---
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: abcd
  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. -->

# abcd

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: 0.7002
- Accuracy: 0.7887

## 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: 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: 552

### Training results

| Training Loss | Epoch  | Step | Validation Loss | Accuracy |
|:-------------:|:------:|:----:|:---------------:|:--------:|
| 1.1325        | 0.1685 | 93   | 1.0676          | 0.5568   |
| 0.738         | 1.1685 | 186  | 1.2091          | 0.5499   |
| 0.6397        | 2.1685 | 279  | 1.2484          | 0.6116   |
| 0.4395        | 3.1685 | 372  | 1.0140          | 0.6427   |
| 0.3098        | 4.1685 | 465  | 0.9757          | 0.6830   |
| 0.1016        | 5.1576 | 552  | 0.7179          | 0.7589   |


### Framework versions

- Transformers 4.51.3
- Pytorch 2.6.0+cu118
- Datasets 3.3.2
- Tokenizers 0.21.1