openai-whisper-large-v2-LORA-colab

dah1214/openai-whisper-large-v2-LORA-colab

openai-whisper-large-v2-LORA-colab is a machine learning model from dah1214. 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: Feb 21, 2024
Updated: Feb 22, 2024
SHA: d0936f71

Base models

openai/whisper-large-v2

Datasets

common_voice_11_0

Model card

From the Hugging Face model README

openai-whisper-large-v2-LORA-colab

This model is a fine-tuned version of openai/whisper-large-v2 on the common_voice_11_0 dataset. It achieves the following results on the evaluation set:

Loss: 0.1374

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: 0.001
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
lr_scheduler_warmup_steps: 50
num_epochs: 3
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss
0.1865	1.0	1410	0.1704
0.0955	2.0	2820	0.1426
0.0165	3.0	4230	0.1374

Framework versions

PEFT 0.8.2
Transformers 4.39.0.dev0
Pytorch 2.2.0+cu121
Datasets 2.17.1.dev0
Tokenizers 0.15.1

Library: peft
License: apache-2.0
Created: Feb 21, 2024
Updated: Feb 22, 2024