transformers tensorboard safetensors timesformer video-classification generated_from_trainer base_model:facebook/timesformer-base-finetuned-k600 license:cc-by-nc-4.0 endpoints_compatible region:us
---
license: cc-by-nc-4.0
base_model: facebook/timesformer-base-finetuned-k600
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: model_timesformer_batch16_gas4
  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. -->

# model_timesformer_batch16_gas4

This model is a fine-tuned version of [facebook/timesformer-base-finetuned-k600](https://huggingface.co/facebook/timesformer-base-finetuned-k600) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 1.6371
- Accuracy: 0.5365

## 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: 3000

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 1.649         | 0.33  | 1000 | 1.7987          | 0.49     |
| 1.541         | 1.33  | 2000 | 1.6730          | 0.5215   |
| 1.1614        | 2.33  | 3000 | 1.6371          | 0.5365   |


### Framework versions

- Transformers 4.38.1
- Pytorch 2.1.2
- Datasets 2.1.0
- Tokenizers 0.15.2
