metadata
license: cc-by-nc-4.0
base_model: MCG-NJU/videomae-base
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: videomae-base-finetuned-chickenbehaviour
results: []
videomae-base-finetuned-chickenbehaviour
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: 1.1091
- Accuracy: 0.6676
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: 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: 25448
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 1.3916 | 0.12 | 3181 | 1.5101 | 0.5662 |
| 1.566 | 1.12 | 6362 | 1.2704 | 0.6318 |
| 1.5383 | 2.12 | 9543 | 1.2007 | 0.6452 |
| 1.0339 | 3.12 | 12724 | 1.2358 | 0.6450 |
| 1.0752 | 4.12 | 15905 | 1.1753 | 0.6641 |
| 0.7721 | 5.12 | 19086 | 1.1413 | 0.6777 |
| 0.9696 | 6.12 | 22267 | 1.2086 | 0.6733 |
| 0.8068 | 7.12 | 25448 | 1.2041 | 0.6688 |
Framework versions
- Transformers 4.39.1
- Pytorch 2.1.0
- Datasets 2.18.0
- Tokenizers 0.15.2