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kingducks/
mistral-7b-instruct

Name: mistral-7b-instruct
Availability: InStock

generated_from_trainer

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

adapter

apache-2.0

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mistral-7b-instruct

This model is a fine-tuned version of mistralai/Mistral-7B-Instruct-v0.2 on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 1.5969

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: 0.0002
train_batch_size: 8
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 2
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: 0.3
num_epochs: 2

Training results

Training Loss	Epoch	Step	Validation Loss
1.8383	0.69	10	1.6810
1.6271	1.38	20	1.5969

Framework versions

PEFT 0.9.0
Transformers 4.38.2
Pytorch 2.0.1
Datasets 2.18.0
Tokenizers 0.15.2

kingducks/mistral-7b-instruct

mistral-7b-instruct

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

kingducks/
mistral-7b-instruct