peft_ft_fl_mod_ind

ishikaibm/peft_ft_fl_mod_ind

peft_ft_fl_mod_ind is a machine learning model from ishikaibm. 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 mit.

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: mit
Access: Public
Created: May 29, 2024
Updated: Jun 13, 2024
SHA: 67e50917

Base models

EleutherAI/gpt-neo-1.3B

Model card

From the Hugging Face model README

peft_ft_fl_mod_ind

This model is a fine-tuned version of EleutherAI/gpt-neo-1.3B on the None dataset. It achieves the following results on the evaluation set:

Loss: 9.7048
Accuracy: 21.9681

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: 0.005
train_batch_size: 16
eval_batch_size: 16
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 64
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 5
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
No log	1.0	1	9.2047	-11.7267
No log	2.0	2	9.6156	-0.3807
No log	3.0	3	10.0327	110.6126
No log	4.0	4	9.7114	22.7145
No log	5.0	5	9.7048	21.9681

Framework versions

PEFT 0.11.1
Transformers 4.41.1
Pytorch 2.3.0+cu121
Datasets 2.19.2
Tokenizers 0.19.1

Library: peft
License: mit
Created: May 29, 2024
Updated: Jun 13, 2024