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

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: 0.6192
- Accuracy: 0.8382

## 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: 4
- eval_batch_size: 4
- 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: 925

### Training results

| Training Loss | Epoch  | Step | Validation Loss | Accuracy |
|:-------------:|:------:|:----:|:---------------:|:--------:|
| 0.4491        | 0.2011 | 186  | 0.6939          | 0.7386   |
| 0.5627        | 1.2011 | 372  | 0.6806          | 0.7759   |
| 0.5189        | 2.2011 | 558  | 0.6510          | 0.8174   |
| 0.2503        | 3.2011 | 744  | 0.6732          | 0.8174   |
| 0.0159        | 4.1957 | 925  | 0.6192          | 0.8382   |


### Framework versions

- Transformers 4.41.2
- Pytorch 2.1.0+cpu
- Datasets 2.19.2
- Tokenizers 0.19.1