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---
library_name: transformers
license: apache-2.0
base_model: facebook/convnext-base-224-22k
tags:
- image-classification
- vision
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: Validated_Balanced_Raw_Data_model_boost7
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. -->
# Validated_Balanced_Raw_Data_model_boost7
This model is a fine-tuned version of [facebook/convnext-base-224-22k](https://huggingface.co/facebook/convnext-base-224-22k) on the Logiroad/Validated_Balanced_Raw_Dataset dataset.
It achieves the following results on the evaluation set:
- Loss: 1.1008
- Accuracy: 0.5425
## 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: 1.5e-05
- train_batch_size: 16
- eval_batch_size: 16
- seed: 1337
- 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: 0.05
- num_epochs: 25.0
- label_smoothing_factor: 0.05
### Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| No log | 1.0 | 40 | 1.3316 | 0.3491 |
| 1.3694 | 2.0 | 80 | 1.2695 | 0.3726 |
| 1.291 | 3.0 | 120 | 1.2237 | 0.4151 |
| 1.2374 | 4.0 | 160 | 1.1886 | 0.4481 |
| 1.1815 | 5.0 | 200 | 1.1870 | 0.4387 |
| 1.1815 | 6.0 | 240 | 1.1726 | 0.4717 |
| 1.1479 | 7.0 | 280 | 1.1224 | 0.4858 |
| 1.0818 | 8.0 | 320 | 1.1309 | 0.4717 |
| 1.0507 | 9.0 | 360 | 1.1351 | 0.4811 |
| 1.0198 | 10.0 | 400 | 1.1314 | 0.5189 |
| 1.0198 | 11.0 | 440 | 1.1235 | 0.5047 |
| 1.0075 | 12.0 | 480 | 1.1136 | 0.5283 |
| 0.9692 | 13.0 | 520 | 1.1230 | 0.5094 |
| 0.919 | 14.0 | 560 | 1.1158 | 0.5 |
| 0.9306 | 15.0 | 600 | 1.1089 | 0.5236 |
| 0.9306 | 16.0 | 640 | 1.1008 | 0.5425 |
| 0.89 | 17.0 | 680 | 1.1071 | 0.5236 |
| 0.8853 | 18.0 | 720 | 1.1110 | 0.5236 |
| 0.8852 | 19.0 | 760 | 1.1026 | 0.5330 |
| 0.824 | 20.0 | 800 | 1.1056 | 0.5377 |
| 0.824 | 21.0 | 840 | 1.1088 | 0.5283 |
| 0.8327 | 22.0 | 880 | 1.1065 | 0.5283 |
| 0.832 | 23.0 | 920 | 1.1063 | 0.5330 |
| 0.8801 | 24.0 | 960 | 1.1065 | 0.5330 |
| 0.8372 | 25.0 | 1000 | 1.1065 | 0.5330 |
### Framework versions
- Transformers 4.46.1
- Pytorch 2.3.0
- Datasets 3.1.0
- Tokenizers 0.20.3
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