metadata
library_name: transformers
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: 0.3482
- 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: 5e-05
- train_batch_size: 8
- eval_batch_size: 8
- 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: 8
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| No log | 0.125 | 1 | 0.6633 | 0.5 |
| No log | 1.125 | 2 | 0.5622 | 0.75 |
| No log | 2.125 | 3 | 0.4896 | 0.85 |
| No log | 3.125 | 4 | 0.4415 | 0.95 |
| No log | 4.125 | 5 | 0.4049 | 1.0 |
| No log | 5.125 | 6 | 0.3768 | 1.0 |
| No log | 6.125 | 7 | 0.3576 | 1.0 |
| No log | 7.125 | 8 | 0.3482 | 1.0 |
Framework versions
- Transformers 4.44.2
- Pytorch 2.3.1+cu118
- Datasets 2.21.0
- Tokenizers 0.19.1