Wav2Vec2_xls_r_300m_hi_cv7

LegolasTheElf/Wav2Vec2_xls_r_300m_hi_cv7

Wav2Vec2_xls_r_300m_hi_cv7 is a automatic speech recognition model from LegolasTheElf. Use it when you need speech turned into text. It is set up for transformers. 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

Task: Automatic Speech Recognition
Library: transformers
License: apache-2.0
Model type: wav2vec2
Access: Public
Created: Mar 2, 2022
Updated: Feb 7, 2022
SHA: f7711c4f

Datasets

common_voice

Model card

From the Hugging Face model README

Wav2Vec2_xls_r_300m_hi_cv7

This model is a fine-tuned version of facebook/wav2vec2-xls-r-300m on the common_voice dataset. It achieves the following results on the evaluation set:

Loss: 0.6567
Wer: 0.6273
Cer: 0.2093

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: 0.0001
train_batch_size: 16
eval_batch_size: 32
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 64
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 100
num_epochs: 35
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Wer	Cer
5.6969	9.52	400	3.3092	1.0	0.9800
1.7721	19.05	800	0.7769	0.7045	0.2367
0.6384	28.57	1200	0.6567	0.6273	0.2093

Framework versions

Transformers 4.17.0.dev0
Pytorch 1.10.2+cu102
Datasets 1.18.3
Tokenizers 0.11.0

Task: Automatic Speech Recognition
Library: transformers
Type: wav2vec2
License: apache-2.0
Created: Mar 2, 2022
Updated: Feb 7, 2022