Mistral-7B-v0.1_mbe_no

retrieval-bar/Mistral-7B-v0.1_mbe_no

Mistral-7B-v0.1_mbe_no is a machine learning model from retrieval-bar. 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: May 3, 2024
Updated: May 3, 2024
SHA: d4553840

Base models

mistralai/Mistral-7B-v0.1

Datasets

Model card

From the Hugging Face model README

Mistral-7B-v0.1_mbe_no

This model is a fine-tuned version of mistralai/Mistral-7B-v0.1 on the mbe dataset. It achieves the following results on the evaluation set:

Loss: 0.5616
Accuracy: 0.5362

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: 3e-05
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: constant
lr_scheduler_warmup_ratio: 0.03
training_steps: 300

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
1.5245	0.07	10	0.6507	0.3355
0.6666	0.13	20	0.6464	0.3816
0.6527	0.2	30	0.6427	0.3684
0.6168	0.27	40	0.6321	0.3980
0.6584	0.33	50	0.6182	0.3914
0.586	0.4	60	0.6244	0.4145
0.5924	0.47	70	0.6034	0.4342
0.6069	0.53	80	0.6096	0.4375
0.5999	0.6	90	0.6096	0.4408
0.6206	0.67	100	0.6070	0.4572
0.5793	0.73	110	0.6016	0.4572
0.6208	0.8	120	0.5902	0.4605
0.5622	0.87	130	0.5775	0.4770
0.5502	0.93	140	0.5761	0.4671
0.5958	1.0	150	0.5606	0.4901
0.4558	1.07	160	0.5840	0.4737
0.4411	1.14	170	0.5631	0.4901
0.4144	1.2	180	0.5745	0.5
0.4647	1.27	190	0.5932	0.4605
0.4504	1.34	200	0.5799	0.5099
0.4299	1.4	210	0.6488	0.4934
0.425	1.47	220	0.5704	0.5132
0.4152	1.54	230	0.5582	0.5066
0.425	1.6	240	0.5489	0.5329
0.446	1.67	250	0.5479	0.5197
0.3908	1.74	260	0.5564	0.5164
0.443	1.8	270	0.5419	0.5033
0.4081	1.87	280	0.5948	0.5066
0.3944	1.94	290	0.5547	0.5395
0.4005	2.0	300	0.5616	0.5362

Framework versions

PEFT 0.7.1
Transformers 4.37.2
Pytorch 2.1.2+cu121
Datasets 2.17.1
Tokenizers 0.15.1

Library: peft
License: apache-2.0
Created: May 3, 2024
Updated: May 3, 2024