accuracy: 0.7402

## 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: 0.0001
- train_batch_size: 256
- eval_batch_size: 256
- seed: 42
- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: cosine
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 15

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 1.1424        | 1.0   | 18   | 0.9758          | 0.5527   |
| 0.937         | 2.0   | 36   | 0.8802          | 0.5488   |
| 0.9044        | 3.0   | 54   | 0.9013          | 0.5215   |
| 0.8604        | 4.0   | 72   | 0.8435          | 0.5781   |
| 0.8388        | 5.0   | 90   | 0.8415          | 0.5859   |
| 0.8287        | 6.0   | 108  | 0.9338          | 0.5098   |
| 0.8042        | 7.0   | 126  | 0.7766          | 0.6152   |
| 0.7452        | 8.0   | 144  | 0.7439          | 0.6328   |
| 0.701         | 9.0   | 162  | 0.7072          | 0.6543   |
| 0.6725        | 10.0  | 180  | 0.6605          | 0.7070   |
| 0.6326        | 11.0  | 198  | 0.6436          | 0.7012   |
| 0.6066        | 12.0  | 216  | 0.6437          | 0.7129   |
| 0.5878        | 13.0  | 234  | 0.6104          | 0.7461   |
| 0.5813        | 14.0  | 252  | 0.6086          | 0.7344   |
| 0.5753        | 15.0  | 270  | 0.6066          | 0.7402   |


### Framework versions

- Transformers 4.52.3
- Pytorch 2.7.0+cpu
- Datasets 3.6.0
- Tokenizers 0.21.0