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metadata
library_name: transformers
license: apache-2.0
base_model: c14kevincardenas/ClimBEiTv2
tags:
  - knowledge_distillation
  - vision
  - generated_from_trainer
metrics:
  - accuracy
model-index:
  - name: mobilevit-small_alpha0.7_temp3.0
    results: []

mobilevit-small_alpha0.7_temp3.0

This model is a fine-tuned version of c14kevincardenas/ClimBEiTv2 on the c14kevincardenas/beta_caller_284_person_crop_seq_withlimb_2 dataset. It achieves the following results on the evaluation set:

  • Loss: 0.8524
  • Accuracy: 0.6660

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: 64
  • eval_batch_size: 64
  • 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
1.1499 1.0 90 1.4251 0.2460
1.0997 2.0 180 1.3384 0.3251
1.0075 3.0 270 1.2409 0.3864
0.8689 4.0 360 1.0919 0.4980
0.7581 5.0 450 1.0005 0.5652
0.7002 6.0 540 0.9315 0.6038
0.6484 7.0 630 0.9005 0.6166
0.6085 8.0 720 0.9252 0.5988
0.5562 9.0 810 0.8605 0.6630
0.5352 10.0 900 0.8696 0.6265
0.514 11.0 990 0.8557 0.6571
0.4819 12.0 1080 0.8793 0.6294
0.4538 13.0 1170 0.8856 0.6354
0.4382 14.0 1260 0.8554 0.6581
0.4349 15.0 1350 0.8707 0.6393
0.4122 16.0 1440 0.8568 0.6640
0.4101 17.0 1530 0.8540 0.6630
0.3922 18.0 1620 0.8543 0.6621
0.3929 19.0 1710 0.8524 0.6660
0.3965 20.0 1800 0.8661 0.6512

Framework versions

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