mistral-codaspy

dainis-boumber/mistral-codaspy

mistral-codaspy is a machine learning model from dainis-boumber. 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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Hugging Face

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At a glance

Library: peft
License: apache-2.0
Access: Public
Created: Dec 22, 2023
Updated: Dec 23, 2023
SHA: e6aaed96

Base models

mistralai/Mistral-7B-v0.1

Model card

From the Hugging Face model README

mistral-codaspy

This model is a fine-tuned version of mistralai/Mistral-7B-v0.1 on the None dataset. It achieves the following results on the evaluation set:

Loss: 0.0002

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: 32
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 128
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 5
num_epochs: 2

Training results

Training Loss	Epoch	Step	Validation Loss
0.7694	0.22	50	0.0199
0.0106	0.44	100	0.0061
0.0036	0.66	150	0.0018
0.0011	0.88	200	0.0006
0.0005	1.11	250	0.0004
0.0003	1.33	300	0.0003
0.0003	1.55	350	0.0002
0.0002	1.77	400	0.0002
0.0002	1.99	450	0.0002

Framework versions

PEFT 0.7.2.dev0
Transformers 4.37.0.dev0
Pytorch 2.1.2+cu121
Datasets 2.15.0
Tokenizers 0.15.0

Library: peft
License: apache-2.0
Created: Dec 22, 2023
Updated: Dec 23, 2023