mixed_model_combined_data

Yassmen/mixed_model_combined_data

mixed_model_combined_data is a machine learning model from Yassmen. Use it for the machine learning task on the model card, and read the license before you ship it in a product.

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

Downloads · 30 days

Access

Public

Updated Aug 1, 2024

Parameters

402M

1.6 GB on disk

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Public

Hugging Face

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At a glance

Access: Public
Created: Aug 1, 2024
Updated: Aug 1, 2024
SHA: a91c3b39

Model card

From the Hugging Face model README

mixed_model_combined_data

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

Loss: 0.3112
Accuracy: 0.8954
F1: 0.8944
Recall: 0.8954
Precision: 0.8953

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: 0.0001
train_batch_size: 4
eval_batch_size: 4
seed: 42
gradient_accumulation_steps: 8
total_train_batch_size: 32
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_ratio: 0.1
training_steps: 849
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy	F1	Recall	Precision
0.66	0.9982	212	0.7179	0.7648	0.7546	0.7648	0.7864
0.4943	1.9965	424	0.5750	0.8136	0.8106	0.8136	0.8352
0.2822	2.9994	637	0.3672	0.8713	0.8696	0.8713	0.8743
0.1882	3.9976	849	0.3112	0.8954	0.8944	0.8954	0.8953

Framework versions

Transformers 4.42.3
Pytorch 2.1.2
Datasets 2.20.0
Tokenizers 0.19.1

Created: Aug 1, 2024
Updated: Aug 1, 2024