---
library_name: transformers
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-ucf101-subset
  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-ucf101-subset

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: 0.4148
- Accuracy: 0.8630

## 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: 8
- eval_batch_size: 8
- 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: 3530

### Training results

| Training Loss | Epoch   | Step | Validation Loss | Accuracy |
|:-------------:|:-------:|:----:|:---------------:|:--------:|
| 0.9335        | 0.0989  | 349  | 0.6504          | 0.7532   |
| 0.6968        | 1.0989  | 698  | 0.5347          | 0.7989   |
| 0.5171        | 2.0989  | 1047 | 0.4950          | 0.8298   |
| 0.3982        | 3.0989  | 1396 | 0.4791          | 0.8436   |
| 0.4689        | 4.0989  | 1745 | 0.5896          | 0.8298   |
| 0.4611        | 5.0989  | 2094 | 0.3638          | 0.8809   |
| 0.3267        | 6.0989  | 2443 | 0.4403          | 0.8585   |
| 0.2757        | 7.0989  | 2792 | 0.3612          | 0.8947   |
| 0.2668        | 8.0989  | 3141 | 0.3553          | 0.8915   |
| 0.1432        | 9.0989  | 3490 | 0.3601          | 0.8968   |
| 0.3437        | 10.0113 | 3530 | 0.3581          | 0.8968   |


### Framework versions

- Transformers 4.44.1
- Pytorch 2.0.1+cu117
- Datasets 2.21.0
- Tokenizers 0.19.1