codellama-infilling-mojo

annaluiza/codellama-infilling-mojo

codellama-infilling-mojo is a machine learning model from annaluiza. 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 llama2.

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: llama2
Access: Public
Created: Jun 6, 2024
Updated: Jul 4, 2024
SHA: a75c96ce

Base models

meta-llama/CodeLlama-7b-hf

Model card

From the Hugging Face model README

codellama-infilling-mojo

This model is a fine-tuned version of meta-llama/CodeLlama-7b-hf on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 1.0794

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: 2
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 2
total_train_batch_size: 4
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: constant
lr_scheduler_warmup_ratio: 0.03
num_epochs: 5
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss
1.6816	1.0	50	1.2632
1.0669	2.0	100	1.0566
0.7663	3.0	150	1.0003
0.5906	4.0	200	1.0155
0.4724	5.0	250	1.0794

Framework versions

PEFT 0.11.2.dev0
Transformers 4.41.2
Pytorch 2.3.0+cu121
Datasets 2.19.2
Tokenizers 0.19.1

Library: peft
License: llama2
Created: Jun 6, 2024
Updated: Jul 4, 2024