| --- |
| library_name: transformers |
| license: apache-2.0 |
| base_model: facebook/convnextv2-large-22k-224 |
| tags: |
| - generated_from_trainer |
| metrics: |
| - accuracy |
| model-index: |
| - name: convnext_checkpoints |
| 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. --> |
|
|
| # convnext_checkpoints |
| |
| This model is a fine-tuned version of [facebook/convnextv2-large-22k-224](https://huggingface.co/facebook/convnextv2-large-22k-224) on the None dataset. |
| It achieves the following results on the evaluation set: |
| - Loss: 0.0132 |
| - Accuracy: 0.9966 |
| |
| ## 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 | |
| |:-------------:|:-----:|:----:|:---------------:|:--------:| |
| | 0.0360 | 1.0 | 250 | 0.0252 | 0.9922 | |
| | 0.0347 | 2.0 | 500 | 0.0358 | 0.9870 | |
| | 0.0108 | 3.0 | 750 | 0.0132 | 0.9966 | |
|
|
|
|
| ### Framework versions |
|
|
| - Transformers 5.3.0 |
| - Pytorch 2.10.0+cu128 |
| - Datasets 4.6.1 |
| - Tokenizers 0.22.2 |
|
|
