videomae-base-finetuned-ucf101-subset
This model is a fine-tuned version of MCG-NJU/videomae-base on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.1034
- Accuracy: 0.9429
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
- training_steps: 148
Training results
Training Loss | Epoch | Step | Validation Loss | Accuracy |
---|---|---|---|---|
No log | 0.03 | 5 | 2.2559 | 0.1143 |
2.2949 | 1.03 | 10 | 2.1762 | 0.1429 |
2.2949 | 2.03 | 15 | 2.0958 | 0.2286 |
2.0288 | 3.03 | 20 | 1.8294 | 0.3 |
2.0288 | 4.03 | 25 | 1.4324 | 0.5857 |
1.3182 | 5.03 | 30 | 1.1143 | 0.6714 |
1.3182 | 6.03 | 35 | 0.8853 | 0.7571 |
0.6119 | 7.03 | 40 | 0.6069 | 0.8143 |
0.6119 | 8.03 | 45 | 0.5380 | 0.8 |
0.3056 | 9.03 | 50 | 0.3780 | 0.8571 |
0.3056 | 10.03 | 55 | 0.3159 | 0.9 |
0.1774 | 11.03 | 60 | 0.3172 | 0.9143 |
0.1774 | 12.03 | 65 | 0.2780 | 0.8857 |
0.1209 | 13.03 | 70 | 0.3128 | 0.8857 |
0.1209 | 14.03 | 75 | 0.3360 | 0.8857 |
0.0805 | 15.03 | 80 | 0.2165 | 0.9143 |
0.0805 | 16.03 | 85 | 0.2362 | 0.9429 |
0.0382 | 17.03 | 90 | 0.2397 | 0.9143 |
0.0382 | 18.03 | 95 | 0.1855 | 0.9 |
0.0268 | 19.03 | 100 | 0.2475 | 0.9 |
0.0268 | 20.03 | 105 | 0.2548 | 0.9143 |
0.0227 | 21.03 | 110 | 0.1521 | 0.9571 |
0.0227 | 22.03 | 115 | 0.1162 | 0.9286 |
0.0168 | 23.03 | 120 | 0.1924 | 0.9429 |
0.0168 | 24.03 | 125 | 0.0873 | 0.9571 |
0.0143 | 25.03 | 130 | 0.1972 | 0.9429 |
0.0143 | 26.03 | 135 | 0.1505 | 0.9429 |
0.0168 | 27.03 | 140 | 0.1022 | 0.9571 |
0.0168 | 28.03 | 145 | 0.1014 | 0.9429 |
0.0168 | 29.02 | 148 | 0.1034 | 0.9429 |
Framework versions
- Transformers 4.30.2
- Pytorch 1.13.0+cu117
- Datasets 2.13.2
- Tokenizers 0.13.3
- Downloads last month
- 2
This model does not have enough activity to be deployed to Inference API (serverless) yet. Increase its social
visibility and check back later, or deploy to Inference Endpoints (dedicated)
instead.