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Makucas/
Mistral-7B-Instruct-v0.2_06

Name: Mistral-7B-Instruct-v0.2_06
Availability: InStock

generated_from_trainer

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

adapter

apache-2.0

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Mistral-7B-Instruct-v0.2_06

This model is a fine-tuned version of mistralai/Mistral-7B-Instruct-v0.2 on the None dataset. It achieves the following results on the evaluation set:

Loss: 1.4609

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: 8
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_ratio: 0.3
num_epochs: 1

Training results

Training Loss	Epoch	Step	Validation Loss
1.8858	0.09	20	1.6917
1.4674	0.17	40	1.6269
1.5588	0.26	60	1.6090
1.5088	0.34	80	1.5809
1.2744	0.43	100	1.5596
1.742	0.51	120	1.5463
1.3846	0.6	140	1.5289
1.5378	0.68	160	1.5099
1.4594	0.77	180	1.4936
1.191	0.85	200	1.4790
1.614	0.94	220	1.4609

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

Makucas/Mistral-7B-Instruct-v0.2_06

Mistral-7B-Instruct-v0.2_06

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

Makucas/
Mistral-7B-Instruct-v0.2_06