pgd_mistral_8bits_lr5e-05_bs3_ep3_alpha8_rk2_do0.3_wd5.0e-03

nelkh/pgd_mistral_8bits_lr5e-05_bs3_ep3_alpha8_rk2_do0.3_wd5.0e-03

pgd_mistral_8bits_lr5e-05_bs3_ep3_alpha8_rk2_do0.3_wd5.0e-03 is a machine learning model from nelkh. 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: Jul 31, 2024
Updated: Jul 31, 2024
SHA: 5b12c42f

Base models

mistralai/Mistral-7B-Instruct-v0.3

Model card

From the Hugging Face model README

pgd_mistral_8bits_lr5e-05_bs3_ep3_alpha8_rk2_do0.3_wd5.0e-03

This model is a fine-tuned version of mistralai/Mistral-7B-Instruct-v0.3 on the None dataset. It achieves the following results on the evaluation set:

Loss: 1.4134

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: 3
eval_batch_size: 3
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 12
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 20
num_epochs: 3
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss
3.016	0.9778	22	2.5156
2.0366	2.0	45	1.7304
1.492	2.9333	66	1.4134

Framework versions

PEFT 0.12.0
Transformers 4.42.4
Pytorch 2.4.0+cu121
Datasets 2.20.0
Tokenizers 0.19.1

Library: peft
License: apache-2.0
Created: Jul 31, 2024
Updated: Jul 31, 2024