---
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: Timesformers-d2
  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. -->

# Timesformers-d2

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: 3.1846
- Accuracy: 0.3837

## 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: 6650
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 2.2571        | 0.1   | 665  | 2.3766          | 0.1290   |
| 2.6714        | 1.1   | 1330 | 2.1852          | 0.3322   |
| 2.043         | 2.1   | 1995 | 2.2204          | 0.4194   |
| 1.9388        | 3.1   | 2660 | 2.3677          | 0.3942   |
| 1.0149        | 4.1   | 3325 | 2.7201          | 0.3735   |
| 0.9037        | 5.1   | 3990 | 2.8475          | 0.3990   |
| 0.5886        | 6.1   | 4655 | 3.1694          | 0.2964   |
| 0.0949        | 7.1   | 5320 | 3.3158          | 0.3550   |
| 0.5152        | 8.1   | 5985 | 3.2698          | 0.3849   |
| 0.8404        | 9.1   | 6650 | 3.1846          | 0.3837   |


### Framework versions

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