metadata
library_name: transformers
license: cc-by-nc-4.0
base_model: MCG-NJU/videomae-base-finetuned-kinetics
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: Matcha_clips_224_fintuned_4
results: []
Matcha_clips_224_fintuned_4
This model is a fine-tuned version of MCG-NJU/videomae-base-finetuned-kinetics on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 1.3148
- Accuracy: 0.6951
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: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- training_steps: 1150
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 1.7589 | 0.1 | 115 | 1.4438 | 0.5244 |
| 0.8991 | 1.1 | 230 | 1.0762 | 0.6220 |
| 0.2382 | 2.1 | 345 | 0.9143 | 0.6951 |
| 0.1739 | 3.1 | 460 | 1.1205 | 0.6585 |
| 0.0291 | 4.1 | 575 | 1.1838 | 0.7195 |
| 0.0048 | 5.1 | 690 | 1.1936 | 0.7073 |
| 0.0009 | 6.1 | 805 | 1.2866 | 0.6951 |
| 0.0007 | 7.1 | 920 | 1.3004 | 0.6951 |
| 0.0007 | 8.1 | 1035 | 1.3122 | 0.6951 |
| 0.0006 | 9.1 | 1150 | 1.3148 | 0.6951 |
Framework versions
- Transformers 4.51.3
- Pytorch 2.3.1+cu121
- Datasets 3.6.0
- Tokenizers 0.21.1