nick_asr_COMBO

ntoldalagi/nick_asr_COMBO

nick_asr_COMBO is a machine learning model from ntoldalagi. 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 transformers.

should probably proofread and complete it, then remove this comment. --

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Hugging Face

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At a glance

Library: transformers
Model type: wav2vec2
Access: Public
Created: Apr 15, 2022
Updated: Apr 24, 2022
SHA: 9af03167

Model card

From the Hugging Face model README

nick_asr_COMBO

This model was trained from scratch on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 1.4313
Wer: 0.6723
Cer: 0.2408

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: 1
eval_batch_size: 1
seed: 42
gradient_accumulation_steps: 16
total_train_batch_size: 16
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 10
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Wer	Cer
0.0857	1.0	687	1.3883	0.7082	0.2576
0.0627	2.0	1374	1.4099	0.7076	0.2561
0.0697	3.0	2061	1.3864	0.6906	0.2486
0.0575	4.0	2748	1.4356	0.6906	0.2455
0.0552	5.0	3435	1.4061	0.6778	0.2440
0.0631	6.0	4122	1.4541	0.6839	0.2444
0.0418	7.0	4809	1.4258	0.6930	0.2465
0.0407	8.0	5496	1.4193	0.6809	0.2451
0.0487	9.0	6183	1.4261	0.6778	0.2424
0.0371	10.0	6870	1.4313	0.6723	0.2408

Framework versions

Transformers 4.18.0
Pytorch 1.10.0+cu111
Datasets 2.1.0
Tokenizers 0.12.1

Library: transformers
Type: wav2vec2
Created: Apr 15, 2022
Updated: Apr 24, 2022