|
|
--- |
|
|
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: [] |
|
|
--- |
|
|
|
|
|
<!-- This model card has been generated automatically according to the information the Trainer had access to. You |
|
|
should probably proofread and complete it, then remove this comment. --> |
|
|
|
|
|
# Matcha_clips_224_fintuned_4 |
|
|
|
|
|
This model is a fine-tuned version of [MCG-NJU/videomae-base-finetuned-kinetics](https://huggingface.co/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 |
|
|
|
