---
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: 0.4794
- Accuracy: 0.8340
- F1: 0.8347

## 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: 10
- eval_batch_size: 10
- 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: 370

### Training results

| Training Loss | Epoch  | Step | Validation Loss | Accuracy | F1     |
|:-------------:|:------:|:----:|:---------------:|:--------:|:------:|
| 0.6213        | 0.2027 | 75   | 0.7774          | 0.6971   | 0.6902 |
| 0.3269        | 1.2027 | 150  | 0.6851          | 0.7593   | 0.7562 |
| 0.2339        | 2.2027 | 225  | 0.5252          | 0.8008   | 0.7993 |
| 0.1931        | 3.2027 | 300  | 0.4942          | 0.8340   | 0.8342 |
| 0.1037        | 4.1892 | 370  | 0.4794          | 0.8340   | 0.8347 |


### Framework versions

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