mistral-mistralinstruct_climate_finetune_2

fayetitchenal/mistral-mistralinstruct_climate_finetune_2

mistral-mistralinstruct_climate_finetune_2 is a machine learning model from fayetitchenal. 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

1.8 GB

Likes

Public

Hugging Face

Repo makeup

Click a slice to open those files.

.safetensors877 MB · 100%

At a glance

Library: peft
License: apache-2.0
Access: Public
Created: Jul 25, 2024
Updated: Jul 28, 2024
SHA: e0e3936b

Base models

mistralai/Mistral-7B-Instruct-v0.3

Model card

From the Hugging Face model README

mistral-mistralinstruct_climate_finetune_2

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

Loss: 0.4924

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: 8
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 2
total_train_batch_size: 16
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: constant
lr_scheduler_warmup_ratio: 0.03
num_epochs: 2

Training results

Training Loss	Epoch	Step	Validation Loss
1.7767	0.2222	25	1.5856
1.4419	0.4444	50	1.2622
1.1673	0.6667	75	1.0246
0.965	0.8889	100	0.8292
0.6214	1.1111	125	0.6963
0.4369	1.3333	150	0.6120
0.3834	1.5556	175	0.5252
0.3739	1.7778	200	0.4924

Framework versions

PEFT 0.12.0
Transformers 4.43.3
Pytorch 2.3.1+cu121
Datasets 2.20.0
Tokenizers 0.19.1

Library: peft
License: apache-2.0
Created: Jul 25, 2024
Updated: Jul 28, 2024