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fortymiles/
Llama-3-8B-sft-lora-food-nutrition-10-epoch

Name: Llama-3-8B-sft-lora-food-nutrition-10-epoch
Availability: InStock

generated_from_trainer

generator

meta-llama/Meta-Llama-3-8B-Instruct

adapter

other

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Llama-3-8B-sft-lora-food-nutrition-10-epoch

This model is a fine-tuned version of meta-llama/Meta-Llama-3-8B-Instruct on the generator dataset. It achieves the following results on the evaluation set:

Loss: 0.3265

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: 2e-05
train_batch_size: 1
eval_batch_size: 1
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: cosine
num_epochs: 10

Training results

Training Loss	Epoch	Step	Validation Loss
0.3207	1.0	2207	0.3432
0.3222	2.0	4414	0.3339
0.3442	3.0	6621	0.3298
0.3389	4.0	8828	0.3282
0.3293	5.0	11035	0.3271
0.3376	6.0	13242	0.3267
0.3543	7.0	15449	0.3266
0.3077	8.0	17656	0.3265
0.2973	9.0	19863	0.3266
0.3028	10.0	22070	0.3265

Framework versions

PEFT 0.10.1.dev0
Transformers 4.41.0.dev0
Pytorch 2.2.1+cu121
Datasets 2.19.0
Tokenizers 0.19.1

fortymiles/Llama-3-8B-sft-lora-food-nutrition-10-epoch

Llama-3-8B-sft-lora-food-nutrition-10-epoch

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

fortymiles/
Llama-3-8B-sft-lora-food-nutrition-10-epoch