mistral_fine_tuned

jjayaraj/mistral_fine_tuned

mistral_fine_tuned is a machine learning model from jjayaraj. 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. --

Downloads · 30 days

9% of all-time downloads

All-time downloads

Public

Repo size

2.4 GB

Likes

Public

Hugging Face

Repo makeup

Click a slice to open those files.

.safetensors1.2 GB · 100%

At a glance

Library: peft
License: apache-2.0
Access: Public
Created: Jun 13, 2024
Updated: Jun 24, 2024
SHA: 2806553b

Base models

mistralai/Mistral-7B-v0.3

Model card

From the Hugging Face model README

mistral_fine_tuned

This model is a fine-tuned version of mistralai/Mistral-7B-v0.3 on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 1.7497

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: 2e-05
train_batch_size: 15
eval_batch_size: 8
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: constant
lr_scheduler_warmup_steps: 0.03
training_steps: 100

Training results

Training Loss	Epoch	Step	Validation Loss
3.3433	0.1	10	2.8619
2.3427	0.2	20	2.3762
1.9334	0.3	30	2.0743
1.796	0.4	40	1.9626
1.8265	0.5	50	1.9076
1.7717	0.6	60	1.9241
1.597	0.7	70	1.8398
1.5922	0.8	80	1.8226
1.5468	0.9	90	1.7813
1.695	1.0	100	1.7497

Framework versions

PEFT 0.11.1
Transformers 4.41.0
Pytorch 2.3.0+cu121
Datasets 2.19.0
Tokenizers 0.19.1

Library: peft
License: apache-2.0
Created: Jun 13, 2024
Updated: Jun 24, 2024