llama3_false_positives_0609_KTO_hp_screening_seeds

PaulD/llama3_false_positives_0609_KTO_hp_screening_seeds

llama3_false_positives_0609_KTO_hp_screening_seeds is a machine learning model from PaulD. Use it for the machine learning task on the model card, and read the license before you ship it in a product. It is set up for peft. The card lists the license as llama3.

should probably proofread and complete it, then remove this comment. --

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Hugging Face

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At a glance

Library: peft
License: llama3
Access: Public
Created: Sep 10, 2024
Updated: Sep 18, 2024
SHA: 3e019e1e

Base models

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

Model card

From the Hugging Face model README

llama3_false_positives_0609_KTO_hp_screening_seeds

This model is a fine-tuned version of meta-llama/Meta-Llama-3-8B-Instruct on the None dataset. It achieves the following results on the evaluation set:

Loss: 1.9850
Eval/rewards/chosen: 0.0
Eval/logps/chosen: -207.5800
Eval/rewards/rejected: 0.0
Eval/logps/rejected: -221.5768
Eval/rewards/margins: 0.0
Eval/kl: 0.0

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: 0.0
train_batch_size: 1
eval_batch_size: 2
seed: 9012
gradient_accumulation_steps: 8
total_train_batch_size: 8
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: cosine
lr_scheduler_warmup_ratio: 0.1
num_epochs: 1.0

Training results

Training Loss	Epoch	Step	Validation Loss
1.0625	0.9412	12	1.9850	0.0

Framework versions

PEFT 0.11.1
Transformers 4.44.0
Pytorch 2.2.0
Datasets 2.20.0
Tokenizers 0.19.1

Library: peft
License: llama3
Created: Sep 10, 2024
Updated: Sep 18, 2024