metadata
license: cc-by-nc-4.0
base_model: MCG-NJU/videomae-base-finetuned-kinetics
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: videomae-base-finetuned-kinetics-finetuned-caer-final-4-epochs
results: []
videomae-base-finetuned-kinetics-finetuned-caer-final-4-epochs
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: 1.2269
- Accuracy: 0.5443
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: 6
- eval_batch_size: 6
- 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: 584
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 1.3388 | 0.14 | 82 | 1.4802 | 0.3924 |
| 1.1881 | 1.14 | 164 | 1.3926 | 0.3671 |
| 0.9722 | 2.14 | 246 | 1.2269 | 0.5443 |
| 0.6545 | 3.14 | 328 | 1.2294 | 0.4937 |
| 0.5289 | 4.14 | 410 | 1.3318 | 0.4810 |
| 0.2826 | 5.14 | 492 | 1.2542 | 0.4810 |
| 0.2948 | 6.14 | 574 | 1.2193 | 0.5443 |
| 0.1954 | 7.02 | 584 | 1.2166 | 0.5316 |
Framework versions
- Transformers 4.39.0
- Pytorch 2.1.0
- Datasets 2.18.0
- Tokenizers 0.15.2