metadata
license: cc-by-nc-4.0
base_model: sayakpaul/videomae-base-finetuned-kinetics-finetuned-ucf101-subset
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: videomae-base-finetuned-kinetics-finetuned-ucf101-subset-finetuned-N
results: []
videomae-base-finetuned-kinetics-finetuned-ucf101-subset-finetuned-N
This model is a fine-tuned version of sayakpaul/videomae-base-finetuned-kinetics-finetuned-ucf101-subset on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.3578
- Accuracy: 0.8387
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: 77
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 0.9326 | 0.16 | 12 | 0.6945 | 0.6316 |
| 0.5856 | 1.16 | 24 | 0.5931 | 0.5789 |
| 0.3968 | 2.16 | 36 | 0.4350 | 0.7368 |
| 0.362 | 3.16 | 48 | 0.6303 | 0.7105 |
| 0.1438 | 4.16 | 60 | 0.7715 | 0.6842 |
| 0.0632 | 5.16 | 72 | 0.8964 | 0.6579 |
| 0.0632 | 6.06 | 77 | 0.9021 | 0.6842 |
Framework versions
- Transformers 4.35.2
- Pytorch 2.1.0+cu118
- Datasets 2.15.0
- Tokenizers 0.15.0