llama3.18b-icd-finetune

niteshagarwala/llama3.18b-icd-finetune

llama3.18b-icd-finetune is a machine learning model from niteshagarwala. 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: Jan 29, 2025
Updated: Jan 29, 2025
SHA: 62455c27

Base models

meta-llama/Llama-3.1-8B

Model card

From the Hugging Face model README

llama3.18b-icd-finetune

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: 0.3603

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: 3e-05
train_batch_size: 2
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 8
optimizer: Use paged_adamw_8bit with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 5
training_steps: 300
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss
4.6465	0.4938	50	0.5192
1.844	0.9877	100	0.4130
1.582	1.4741	150	0.3835
1.4982	1.9679	200	0.3685
1.412	2.4543	250	0.3624
1.402	2.9481	300	0.3603

Framework versions

PEFT 0.14.0
Transformers 4.47.0
Pytorch 2.5.1+cu121
Datasets 3.2.0
Tokenizers 0.21.0

Library: peft
License: llama3.1
Created: Jan 29, 2025
Updated: Jan 29, 2025