profesor_MViT_B_VIOPERU

DanJoshua/profesor_MViT_B_VIOPERU

profesor_MViT_B_VIOPERU 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. --

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At a glance

Library: transformers
Access: Public
Created: Nov 2, 2024
Updated: Nov 2, 2024
SHA: c6444ebb

Model card

From the Hugging Face model README

profesor_MViT_B_VIOPERU

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

Loss: 0.5811
Accuracy: 0.8393
F1: 0.8385
Precision: 0.8464
Recall: 0.8393
Roc Auc: 0.9232

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: 22
eval_batch_size: 22
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: 90
training_steps: 900
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy	F1	Precision	Recall	Roc Auc
0.6576	7.0067	90	0.6648	0.6786	0.6719	0.6944	0.6786	0.7857
0.5634	14.0133	180	0.5872	0.75	0.7497	0.7513	0.75	0.8533
0.4258	22.0067	270	0.4743	0.875	0.8750	0.8755	0.875	0.9133
0.3059	29.0133	360	0.4014	0.8393	0.8392	0.8397	0.8393	0.9298
0.2045	37.0067	450	0.3394	0.8571	0.8570	0.8590	0.8571	0.9401
0.1448	44.0133	540	0.3734	0.8393	0.8392	0.8397	0.8393	0.9279
0.1082	52.0067	630	0.3368	0.8929	0.8916	0.9118	0.8929	0.9515
0.0912	59.0133	720	0.3935	0.8571	0.8564	0.8646	0.8571	0.9388
0.0736	67.0067	810	0.3789	0.8929	0.8916	0.9118	0.8929	0.9522
0.0615	74.0133	900	0.3806	0.8929	0.8916	0.9118	0.8929	0.9579

Framework versions

Transformers 4.46.1
Pytorch 2.0.1+cu118
Datasets 3.1.0
Tokenizers 0.20.1

Library: transformers
Created: Nov 2, 2024
Updated: Nov 2, 2024