metadata
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: []
convnext_checkpoints
This model is a fine-tuned version of 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