profesor_MViT_O_UCFCRIME

DanJoshua/profesor_MViT_O_UCFCRIME

profesor_MViT_O_UCFCRIME is a machine learning model from DanJoshua. Use it for the machine learning task on the model card, and read the license before you ship it in a product. It is set up for transformers.

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

Downloads · 30 days

27% of all-time downloads

All-time downloads

Public

Parameters

34.3M

549 MB on disk

Likes

Public

Hugging Face

Repo makeup

Click a slice to open those files.

.safetensors137 MB · 100%

At a glance

Library: transformers
Access: Public
Created: Oct 31, 2024
Updated: Oct 31, 2024
SHA: 2cb0471e

Model card

From the Hugging Face model README

profesor_MViT_O_UCFCRIME

This model is a fine-tuned version of on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 0.6919
Accuracy: 0.5344
F1: 0.5379
Precision: 0.5482
Recall: 0.5344
Roc Auc: 0.5503

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: 1e-05
train_batch_size: 20
eval_batch_size: 20
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_steps: 72
training_steps: 720
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy	F1	Precision	Recall	Roc Auc
0.6883	2.0236	72	0.6839	0.5993	0.5953	0.6136	0.5993	0.6495
0.6687	5.0083	144	0.6742	0.5914	0.5807	0.6174	0.5914	0.7125
0.6698	7.0319	216	0.6704	0.5767	0.5587	0.6117	0.5767	0.7110
0.6401	10.0181	288	0.6626	0.5705	0.5488	0.6097	0.5705	0.7163

Framework versions

Transformers 4.46.1
Pytorch 2.0.1+cu118
Datasets 3.0.2
Tokenizers 0.20.1

Library: transformers
Created: Oct 31, 2024
Updated: Oct 31, 2024