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convnext-large-224-attempt-m
This model is a fine-tuned version of facebook/convnext-large-224 on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.0928
- Accuracy: 0.9725
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: 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 | Accuracy |
|---|---|---|---|---|
| 0.4045 | 0.99 | 33 | 0.2494 | 0.9471 |
| 0.143 | 1.98 | 66 | 0.1107 | 0.9641 |
| 0.1086 | 2.98 | 99 | 0.0928 | 0.9725 |
Framework versions
- Transformers 4.27.4
- Pytorch 2.0.1+cu117
- Datasets 2.12.0
- Tokenizers 0.13.3
