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jcmc/
wav2vec-1b-cv8-ir-n

Name: wav2vec-1b-cv8-ir-n
Availability: InStock

transformers

pytorch

wav2vec2

automatic-speech-recognition

mozilla-foundation/common_voice_8_0

generated_from_trainer

common_voice

apache-2.0

endpoints_compatible

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This model is a fine-tuned version of facebook/wav2vec2-xls-r-1b on the MOZILLA-FOUNDATION/COMMON_VOICE_8_0 - GA-IE dataset. It achieves the following results on the evaluation set:

Loss: 0.9810
Wer: 0.4761

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: 2e-05
train_batch_size: 16
eval_batch_size: 16
seed: 42
gradient_accumulation_steps: 2
total_train_batch_size: 32
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 1000
num_epochs: 100.0
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Wer
2.2427	15.15	500	1.4632	0.9481
1.3128	30.3	1000	0.8662	0.6195
0.9403	45.45	1500	0.8163	0.5169
0.6868	60.61	2000	0.8661	0.4858
0.563	75.76	2500	0.9447	0.4867
0.4887	90.91	3000	0.9650	0.4823

Framework versions

Transformers 4.17.0.dev0
Pytorch 1.10.2+cu102
Datasets 1.18.2.dev0
Tokenizers 0.11.0

jcmc/wav2vec-1b-cv8-ir-n

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

jcmc/
wav2vec-1b-cv8-ir-n