results

yerkekz/results

results is a machine learning model from yerkekz. 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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.safetensors671 MB · 100%

At a glance

Library: peft
License: apache-2.0
Access: Public
Created: Mar 16, 2024
Updated: Mar 26, 2024
SHA: a04fec80

Base models

mistralai/Mistral-7B-Instruct-v0.2

Model card

From the Hugging Face model README

results

This model is a fine-tuned version of mistralai/Mistral-7B-Instruct-v0.2 on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 0.9955

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: 4
eval_batch_size: 4
seed: 42
gradient_accumulation_steps: 2
total_train_batch_size: 8
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: cosine
lr_scheduler_warmup_steps: 0.03
num_epochs: 2

Training results

Training Loss	Epoch	Step	Validation Loss
1.0284	0.29	500	1.0100
1.0079	0.58	1000	1.0023
0.9938	0.87	1500	0.9934
0.8683	1.16	2000	1.0001
0.8724	1.45	2500	0.9977
0.8777	1.74	3000	0.9955

Framework versions

PEFT 0.10.0
Transformers 4.39.1
Pytorch 2.2.1+cu121
Datasets 2.18.0
Tokenizers 0.15.2

Library: peft
License: apache-2.0
Created: Mar 16, 2024
Updated: Mar 26, 2024