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---
license: cc-by-nc-4.0
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: videomae-base-finetuned-ucf101-subset-nimeshbuddhika
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-nimeshbuddhika
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: 0.1097
- Accuracy: 0.9731
## 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: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- training_steps: 1500
### Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 2.4285 | 0.1 | 150 | 2.1186 | 0.2032 |
| 0.9154 | 1.1 | 300 | 1.1913 | 0.6043 |
| 0.4498 | 2.1 | 450 | 0.3770 | 0.8824 |
| 0.3012 | 3.1 | 600 | 0.3904 | 0.8663 |
| 0.1458 | 4.1 | 750 | 0.8938 | 0.7968 |
| 0.0464 | 5.1 | 900 | 0.6181 | 0.8556 |
| 0.0274 | 6.1 | 1050 | 0.7182 | 0.8075 |
| 0.0022 | 7.1 | 1200 | 0.4525 | 0.8717 |
| 0.0302 | 8.1 | 1350 | 0.3172 | 0.9091 |
| 0.0166 | 9.1 | 1500 | 0.2898 | 0.8984 |
### Framework versions
- Transformers 4.30.2
- Pytorch 2.0.0
- Datasets 2.1.0
- Tokenizers 0.13.3
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