---
license: cc-by-nc-4.0
base_model: facebook/timesformer-base-finetuned-k400
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: timesformer-base-finetuned-k400-finetuned-ElderReact-anger-balanced
  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. -->

# timesformer-base-finetuned-k400-finetuned-ElderReact-anger-balanced

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: 0.8048
- Accuracy: 0.5012

## 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: 16
- eval_batch_size: 16
- 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: 240

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 0.6923        | 0.1   | 25   | 0.8338          | 0.4601   |
| 0.6436        | 1.1   | 50   | 0.9187          | 0.5058   |
| 0.5464        | 2.1   | 75   | 0.8165          | 0.5313   |
| 0.4147        | 3.1   | 100  | 0.9950          | 0.5228   |
| 0.4483        | 4.1   | 125  | 1.0642          | 0.5080   |
| 0.3565        | 5.1   | 150  | 0.8611          | 0.5143   |
| 0.3114        | 6.1   | 175  | 0.9595          | 0.5186   |
| 0.3074        | 7.1   | 200  | 1.0242          | 0.5197   |
| 0.2888        | 8.1   | 225  | 1.1212          | 0.5069   |
| 0.2609        | 9.06  | 240  | 1.1119          | 0.5112   |


### Framework versions

- Transformers 4.38.2
- Pytorch 2.1.0+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2