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---
library_name: transformers
license: apache-2.0
base_model: facebook/convnext-tiny-224
tags:
- generated_from_trainer
metrics:
- accuracy
- precision
- recall
- f1
model-index:
- name: dark-pond-236
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. -->
# dark-pond-236
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: 0.1304
- Accuracy: 0.9611
- Precision: 0.9611
- Recall: 0.9611
- F1: 0.9611
- Roc Auc: 0.9990
## 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: 5
### Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | Precision | Recall | F1 | Roc Auc |
|:-------------:|:-----:|:----:|:---------------:|:--------:|:---------:|:------:|:------:|:-------:|
| 1.4605 | 1.0 | 161 | 0.4303 | 0.8863 | 0.8910 | 0.8863 | 0.8860 | 0.9934 |
| 0.6333 | 2.0 | 322 | 0.2051 | 0.9418 | 0.9423 | 0.9418 | 0.9418 | 0.9980 |
| 0.5099 | 3.0 | 483 | 0.1538 | 0.9539 | 0.9540 | 0.9539 | 0.9538 | 0.9987 |
| 0.4501 | 4.0 | 644 | 0.1353 | 0.9606 | 0.9605 | 0.9606 | 0.9605 | 0.9989 |
| 0.4281 | 5.0 | 805 | 0.1304 | 0.9611 | 0.9611 | 0.9611 | 0.9611 | 0.9990 |
### Framework versions
- Transformers 4.52.3
- Pytorch 2.7.0+cpu
- Datasets 3.6.0
- Tokenizers 0.21.0
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