commentor-gpt

mohananshu/commentor-gpt

commentor-gpt is a machine learning model from mohananshu. 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 apache-2.0.

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

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At a glance

Library: peft
License: apache-2.0
Access: Public
Created: Jul 8, 2024
Updated: Jul 8, 2024
SHA: 07b43bfe

Base models

TheBloke/Mistral-7B-Instruct-v0.2-GPTQ

Model card

From the Hugging Face model README

commentor-gpt

This model is a fine-tuned version of TheBloke/Mistral-7B-Instruct-v0.2-GPTQ on the None dataset. It achieves the following results on the evaluation set:

Loss: 3.6235

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: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 2
num_epochs: 5
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss
3.1059	0.8421	4	3.8892
2.6628	1.8947	9	3.7998
2.2273	2.9474	14	3.7266
2.1379	4.0	19	3.6368
2.0923	4.2105	20	3.6235

Framework versions

PEFT 0.11.1
Transformers 4.41.2
Pytorch 2.1.0+cu121
Datasets 2.20.0
Tokenizers 0.19.1

Library: peft
License: apache-2.0
Created: Jul 8, 2024
Updated: Jul 8, 2024