metadata
library_name: transformers
license: cc-by-nc-4.0
base_model: MCG-NJU/videomae-base
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: videomae-base-furtos
results: []
videomae-base-furtos
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: 0.3726
- Accuracy: 0.95
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: 64
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| No log | 0.125 | 8 | 0.7644 | 0.4 |
| 0.7578 | 1.125 | 16 | 0.8079 | 0.55 |
| 0.6084 | 2.125 | 24 | 0.7155 | 0.55 |
| 0.6016 | 3.125 | 32 | 0.6016 | 0.6 |
| 0.5236 | 4.125 | 40 | 0.6041 | 0.65 |
| 0.5236 | 5.125 | 48 | 0.4796 | 0.75 |
| 0.547 | 6.125 | 56 | 0.3917 | 0.95 |
| 0.4097 | 7.125 | 64 | 0.3726 | 0.95 |
Framework versions
- Transformers 4.44.2
- Pytorch 2.3.1+cu118
- Datasets 2.21.0
- Tokenizers 0.19.1