Lora_500_last_question_wikiqa_seed_55_without_label

Luongdzung/Lora_500_last_question_wikiqa_seed_55_without_label

Lora_500_last_question_wikiqa_seed_55_without_label is a machine learning model from Luongdzung. 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 bigscience-bloom-rail-1.0.

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: bigscience-bloom-rail-1.0
Access: Public
Created: Oct 8, 2024
Updated: Oct 8, 2024
SHA: b36f5fb2

Base models

vlsp-2023-vllm/hoa-1b4

Model card

From the Hugging Face model README

Lora_500_last_question_wikiqa_seed_55_without_label

This model is a fine-tuned version of vlsp-2023-vllm/hoa-1b4 on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 0.4037

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: 5e-05
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: linear
num_epochs: 3.0

Training results

Training Loss	Epoch	Step	Validation Loss
0.6182	1.0	50	0.5676
0.3757	2.0	100	0.4127
0.3693	3.0	150	0.4037

Framework versions

PEFT 0.13.1
Transformers 4.44.2
Pytorch 2.4.0
Datasets 3.0.0
Tokenizers 0.19.1

Library: peft
License: bigscience-bloom-rail-1.0
Created: Oct 8, 2024
Updated: Oct 8, 2024