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cadaeic/
llama2-7b-recipe-lora

Name: llama2-7b-recipe-lora
Availability: InStock

transformers

llama

text-generation

generated_from_trainer

NousResearch/Llama-2-7b-hf

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lora-out

This model is a fine-tuned version of NousResearch/Llama-2-7b-hf on a synthetic recipe assistant dataset comprised of 2000 samples. It achieves the following results on the evaluation set:

Loss: 0.8666

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: 6
eval_batch_size: 6
seed: 42
gradient_accumulation_steps: 8
total_train_batch_size: 48
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: cosine
lr_scheduler_warmup_steps: 10
num_epochs: 50

Training results

Training Loss	Epoch	Step	Validation Loss
0.9548	8.0	20	0.9240
0.8514	16.0	40	0.8523
0.7774	24.0	60	0.8498
0.7178	32.0	80	0.8597
0.7103	40.0	100	0.8666

Framework versions

Transformers 4.34.0.dev0
Pytorch 2.0.1+cu118
Datasets 2.14.5
Tokenizers 0.14.0

cadaeic/llama2-7b-recipe-lora

lora-out

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

cadaeic/
llama2-7b-recipe-lora