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pnparam/
PNP_dys_asr_960h

Name: PNP_dys_asr_960h
Availability: InStock

automatic-speech-recognition

generated_from_trainer

apache-2.0

endpoints_compatible

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PNP_dys_asr_960h

This model is a fine-tuned version of facebook/wav2vec2-large-960h-lv60-self on the None dataset. It achieves the following results on the evaluation set:

Loss: 0.7169
Wer: 1.4123

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: 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: 1000
num_epochs: 7
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Wer
9.4668	1.63	500	2.6987	1.0226
2.0533	3.26	1000	1.0528	2.4236
0.4828	4.89	1500	0.7560	1.3358
0.1604	6.51	2000	0.7169	1.4123

Framework versions

Transformers 4.17.0
Pytorch 1.13.1+cu116
Datasets 1.18.3
Tokenizers 0.13.2

pnparam/PNP_dys_asr_960h

PNP_dys_asr_960h

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

pnparam/
PNP_dys_asr_960h