metadata
library_name: transformers
license: cc-by-nc-4.0
base_model: MCG-NJU/videomae-base
tags:
- generated_from_trainer
model-index:
- name: videomae-base-finetuned-ucf101-subset
results: []
videomae-base-finetuned-ucf101-subset
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: 0.4682
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: 148
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 2.1119 | 0.2568 | 38 | 1.9120 |
| 1.1109 | 1.2568 | 76 | 0.9462 |
| 0.5405 | 2.2568 | 114 | 0.6334 |
| 0.3395 | 3.2297 | 148 | 0.4682 |
Framework versions
- Transformers 4.44.2
- Pytorch 2.1.0+cu121
- Datasets 3.0.0
- Tokenizers 0.19.1