---
library_name: transformers
license: cc-by-nc-4.0
base_model: MCG-NJU/videomae-base
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: shot_model
  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. -->

# shot_model

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: 1.4299
- Accuracy: 0.692

## 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 OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 0.1
- training_steps: 6250

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 1.6227        | 1.0   | 625  | 1.9235          | 0.228    |
| 1.4269        | 2.0   | 1250 | 1.4425          | 0.496    |
| 1.0222        | 3.0   | 1875 | 1.3376          | 0.5      |
| 1.0616        | 4.0   | 2500 | 1.6164          | 0.464    |
| 1.0547        | 5.0   | 3125 | 1.2287          | 0.552    |
| 0.6092        | 6.0   | 3750 | 1.3996          | 0.584    |
| 0.5217        | 7.0   | 4375 | 1.2899          | 0.644    |
| 0.7761        | 8.0   | 5000 | 1.5018          | 0.656    |
| 1.2009        | 9.0   | 5625 | 1.4867          | 0.676    |
| 0.2304        | 10.0  | 6250 | 1.4299          | 0.692    |


### Framework versions

- Transformers 5.3.0
- Pytorch 2.10.0
- Datasets 4.6.1
- Tokenizers 0.22.2