cot_method2test-mistral-7B_v1

Minata/cot_method2test-mistral-7B_v1

cot_method2test-mistral-7B_v1 is a machine learning model from Minata. 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: Jan 14, 2024
Updated: Feb 10, 2024
SHA: 31aa2d43

Base models

mistralai/Mistral-7B-v0.1

Model card

From the Hugging Face model README

cot_method2test-mistral-7B_v1

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

Loss: 0.7463

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: 2
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 8
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 5
training_steps: 50

Training results

Training Loss	Epoch	Step	Validation Loss
1.0057	0.48	5	1.2410
0.9781	0.95	10	1.1410
0.8181	1.43	15	1.0440
0.7273	1.9	20	0.9502
0.6721	2.38	25	0.8735
0.5397	2.86	30	0.8148
0.4642	3.33	35	0.7771
0.4328	3.81	40	0.7565
0.3788	4.29	45	0.7490
0.4171	4.76	50	0.7463

Framework versions

PEFT 0.7.2.dev0
Transformers 4.37.0.dev0
Pytorch 2.1.0+cu121
Datasets 2.16.1
Tokenizers 0.15.0

Library: peft
License: apache-2.0
Created: Jan 14, 2024
Updated: Feb 10, 2024