Mixtral_Alpace_v3

Liu-Xiang/Mixtral_Alpace_v3

Mixtral_Alpace_v3 is a machine learning model from Liu-Xiang. 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

39% of all-time downloads

All-time downloads

Public

Repo size

3 GB

Likes

Public

Hugging Face

Repo makeup

Click a slice to open those files.

.safetensors752 MB · 100%

At a glance

Library: peft
License: apache-2.0
Access: Public
Created: Mar 16, 2024
Updated: Aug 3, 2024
SHA: 3a420110

Base models

mistralai/Mixtral-8x7B-v0.1

Model card

From the Hugging Face model README

Mixtral_Alpace_v3

This model is a fine-tuned version of mistralai/Mixtral-8x7B-v0.1 on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 0.8517

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: 2.5e-05
train_batch_size: 16
eval_batch_size: 8
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 3
training_steps: 100

Training results

Training Loss	Epoch	Step	Validation Loss
1.1536	0.03	10	1.1278
1.0733	0.07	20	1.0587
1.0201	0.1	30	0.9941
0.9622	0.13	40	0.9509
0.9268	0.16	50	0.9188
0.8984	0.2	60	0.8944
0.9067	0.23	70	0.8756
0.8712	0.26	80	0.8622
0.8485	0.3	90	0.8544
0.8703	0.33	100	0.8517

Framework versions

PEFT 0.12.1.dev0
Transformers 4.36.0
Pytorch 2.2.2+cu121
Datasets 2.20.0
Tokenizers 0.15.2

Library: peft
License: apache-2.0
Created: Mar 16, 2024
Updated: Aug 3, 2024