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MAE-CT-CPC-Dicotomized-n0-m1-v8-1

Video Classification
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MAE-CT-CPC-Dicotomized-n0-m1-v8-1 / README.md
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metadata
library_name: transformers
license: cc-by-nc-4.0
base_model: beingbatman/MAE-CT-CPC-Dicotomized-v8-n0-m1
tags:
  - generated_from_trainer
metrics:
  - accuracy
model-index:
  - name: MAE-CT-CPC-Dicotomized-n0-m1-v8-1
    results: []

MAE-CT-CPC-Dicotomized-n0-m1-v8-1

This model is a fine-tuned version of beingbatman/MAE-CT-CPC-Dicotomized-v8-n0-m1 on an unknown dataset. It achieves the following results on the evaluation set:

  • Loss: 0.8805
  • Accuracy: 0.8372

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: 1e-05
  • train_batch_size: 4
  • eval_batch_size: 4
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • lr_scheduler_warmup_ratio: 0.1
  • training_steps: 3500

Training results

Training Loss Epoch Step Validation Loss Accuracy
0.3313 0.02 70 0.8279 0.6875
0.4602 1.02 140 0.7751 0.6562
0.413 2.02 210 0.9297 0.6562
0.2196 3.02 280 1.3078 0.5938
0.4898 4.02 350 1.2869 0.625
0.1867 5.02 420 1.5884 0.625
0.0394 6.02 490 1.7787 0.625
0.1218 7.02 560 1.7999 0.5938
0.192 8.02 630 1.7295 0.625
0.3974 9.02 700 1.4709 0.6562
0.4529 10.02 770 1.6416 0.625
0.0831 11.02 840 2.0432 0.6875
0.0104 12.02 910 2.1283 0.5938
0.0287 13.02 980 1.8532 0.75
0.0426 14.02 1050 2.0925 0.6875
0.0145 15.02 1120 2.3519 0.625
0.0024 16.02 1190 2.0705 0.625
0.0176 17.02 1260 2.3603 0.625
0.0023 18.02 1330 2.3409 0.6562
0.1111 19.02 1400 2.3461 0.625
0.0002 20.02 1470 2.0998 0.6875
0.0432 21.02 1540 2.2703 0.5938
0.006 22.02 1610 2.3306 0.6562
0.0014 23.02 1680 2.4463 0.625
0.0173 24.02 1750 2.5565 0.6562
0.0001 25.02 1820 2.7107 0.625
0.0001 26.02 1890 3.0925 0.5938
0.1792 27.02 1960 2.5367 0.625
0.0004 28.02 2030 2.9952 0.5625
0.0001 29.02 2100 2.7962 0.625
0.0 30.02 2170 3.1082 0.5938
0.0001 31.02 2240 2.6867 0.625
0.0 32.02 2310 2.6702 0.625
0.0 33.02 2380 3.3403 0.5938
0.0 34.02 2450 3.0539 0.625
0.2031 35.02 2520 2.7333 0.6875
0.0 36.02 2590 2.9420 0.5938
0.0 37.02 2660 2.9199 0.6562
0.0018 38.02 2730 2.8934 0.5938
0.0 39.02 2800 2.8320 0.625
0.0 40.02 2870 2.8381 0.625
0.0 41.02 2940 2.8439 0.625
0.0 42.02 3010 2.8525 0.625
0.0 43.02 3080 2.6921 0.5938
0.0 44.02 3150 2.9580 0.625
0.0 45.02 3220 3.0292 0.5938
0.0 46.02 3290 3.1119 0.625
0.0 47.02 3360 3.1150 0.625
0.0 48.02 3430 3.1127 0.625
0.0 49.02 3500 3.1126 0.625

Framework versions

  • Transformers 4.45.2
  • Pytorch 2.0.1+cu117
  • Datasets 3.0.1
  • Tokenizers 0.20.0