output

visharxd/output

output is a machine learning model from visharxd. 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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Hugging Face

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At a glance

Library: peft
License: llama3.1
Access: Public
Created: Nov 19, 2024
Updated: Nov 20, 2024
SHA: 974a4597

Base models

meta-llama/Llama-3.1-8B-Instruct

Model card

From the Hugging Face model README

output

This model is a fine-tuned version of meta-llama/Llama-3.1-8B-Instruct on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 0.9369

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: 10
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: constant
lr_scheduler_warmup_ratio: 0.1
num_epochs: 1
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss
0.7803	0.2	100	0.9983
0.8309	0.4	200	0.9897
0.9959	0.6	300	0.9535
1.1158	0.8	400	0.9451
0.9608	1.0	500	0.9369

Framework versions

PEFT 0.11.1
Transformers 4.44.2
Pytorch 2.4.0+cu124
Datasets 3.0.0
Tokenizers 0.19.1

Library: peft
License: llama3.1
Created: Nov 19, 2024
Updated: Nov 20, 2024