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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: []
---
<!-- 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. -->
# beitv2-base-beans
This model is a fine-tuned version of [timm/beitv2_base_patch16_224.in1k_ft_in22k](https://huggingface.co/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
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