| --- |
| library_name: transformers |
| base_model: MCG-NJU/videomae-base |
| tags: |
| - generated_from_trainer |
| model-index: |
| - name: videomae-base-readminds-assignment |
| 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. --> |
|
|
| # videomae-base-readminds-assignment |
|
|
| This model is a fine-tuned version of [MCG-NJU/videomae-base](https://huggingface.co/MCG-NJU/videomae-base) on an unknown dataset. |
| It achieves the following results on the evaluation set: |
| - Loss: 1.5827 |
|
|
| ## 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: 2 |
| - eval_batch_size: 2 |
| - seed: 42 |
| - optimizer: Use 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: 100 |
| |
| ### Training results |
| |
| | Training Loss | Epoch | Step | Validation Loss | |
| |:-------------:|:-----:|:----:|:---------------:| |
| | 1.5236 | 0.12 | 12 | 1.4575 | |
| | 1.1957 | 1.12 | 24 | 1.4403 | |
| | 0.7669 | 2.12 | 36 | 1.4573 | |
| | 0.4632 | 3.12 | 48 | 1.5034 | |
| | 0.299 | 4.12 | 60 | 1.5987 | |
| | 0.1672 | 5.12 | 72 | 1.5975 | |
| | 0.0682 | 6.12 | 84 | 1.5670 | |
| | 0.0324 | 7.12 | 96 | 1.5827 | |
| | 0.0155 | 8.04 | 100 | 1.5827 | |
| |
| |
| ### Framework versions |
| |
| - Transformers 4.46.2 |
| - Pytorch 2.5.1+cu121 |
| - Datasets 3.1.0 |
| - Tokenizers 0.20.0 |
| |
