mistral_instruct

ahmedgongi10/mistral_instruct

mistral_instruct is a machine learning model from ahmedgongi10. 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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Hugging Face

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At a glance

Library: peft
License: apache-2.0
Access: Public
Created: Feb 29, 2024
Updated: Mar 24, 2024
SHA: 0198e14c

Base models

mistralai/Mistral-7B-Instruct-v0.2

Model card

From the Hugging Face model README

mistral_instruct

This model is a fine-tuned version of mistralai/Mistral-7B-Instruct-v0.2 on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 1.0912

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: 0.0002
train_batch_size: 4
eval_batch_size: 2
seed: 42
gradient_accumulation_steps: 2
total_train_batch_size: 8
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: cosine
lr_scheduler_warmup_ratio: 0.1
lr_scheduler_warmup_steps: 2
num_epochs: 1
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss
1.0809	0.17	100	1.1198
1.1106	0.34	200	1.1051
1.0177	0.51	300	1.0979
0.9422	0.68	400	1.0933
1.0449	0.85	500	1.0912

Framework versions

PEFT 0.10.0
Transformers 4.39.0
Pytorch 2.1.2
Datasets 2.1.0
Tokenizers 0.15.2

Library: peft
License: apache-2.0
Created: Feb 29, 2024
Updated: Mar 24, 2024