Mistral-7B-smoll_pippa-lora

Undi95/Mistral-7B-smoll_pippa-lora

Mistral-7B-smoll_pippa-lora is a machine learning model from Undi95. Use it for the machine learning task on the model card, and read the license before you ship it in a product.

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

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Hugging Face

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At a glance

Access: Public
Created: Sep 29, 2023
Updated: Sep 29, 2023
SHA: f79206f9

Model card

From the Hugging Face model README

smoll_pippa

This model was trained from scratch on the smoll_pippa dataset. It achieves the following results on the evaluation set:

Loss: 1.6736

Model description

Dataset trained on mistralai/Mistral-7B-v0.1

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: 4
total_train_batch_size: 16
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: cosine
lr_scheduler_warmup_steps: 10
num_epochs: 3

Training results

Training Loss	Epoch	Step	Validation Loss
1.6421	0.16	50	1.6217
1.6288	0.31	100	1.6144
1.5725	0.47	150	1.6102
1.5582	0.62	200	1.6065
1.6055	0.78	250	1.6051
1.5733	0.93	300	1.6023
1.4885	1.09	350	1.6130
1.484	1.24	400	1.6169
1.4354	1.4	450	1.6194
1.4427	1.56	500	1.6187
1.4687	1.71	550	1.6178
1.461	1.87	600	1.6174
1.327	2.02	650	1.6341
1.3015	2.18	700	1.6665
1.3328	2.33	750	1.6714
1.3453	2.49	800	1.6718
1.3458	2.64	850	1.6725
1.3016	2.8	900	1.6737
1.3018	2.95	950	1.6736

Framework versions

Transformers 4.34.0.dev0
Pytorch 2.0.1+cu118
Datasets 2.14.5
Tokenizers 0.14.0

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Created: Sep 29, 2023
Updated: Sep 29, 2023