results

nzm97/results

results is a machine learning model from nzm97. Use it for the machine learning task on the model card, and read the license before you ship it in a product. 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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Hugging Face

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At a glance

License: cc-by-nc-4.0
Model type: videomae
Access: Public
Created: Sep 10, 2024
Updated: Sep 11, 2024
SHA: c05891fb

Base models

MCG-NJU/videomae-base-finetuned-kinetics

Model card

From the Hugging Face model README

results

This model is a fine-tuned version of MCG-NJU/videomae-base-finetuned-kinetics on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 0.5180

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
gradient_accumulation_steps: 2
total_train_batch_size: 8
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
training_steps: 350
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss
No log	1.0	35	0.7391
No log	2.0	70	1.0082
No log	3.0	105	0.5814
No log	4.0	140	0.5457
No log	5.0	175	0.8502
No log	6.0	210	1.0301
No log	7.0	245	1.7990
No log	8.0	280	1.4917
No log	9.0	315	1.2491
No log	10.0	350	1.6353

Framework versions

Transformers 4.44.0
Pytorch 2.4.0
Datasets 2.21.0
Tokenizers 0.19.1

Type: videomae
License: cc-by-nc-4.0
Created: Sep 10, 2024
Updated: Sep 11, 2024