dax_query_llama

madhes1/dax_query_llama

dax_query_llama is a machine learning model from madhes1. 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 llama3.1.

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

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At a glance

Library: peft
License: llama3.1
Access: Public
Created: Dec 25, 2024
Updated: Dec 25, 2024
SHA: 52f6f424

Base models

meta-llama/Llama-3.1-8B

Model card

From the Hugging Face model README

dax_query_llama

This model is a fine-tuned version of meta-llama/Llama-3.1-8B on the None dataset. It achieves the following results on the evaluation set:

Loss: 9.5530
Rouge1: 0.3920
Rouge2: 0.0986
Rougel: 0.3668
Rougelsum: 0.3670

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: 4
eval_batch_size: 4
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 16
optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
lr_scheduler_warmup_ratio: 0.03
num_epochs: 3
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Rouge1	Rouge2	Rougel	Rougelsum
No log	1.0	1	9.5530	0.3920	0.0986	0.3668	0.3670
No log	2.0	2	9.5530	0.3920	0.0986	0.3668	0.3670
No log	3.0	3	9.5530	0.3920	0.0986	0.3668	0.3670

Framework versions

PEFT 0.14.0
Transformers 4.47.1
Pytorch 2.5.1+cu118
Datasets 3.2.0
Tokenizers 0.21.0

Library: peft
License: llama3.1
Created: Dec 25, 2024
Updated: Dec 25, 2024