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---
license: cc-by-nc-4.0
base_model: MCG-NJU/videomae-base-finetuned-ssv2
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: videomae-base-finetuned-ssv2-finetuned-samsung-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-ssv2-finetuned-samsung-subset
This model is a fine-tuned version of [MCG-NJU/videomae-base-finetuned-ssv2](https://huggingface.co/MCG-NJU/videomae-base-finetuned-ssv2) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.5762
- Accuracy: 0.8041
## 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: 8
- eval_batch_size: 8
- 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: 408
### Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 1.608 | 0.25 | 103 | 1.5651 | 0.5497 |
| 0.7421 | 1.25 | 206 | 0.9050 | 0.7271 |
| 0.6384 | 2.25 | 309 | 0.6470 | 0.7963 |
| 0.3902 | 3.24 | 408 | 0.5762 | 0.8041 |
### Framework versions
- Transformers 4.32.0
- Pytorch 2.0.1+rocm5.4.2
- Datasets 2.14.4
- Tokenizers 0.13.3
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