lc_v7_select_half_lr

nerottt/lc_v7_select_half_lr

lc_v7_select_half_lr 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. --

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At a glance

Library: peft
License: apache-2.0
Access: Public
Created: Jun 28, 2024
Updated: Jun 28, 2024
SHA: 5a5adb6a

Base models

mistralai/Mistral-7B-v0.1

Model card

From the Hugging Face model README

lc_v7_select_half_lr

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: 1.3481

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: 1e-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
1.4629	1.0	297	1.3980
1.3131	2.0	594	1.3670
1.3327	3.0	891	1.3556
1.3166	4.0	1188	1.3508
1.2953	5.0	1485	1.3491
1.3096	6.0	1782	1.3484
1.4526	7.0	2079	1.3482
1.4208	8.0	2376	1.3483
1.3046	9.0	2673	1.3484
1.3497	10.0	2970	1.3481

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