with_cnn_summary_train_2

JasonBounre/with_cnn_summary_train_2

with_cnn_summary_train_2 is a machine learning model from JasonBounre. 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: Nov 6, 2024
Updated: Nov 6, 2024
SHA: ea673f99

Base models

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

Model card

From the Hugging Face model README

with_cnn_summary_train_2

This model is a fine-tuned version of meta-llama/Meta-Llama-3-8B on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 2.2615

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: 1e-05
train_batch_size: 16
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 8
total_train_batch_size: 128
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 500
num_epochs: 3
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss
No log	0.9922	64	2.3924
2.3747	2.0	129	2.3613
2.3747	2.9767	192	2.2615

Framework versions

PEFT 0.13.1
Transformers 4.43.3
Pytorch 2.4.0+cu121
Datasets 3.0.1
Tokenizers 0.19.1

Library: peft
License: llama3
Created: Nov 6, 2024
Updated: Nov 6, 2024