transformers tensorboard safetensors timesformer video-classification generated_from_trainer base_model:facebook/timesformer-base-finetuned-k400 license:cc-by-nc-4.0 endpoints_compatible region:us
---
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-kinetic400-subset-epoch6-num_frame_10
  results: []
---

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# timesformer-base-finetuned-k400-finetuned-kinetic400-subset-epoch6-num_frame_10

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: 0.6528
- Accuracy: 0.8924

## 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: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- training_steps: 300

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 0.204         | 0.17  | 50   | 0.5932          | 0.8512   |
| 0.3192        | 1.17  | 100  | 1.0445          | 0.7738   |
| 0.0072        | 2.17  | 150  | 0.2796          | 0.8929   |
| 0.2034        | 3.17  | 200  | 0.6142          | 0.8690   |
| 0.0004        | 4.17  | 250  | 0.6566          | 0.8690   |
| 0.0005        | 5.17  | 300  | 0.6627          | 0.8512   |


### Framework versions

- Transformers 4.38.1
- Pytorch 2.1.0+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2
