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---
library_name: transformers
license: cc-by-nc-4.0
base_model: MCG-NJU/videomae-small-finetuned-kinetics
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: videomae-small-finetuned-kinetics-finetuned-2
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-small-finetuned-kinetics-finetuned-2
This model is a fine-tuned version of [MCG-NJU/videomae-small-finetuned-kinetics](https://huggingface.co/MCG-NJU/videomae-small-finetuned-kinetics) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.6633
- Accuracy: 0.7652
## 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: 32
- eval_batch_size: 32
- 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: 2260
### Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:------:|:----:|:---------------:|:--------:|
| 0.9644 | 0.1004 | 227 | 0.9733 | 0.5777 |
| 0.8823 | 1.1004 | 454 | 0.8691 | 0.6676 |
| 0.826 | 2.1004 | 681 | 0.8010 | 0.7094 |
| 0.7422 | 3.1004 | 908 | 0.7514 | 0.7371 |
| 0.7206 | 4.1004 | 1135 | 0.7170 | 0.7508 |
| 0.6806 | 5.1004 | 1362 | 0.6924 | 0.7543 |
| 0.6826 | 6.1004 | 1589 | 0.6757 | 0.7585 |
| 0.6756 | 7.1004 | 1816 | 0.6652 | 0.7631 |
| 0.6964 | 8.1004 | 2043 | 0.6591 | 0.7655 |
| 0.6943 | 9.0960 | 2260 | 0.6571 | 0.7666 |
### Framework versions
- Transformers 4.47.1
- Pytorch 2.5.0+cu124
- Datasets 3.2.0
- Tokenizers 0.21.0
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