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amy011872/
finetune-mistral-cleaner-v3

Name: finetune-mistral-cleaner-v3
Availability: InStock

generated_from_trainer

mistralai/Mistral-7B-Instruct-v0.1

adapter

apache-2.0

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finetune-mistral-cleaner-v3

This model is a fine-tuned version of mistralai/Mistral-7B-Instruct-v0.1 on the None dataset. It achieves the following results on the evaluation set:

Loss: 1.8435

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: 1e-07
train_batch_size: 1
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
num_epochs: 1

Training results

Training Loss	Epoch	Step	Validation Loss
2.37	0.08	20	1.8455
1.9081	0.16	40	1.8453
1.9063	0.24	60	1.8451
1.7914	0.32	80	1.8450
2.2449	0.4	100	1.8448
1.7181	0.48	120	1.8446
1.9602	0.56	140	1.8444
2.1923	0.64	160	1.8442
1.7254	0.72	180	1.8440
2.0513	0.8	200	1.8438
1.7509	0.88	220	1.8437
1.9919	0.96	240	1.8435

Framework versions

PEFT 0.7.1
Transformers 4.36.2
Pytorch 2.1.1
Datasets 2.16.1
Tokenizers 0.15.0

amy011872/finetune-mistral-cleaner-v3

finetune-mistral-cleaner-v3

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

amy011872/
finetune-mistral-cleaner-v3