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swin-tiny-patch4-window7-224_alpha0.7_temp3.0_t3

Image Classification
Transformers
Safetensors
swin
knowledge_distillation
vision
Generated from Trainer
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metadata
library_name: transformers
license: apache-2.0
base_model: c14kevincardenas/ClimBEiT-t3
tags:
  - knowledge_distillation
  - vision
  - generated_from_trainer
metrics:
  - accuracy
model-index:
  - name: swin-tiny-patch4-window7-224_alpha0.7_temp3.0_t3
    results: []

swin-tiny-patch4-window7-224_alpha0.7_temp3.0_t3

This model is a fine-tuned version of c14kevincardenas/ClimBEiT-t3 on the c14kevincardenas/beta_caller_284_person_crop_seq_withlimb dataset. It achieves the following results on the evaluation set:

  • Loss: 0.7700
  • Accuracy: 0.7961

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
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • lr_scheduler_warmup_ratio: 0.1
  • num_epochs: 20

Training results

Training Loss Epoch Step Validation Loss Accuracy
0.5659 1.0 164 1.4280 0.2636
0.5111 2.0 328 1.3040 0.3720
0.4093 3.0 492 0.9968 0.6356
0.3598 4.0 656 0.9535 0.6443
0.3284 5.0 820 0.8426 0.7256
0.2933 6.0 984 0.8269 0.7657
0.2734 7.0 1148 0.8815 0.6952
0.2679 8.0 1312 0.8079 0.7679
0.2574 9.0 1476 0.7823 0.7863
0.2403 10.0 1640 0.7833 0.7907
0.2376 11.0 1804 0.7851 0.7852
0.2399 12.0 1968 0.7966 0.7939
0.231 13.0 2132 0.7956 0.7766
0.2351 14.0 2296 0.7793 0.7918
0.2344 15.0 2460 0.7700 0.7961
0.232 16.0 2624 0.7845 0.7907
0.2318 17.0 2788 0.7930 0.7918
0.2241 18.0 2952 0.7814 0.7885
0.2291 19.0 3116 0.7901 0.7820
0.2227 20.0 3280 0.7854 0.7885

Framework versions

  • Transformers 4.45.2
  • Pytorch 2.5.0+cu124
  • Datasets 3.0.1
  • Tokenizers 0.20.1