metadata
license: cc-by-nc-4.0
base_model: abduldattijo/videomae-base-finetuned-ucf101-subset
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: videomae-base-finetuned-ucf101-subset-V4KILLER
results: []
videomae-base-finetuned-ucf101-subset-V4KILLER
This model is a fine-tuned version of abduldattijo/videomae-base-finetuned-ucf101-subset on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.2156
- Accuracy: 0.9390
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: 10
- eval_batch_size: 10
- 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: 1010
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 0.5038 | 0.1 | 102 | 0.3170 | 0.8885 |
| 0.4437 | 1.1 | 204 | 0.2099 | 0.9207 |
| 0.4716 | 2.1 | 306 | 0.1865 | 0.9316 |
| 0.4066 | 3.1 | 408 | 0.2122 | 0.9171 |
| 0.193 | 4.1 | 510 | 0.3358 | 0.8943 |
| 0.1657 | 5.1 | 612 | 0.2676 | 0.9232 |
| 0.1507 | 6.1 | 714 | 0.2100 | 0.9282 |
| 0.3165 | 7.1 | 816 | 0.1699 | 0.9535 |
| 0.0733 | 8.1 | 918 | 0.3537 | 0.9280 |
| 0.0851 | 9.09 | 1010 | 0.3110 | 0.9349 |
Framework versions
- Transformers 4.35.2
- Pytorch 2.1.1+cu118
- Datasets 2.15.0
- Tokenizers 0.15.0