| | --- |
| | license: apache-2.0 |
| | base_model: facebook/convnext-large-224-22k-1k |
| | tags: |
| | - generated_from_trainer |
| | datasets: |
| | - imagenet_10 |
| | metrics: |
| | - accuracy |
| | model-index: |
| | - name: image_classification |
| | results: |
| | - task: |
| | name: Image Classification |
| | type: image-classification |
| | dataset: |
| | name: imagenet_10 |
| | type: imagenet_10 |
| | config: default |
| | split: train[:7000] |
| | args: default |
| | metrics: |
| | - name: Accuracy |
| | type: accuracy |
| | value: 0.9942857142857143 |
| | --- |
| | |
| | <!-- 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. --> |
| |
|
| | # image_classification |
| | |
| | This model is a fine-tuned version of [facebook/convnext-large-224-22k-1k](https://huggingface.co/facebook/convnext-large-224-22k-1k) on the imagenet_10 dataset. |
| | It achieves the following results on the evaluation set: |
| | - Loss: 0.0357 |
| | - Accuracy: 0.9943 |
| |
|
| | ## 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: 17 |
| | - eval_batch_size: 17 |
| | - seed: 42 |
| | - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
| | - lr_scheduler_type: linear |
| | - num_epochs: 10 |
| |
|
| | ### Training results |
| |
|
| | | Training Loss | Epoch | Step | Validation Loss | Accuracy | |
| | |:-------------:|:-----:|:----:|:---------------:|:--------:| |
| | | No log | 1.0 | 330 | 0.0637 | 0.9843 | |
| | | 0.0602 | 2.0 | 660 | 0.0664 | 0.9821 | |
| | | 0.0602 | 3.0 | 990 | 0.0843 | 0.9843 | |
| | | 0.0468 | 4.0 | 1320 | 0.0452 | 0.9879 | |
| | | 0.0313 | 5.0 | 1650 | 0.0347 | 0.9914 | |
| | | 0.0313 | 6.0 | 1980 | 0.0432 | 0.9914 | |
| | | 0.0232 | 7.0 | 2310 | 0.0314 | 0.99 | |
| | | 0.0223 | 8.0 | 2640 | 0.0337 | 0.9921 | |
| | | 0.0223 | 9.0 | 2970 | 0.0381 | 0.99 | |
| | | 0.0177 | 10.0 | 3300 | 0.0321 | 0.9921 | |
| |
|
| |
|
| | ### Framework versions |
| |
|
| | - Transformers 4.33.3 |
| | - Pytorch 2.0.1+cu118 |
| | - Datasets 2.14.5 |
| | - Tokenizers 0.13.3 |
| |
|
