Llama2-7b-BoolQ-layers-0-9

mogmyij/Llama2-7b-BoolQ-layers-0-9

Llama2-7b-BoolQ-layers-0-9 is a machine learning model from mogmyij. 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 llama2.

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

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Repo size

10.5 MB

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Hugging Face

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.safetensors10.5 MB · 85%

At a glance

Library: peft
License: llama2
Access: Public
Created: Jun 24, 2024
Updated: Jun 24, 2024
SHA: 8cd98d5b

Base models

meta-llama/Llama-2-7b-hf

Model card

From the Hugging Face model README

Llama2-7b-BoolQ-layers-0-9

This model is a fine-tuned version of meta-llama/Llama-2-7b-hf on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 0.5321

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: 0.0001
train_batch_size: 2
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 4
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: 0.05
num_epochs: 3
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss
0.1988	0.9996	1178	0.3385
0.2485	2.0	2357	0.3285
0.8818	2.9987	3534	0.5321

Framework versions

PEFT 0.11.1
Transformers 4.41.1
Pytorch 2.3.0
Datasets 2.19.1
Tokenizers 0.19.1

Library: peft
License: llama2
Created: Jun 24, 2024
Updated: Jun 24, 2024