whisper_small.hi_lora

charioteer/whisper_small.hi_lora

whisper_small.hi_lora is a machine learning model from charioteer. 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. --

Downloads · 30 days

10% of all-time downloads

All-time downloads

108

Public

Repo size

87.8 MB

Likes

Public

Hugging Face

Repo makeup

Click a slice to open those files.

.safetensors17.6 MB · 81%

At a glance

Library: peft
License: apache-2.0
Access: Public
Created: May 6, 2024
Updated: May 6, 2024
SHA: 76cfd6af

Base models

openai/whisper-small

Datasets

common_voice_11_0

Model card

From the Hugging Face model README

whisper_small.hi_lora

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

Loss: 0.4588
Wer: 52.1713

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: 0.0003
train_batch_size: 8
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 2
total_train_batch_size: 16
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 500
training_steps: 5000
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Wer
0.4177	2.44	1000	0.5055	59.4430
0.3887	4.89	2000	0.4759	52.9544
0.3595	7.33	3000	0.4660	52.4634
0.3643	9.78	4000	0.4598	52.2221
0.3556	12.22	5000	0.4588	52.1713

Framework versions

PEFT 0.10.0
Transformers 4.39.3
Pytorch 2.2.2+cu121
Datasets 2.18.0
Tokenizers 0.15.2

Library: peft
License: apache-2.0
Created: May 6, 2024
Updated: May 6, 2024