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HouraMor/
wav2vec2-ft-lre6-adm-ga1b16

Name: wav2vec2-ft-lre6-adm-ga1b16
Availability: InStock

automatic-speech-recognition

generated_from_trainer

jonatasgrosman/wav2vec2-large-english

finetune

apache-2.0

endpoints_compatible

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wav2vec2-ft-lre6-adm-ga1b16

This model is a fine-tuned version of jonatasgrosman/wav2vec2-large-english on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 0.9080
Wer: 1.0
Cer: 1.0

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: 1e-06
train_batch_size: 16
eval_batch_size: 8
seed: 42
optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 500
training_steps: 10000
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Wer	Cer
1.211	0.2082	1000	1.0226	1.0	1.0
1.1194	0.4165	2000	0.9400	1.0	1.0
0.8982	0.6247	3000	0.8997	1.0	1.0
0.8637	0.8330	4000	0.9401	1.0	1.0
0.8279	1.0412	5000	0.9447	1.0	1.0
0.8102	1.2495	6000	0.9113	1.0	1.0
0.8467	1.4577	7000	0.9032	1.0	1.0
0.8405	1.6660	8000	0.8879	1.0	1.0
0.9392	1.8742	9000	0.8960	1.0	1.0
0.8377	2.0825	10000	0.9080	1.0	1.0

Framework versions

Transformers 4.52.3
Pytorch 2.5.1
Datasets 3.6.0
Tokenizers 0.21.1

HouraMor/wav2vec2-ft-lre6-adm-ga1b16

wav2vec2-ft-lre6-adm-ga1b16

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

HouraMor/
wav2vec2-ft-lre6-adm-ga1b16