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---
license: cc-by-nc-4.0
base_model: MCG-NJU/videomae-base
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: videomae-base-finetuned-ucf101-subset
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-finetuned-ucf101-subset
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: 0.0597
- Accuracy: 0.9857
## 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: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- training_steps: 600
### Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 1.994 | 0.12 | 75 | 1.7537 | 0.4429 |
| 1.1229 | 1.12 | 150 | 0.6333 | 0.7714 |
| 0.4459 | 2.12 | 225 | 0.5334 | 0.7429 |
| 0.4052 | 3.12 | 300 | 0.4663 | 0.8429 |
| 0.2089 | 4.12 | 375 | 0.4041 | 0.9 |
| 0.0095 | 5.12 | 450 | 0.0874 | 0.9857 |
| 0.0059 | 6.12 | 525 | 0.0583 | 0.9857 |
| 0.0053 | 7.12 | 600 | 0.0597 | 0.9857 |
### Framework versions
- Transformers 4.39.3
- Pytorch 2.1.2
- Datasets 2.18.0
- Tokenizers 0.15.2
|