mistral_retrained

JoseBambora/mistral_retrained

mistral_retrained is a machine learning model from JoseBambora. 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: Apr 12, 2024
Updated: May 14, 2024
SHA: f6cd2443

Base models

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

Model card

From the Hugging Face model README

mistral_retrained

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: 2.1674

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: 1
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 4
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: cosine
lr_scheduler_warmup_ratio: 0.03
num_epochs: 4
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss
2.0199	1.0	70	2.1161
1.9803	2.0	140	2.1242
1.8834	3.0	210	2.1538
1.8275	4.0	280	2.1674

Framework versions

PEFT 0.7.1
Transformers 4.36.1
Pytorch 2.0.0+cu117
Datasets 2.18.0
Tokenizers 0.15.2

Library: peft
License: apache-2.0
Created: Apr 12, 2024
Updated: May 14, 2024