one_half_data_high_rank_even_more_params

grace-pro/one_half_data_high_rank_even_more_params

one_half_data_high_rank_even_more_params is a machine learning model from grace-pro. 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 peft. The card lists the license as apache-2.0.

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

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At a glance

Library: peft
License: apache-2.0
Access: Public
Created: Mar 10, 2024
Updated: Mar 10, 2024
SHA: 20fb618c

Base models

mistralai/Mistral-7B-v0.1

Model card

From the Hugging Face model README

one_half_data_high_rank_even_more_params

This model is a fine-tuned version of mistralai/Mistral-7B-v0.1 on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 0.7115
Precision: 0.8275
Recall: 0.9492
F1-score: 0.8842
Accuracy: 0.8394

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: 8
eval_batch_size: 8
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: constant
lr_scheduler_warmup_ratio: 0.1
num_epochs: 1
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Precision	Recall	F1-score	Accuracy
0.5522	1.0	24544	0.7115	0.8275	0.9492	0.8842	0.8394

Framework versions

PEFT 0.9.0
Transformers 4.38.2
Pytorch 2.1.0+cu121
Datasets 2.18.0
Tokenizers 0.15.2

Library: peft
License: apache-2.0
Created: Mar 10, 2024
Updated: Mar 10, 2024