experiments-5000-sample_dataset

blackhole33/experiments-5000-sample_dataset

experiments-5000-sample_dataset is a machine learning model from blackhole33. 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.

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
Access: Public
Created: Jul 21, 2024
Updated: Jul 21, 2024
SHA: dc758427

Base models

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

Model card

From the Hugging Face model README

experiments

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

Loss: 1.3233

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: 2
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
1.305	0.2	100	1.4012
1.3644	0.4	200	1.3725
1.3392	0.6	300	1.3449
1.2296	0.8	400	1.3339
1.3086	1.0	500	1.3233

Framework versions

PEFT 0.11.1
Transformers 4.42.4
Pytorch 2.3.1+cu121
Datasets 2.20.0
Tokenizers 0.19.1

Library: peft
Created: Jul 21, 2024
Updated: Jul 21, 2024