mistral-ft

yo25/mistral-ft

mistral-ft is a machine learning model from yo25. 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: May 3, 2024
Updated: May 3, 2024
SHA: 0a1c812f

Base models

TheBloke/Mistral-7B-Instruct-v0.2-GPTQ

Model card

From the Hugging Face model README

mistral-ft

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

Loss: 1.6850

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: 4
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 16
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 2
num_epochs: 10
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss
2.2889	0.9231	3	1.9159
2.2099	1.8462	6	1.8528
2.1449	2.7692	9	1.8130
1.5811	4.0	13	1.7766
2.0798	4.9231	16	1.7465
2.0339	5.8462	19	1.7225
2.0248	6.7692	22	1.7049
1.4829	8.0	26	1.6908
1.9752	8.9231	29	1.6855
1.3923	9.2308	30	1.6850

Framework versions

PEFT 0.10.0
Transformers 4.40.1
Pytorch 2.1.0+cu121
Datasets 2.19.0
Tokenizers 0.19.1

Library: peft
License: apache-2.0
Created: May 3, 2024
Updated: May 3, 2024