tinyllama_lora_adcopy

smangrul/tinyllama_lora_adcopy

tinyllama_lora_adcopy is a machine learning model from smangrul. 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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Hugging Face

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At a glance

Library: peft
License: apache-2.0
Access: Public
Created: Jan 17, 2024
Updated: Jan 17, 2024
SHA: cb137f0c

Base models

TinyLlama/TinyLlama-1.1B-intermediate-step-1431k-3T

Model card

From the Hugging Face model README

tinyllama_lora_adcopy

This model is a fine-tuned version of TinyLlama/TinyLlama-1.1B-intermediate-step-1431k-3T on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 0.8992

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: 0.0005
train_batch_size: 8
eval_batch_size: 8
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: cosine
lr_scheduler_warmup_ratio: 0.1
num_epochs: 10
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss
0.9386	1.0	129	0.8662
0.7821	2.0	258	0.7954
0.5269	3.0	387	0.7621
0.4121	4.0	516	0.7183
0.2169	5.0	645	0.7358
0.1206	6.0	774	0.7757
0.057	7.0	903	0.8003
0.0291	8.0	1032	0.8342
0.0097	9.0	1161	0.8800
0.0077	10.0	1290	0.8992

Framework versions

PEFT 0.7.2.dev0
Transformers 4.37.0.dev0
Pytorch 2.1.2+cu121
Datasets 2.15.0
Tokenizers 0.15.0

Library: peft
License: apache-2.0
Created: Jan 17, 2024
Updated: Jan 17, 2024