lc_v7_select

nerottt/lc_v7_select

lc_v7_select is a machine learning model from nerottt. 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

26% of all-time downloads

All-time downloads

Public

Repo size

1.1 GB

Likes

Public

Hugging Face

Repo makeup

Click a slice to open those files.

.safetensors109 MB · 98%

At a glance

Library: peft
License: apache-2.0
Access: Public
Created: Jun 28, 2024
Updated: Jun 28, 2024
SHA: e2b10302

Base models

mistralai/Mistral-7B-v0.1

Model card

From the Hugging Face model README

lc_v7_select

This model is a fine-tuned version of mistralai/Mistral-7B-v0.1 on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 1.3328

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: 1
eval_batch_size: 1
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: cosine
num_epochs: 10

Training results

Training Loss	Epoch	Step	Validation Loss
1.4231	1.0	297	1.3575
1.2756	2.0	594	1.3408
1.2876	3.0	891	1.3342
1.2691	4.0	1188	1.3322
1.239	5.0	1485	1.3334
1.2492	6.0	1782	1.3324
1.3679	7.0	2079	1.3325
1.3518	8.0	2376	1.3329
1.2306	9.0	2673	1.3333
1.2744	10.0	2970	1.3328

Framework versions

PEFT 0.11.1
Transformers 4.41.2
Pytorch 2.1.0+cu118
Datasets 2.20.0
Tokenizers 0.19.1

Library: peft
License: apache-2.0
Created: Jun 28, 2024
Updated: Jun 28, 2024