---
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-Timesformer-d1
  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-Timesformer-d1

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: 1.3666
- Accuracy: 0.7858

## 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: 1
- eval_batch_size: 1
- seed: 42
- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- training_steps: 12010
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step  | Validation Loss | Accuracy |
|:-------------:|:-----:|:-----:|:---------------:|:--------:|
| 0.175         | 0.1   | 1201  | 2.3533          | 0.6138   |
| 1.0596        | 1.1   | 2402  | 2.0203          | 0.6365   |
| 0.4307        | 2.1   | 3603  | 1.3942          | 0.7236   |
| 0.0014        | 3.1   | 4804  | 1.6228          | 0.7173   |
| 1.0661        | 4.1   | 6005  | 1.5961          | 0.6632   |
| 0.0005        | 5.1   | 7206  | 1.6165          | 0.7348   |
| 0.56          | 6.1   | 8407  | 1.5308          | 0.7403   |
| 1.1296        | 7.1   | 9608  | 1.4128          | 0.7527   |
| 0.8918        | 8.1   | 10809 | 1.4968          | 0.7841   |
| 0.6107        | 9.1   | 12010 | 1.3666          | 0.7858   |


### Framework versions

- Transformers 4.46.2
- Pytorch 2.5.1+cu124
- Datasets 3.1.0
- Tokenizers 0.20.3