metadata
library_name: transformers
license: apache-2.0
base_model: timm/beitv2_base_patch16_224.in1k_ft_in22k
tags:
- timm
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: beitv2-base-beans
results: []
beitv2-base-beans
This model is a fine-tuned version of timm/beitv2_base_patch16_224.in1k_ft_in22k on an unknown dataset. It achieves the following results on the evaluation set:
- Accuracy: 0.9232
- Loss: 0.3161
- Num Input Tokens Seen: 0
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: 7.8125e-05
- train_batch_size: 160
- eval_batch_size: 160
- seed: 1337
- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: cosine
- lr_scheduler_warmup_steps: 20360
- num_epochs: 100.0
Training results
Framework versions
- Transformers 4.57.0.dev0
- Pytorch 2.7.1+cu126
- Datasets 4.0.0
- Tokenizers 0.22.0