results

Kwabena/results

results is a machine learning model from Kwabena. Use it for the machine learning task on the model card, and read the license before you ship it in a product. The card lists the license as apache-2.0.

should probably proofread and complete it, then remove this comment. --

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Public

Updated Jan 25, 2024

Repo size

168 MB

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Hugging Face

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.safetensors168 MB · 99%

At a glance

License: apache-2.0
Access: Public
Created: Jan 25, 2024
Updated: Jan 25, 2024
SHA: 169c6256

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: 0.0307

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: 0.0001
train_batch_size: 4
eval_batch_size: 8
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: constant
lr_scheduler_warmup_steps: 0.03
training_steps: 300

Training results

Training Loss	Epoch	Step	Validation Loss
0.1301	0.05	20	0.1112
0.14	0.09	40	0.1021
0.1582	0.14	60	0.1935
0.1106	0.19	80	0.1298
0.1646	0.23	100	0.1226
0.0748	0.28	120	0.0889
0.1169	0.33	140	0.0966
0.1127	0.38	160	0.0706
0.0899	0.42	180	0.0696
0.1202	0.47	200	0.1355
0.0491	0.52	220	0.0529
0.0931	0.56	240	0.0466
0.1068	0.61	260	0.0695
0.0545	0.66	280	0.0383
0.0346	0.7	300	0.0307

Framework versions

Transformers 4.35.2
Pytorch 2.1.0+cu118
Datasets 2.16.1
Tokenizers 0.15.0

License: apache-2.0
Created: Jan 25, 2024
Updated: Jan 25, 2024