mistral_sequence_classification

thenlpresearcher/mistral_sequence_classification

mistral_sequence_classification is a machine learning model from thenlpresearcher. 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 6, 2025
Updated: Feb 6, 2025
SHA: 7597815e

Base models

mistralai/Mistral-7B-v0.3

Model card

From the Hugging Face model README

mistral_sequence_classification

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

Loss: 0.2667
Pearson: 0.9704

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: 32
eval_batch_size: 8
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 5

Training results

Training Loss	Epoch	Step	Validation Loss	Pearson
No log	1.0	206	0.3305	0.9028
No log	2.0	412	0.2609	0.9532
0.4868	3.0	618	0.2432	0.9611
0.4868	4.0	824	0.2611	0.9639
0.0417	5.0	1030	0.2667	0.9704

Framework versions

PEFT 0.14.0
Transformers 4.45.2
Pytorch 2.4.0a0+f70bd71a48.nv24.06
Datasets 3.2.0
Tokenizers 0.20.3

Library: peft
License: apache-2.0
Created: Feb 6, 2025
Updated: Feb 6, 2025