---
license: cc-by-nc-4.0
base_model: facebook/timesformer-base-finetuned-k400
tags:
- generated_from_trainer
metrics:
- accuracy
- f1
model-index:
- name: videomae-surf-analytics-runpod
  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-surf-analytics-runpod

This model is a fine-tuned version of [facebook/timesformer-base-finetuned-k400](https://huggingface.co/facebook/timesformer-base-finetuned-k400) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.4027
- Accuracy: 0.8838
- F1: 0.8838

## 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: 12
- eval_batch_size: 12
- 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: 610

### Training results

| Training Loss | Epoch  | Step | Validation Loss | Accuracy | F1     |
|:-------------:|:------:|:----:|:---------------:|:--------:|:------:|
| 0.6712        | 0.1016 | 62   | 0.8671          | 0.6680   | 0.6623 |
| 0.3119        | 1.1016 | 124  | 0.5911          | 0.7884   | 0.7887 |
| 0.2505        | 2.1016 | 186  | 0.5297          | 0.8008   | 0.8002 |
| 0.207         | 3.1016 | 248  | 0.5970          | 0.7801   | 0.7787 |
| 0.1743        | 4.1016 | 310  | 0.5612          | 0.8050   | 0.7984 |
| 0.1005        | 5.1016 | 372  | 0.4027          | 0.8838   | 0.8838 |
| 0.0147        | 6.1016 | 434  | 0.4360          | 0.8589   | 0.8573 |
| 0.0573        | 7.1016 | 496  | 0.4451          | 0.8714   | 0.8697 |
| 0.0143        | 8.1016 | 558  | 0.4099          | 0.8672   | 0.8666 |
| 0.1311        | 9.0852 | 610  | 0.4056          | 0.8755   | 0.8752 |


### Framework versions

- Transformers 4.41.2
- Pytorch 2.3.1+cu121
- Datasets 2.19.2
- Tokenizers 0.19.1