timesformer-surf-analytics

2nzi/timesformer-surf-analytics

timesformer-surf-analytics is a video classification model from 2nzi. Use it for the video classification task on the model card, and read the license before you ship it in a product. It is set up for transformers. The card lists the license as cc-by-nc-4.0.

should probably proofread and complete it, then remove this comment. --

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At a glance

Task: Video Classification
Library: transformers
License: cc-by-nc-4.0
Model type: timesformer
Access: Public
Created: Jun 6, 2024
Updated: Jun 7, 2024
SHA: fed1adc5

Base models

facebook/timesformer-base-finetuned-k400

Model card

From the Hugging Face model README

videomae-timesformer-surf-analytics

This model is a fine-tuned version of facebook/timesformer-base-finetuned-k400 on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 0.6192
Accuracy: 0.8382

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: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_ratio: 0.1
training_steps: 925

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
0.4491	0.2011	186	0.6939	0.7386
0.5627	1.2011	372	0.6806	0.7759
0.5189	2.2011	558	0.6510	0.8174
0.2503	3.2011	744	0.6732	0.8174
0.0159	4.1957	925	0.6192	0.8382

Framework versions

Transformers 4.41.2
Pytorch 2.1.0+cpu
Datasets 2.19.2
Tokenizers 0.19.1

Task: Video Classification
Library: transformers
Type: timesformer
License: cc-by-nc-4.0
Created: Jun 6, 2024
Updated: Jun 7, 2024