| --- |
| license: apache-2.0 |
| base_model: facebook/convnext-tiny-224 |
| tags: |
| - generated_from_trainer |
| metrics: |
| - accuracy |
| model-index: |
| - name: convnext-tiny-224-finetuned |
| 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-tiny-224-finetuned |
|
|
| This model is a fine-tuned version of [facebook/convnext-tiny-224](https://huggingface.co/facebook/convnext-tiny-224) on the None dataset. |
| It achieves the following results on the evaluation set: |
| - Loss: 1.3130 |
| - Logloss: 1.3130 |
| - Accuracy: {'accuracy': 0.43} |
|
|
| ## Model description |
|
|
| More information needed |
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|
| ## 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: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
| - lr_scheduler_type: linear |
| - lr_scheduler_warmup_ratio: 0.1 |
| - num_epochs: 3 |
|
|
| ### Training results |
|
|
| | Training Loss | Epoch | Step | Validation Loss | Logloss | Accuracy | |
| |:-------------:|:-----:|:----:|:---------------:|:-------:|:-------------------:| |
| | No log | 0.96 | 6 | 1.4663 | 1.4663 | {'accuracy': 0.42} | |
| | 1.4937 | 1.92 | 12 | 1.3507 | 1.3507 | {'accuracy': 0.445} | |
| | 1.4937 | 2.88 | 18 | 1.3130 | 1.3130 | {'accuracy': 0.43} | |
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|
| ### Framework versions |
|
|
| - Transformers 4.42.4 |
| - Pytorch 2.3.1+cu121 |
| - Datasets 2.21.0 |
| - Tokenizers 0.19.1 |
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|
