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library_name: transformers
license: apache-2.0
base_model: facebook/convnextv2-large-22k-224
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: mar_20_class_split_with_class_weights
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. -->
# mar_20_class_split_with_class_weights
This model is a fine-tuned version of [facebook/convnextv2-large-22k-224](https://huggingface.co/facebook/convnextv2-large-22k-224) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0521
- Accuracy: 0.9837
## 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: Use adamw_torch_fused 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: 0.1
- num_epochs: 3
### Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 0.2872 | 1.0 | 278 | 0.1018 | 0.9686 |
| 0.1915 | 2.0 | 556 | 0.0686 | 0.9774 |
| 0.1405 | 3.0 | 834 | 0.0521 | 0.9837 |
### Framework versions
- Transformers 5.3.0
- Pytorch 2.10.0+cu128
- Datasets 4.6.1
- Tokenizers 0.22.2
|