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dayanandkangala/
mistral_instruct_generation

Name: mistral_instruct_generation
Availability: InStock

generated_from_trainer

generator

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

adapter

apache-2.0

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mistral_instruct_generation

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

Loss: 1.3079

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: 4
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
training_steps: 100

Training results

Training Loss	Epoch	Step	Validation Loss
1.5164	0.1626	20	1.3708
1.4759	0.3252	40	1.3319
1.4326	0.4878	60	1.3213
1.422	0.6504	80	1.3104
1.4391	0.8130	100	1.3079

Framework versions

PEFT 0.11.1
Transformers 4.41.0
Pytorch 2.3.0+cu121
Datasets 2.19.1
Tokenizers 0.19.1

dayanandkangala/mistral_instruct_generation

mistral_instruct_generation

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

dayanandkangala/
mistral_instruct_generation