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vaishnavik31/
llama-3-8b-finetuned-peft-exp

Name: llama-3-8b-finetuned-peft-exp
Availability: InStock

generated_from_trainer

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

adapter

llama3

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llama-3-8b-finetuned-peft-exp

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

Loss: 0.1550

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: 1
eval_batch_size: 1
seed: 42
gradient_accumulation_steps: 2
total_train_batch_size: 2
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 10
num_epochs: 1

Training results

Training Loss	Epoch	Step	Validation Loss
0.0902	0.1998	90	0.1856
0.1458	0.3996	180	0.1749
0.2055	0.5993	270	0.1664
0.1414	0.7991	360	0.1581
0.1347	0.9989	450	0.1550

Framework versions

PEFT 0.11.1
Transformers 4.42.4
Pytorch 2.3.1+cu121
Datasets 2.20.0
Tokenizers 0.19.1

vaishnavik31/llama-3-8b-finetuned-peft-exp

llama-3-8b-finetuned-peft-exp

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

vaishnavik31/
llama-3-8b-finetuned-peft-exp