metadata
license: cc-by-nc-4.0
base_model: MCG-NJU/videomae-base-finetuned-kinetics
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: VideoMAEF-finetuned-ARSL-diverse-dataset
results: []
VideoMAEF-finetuned-ARSL-diverse-dataset
This model is a fine-tuned version of MCG-NJU/videomae-base-finetuned-kinetics on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.0012
- Accuracy: 1.0
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: 2.5e-05
- train_batch_size: 2
- eval_batch_size: 2
- 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: 2395
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 1.0485 | 0.12 | 298 | 1.1148 | 0.6854 |
| 0.7256 | 1.12 | 596 | 0.1032 | 1.0 |
| 0.2052 | 2.12 | 894 | 0.0057 | 1.0 |
| 0.0451 | 3.12 | 1192 | 0.0028 | 1.0 |
| 0.1821 | 4.12 | 1490 | 0.0020 | 1.0 |
| 0.0965 | 5.12 | 1788 | 0.0015 | 1.0 |
| 0.0873 | 6.12 | 2086 | 0.0012 | 1.0 |
| 0.0027 | 7.12 | 2384 | 0.0011 | 1.0 |
| 0.1222 | 8.0 | 2395 | 0.0012 | 1.0 |
Framework versions
- Transformers 4.39.3
- Pytorch 2.1.2
- Datasets 2.18.0
- Tokenizers 0.15.2