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jiobiala24/
wav2vec2-base-checkpoint-6

Name: wav2vec2-base-checkpoint-6
Availability: InStock

automatic-speech-recognition

generated_from_trainer

common_voice

apache-2.0

endpoints_compatible

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wav2vec2-base-checkpoint-6

This model is a fine-tuned version of jiobiala24/wav2vec2-base-checkpoint-5 on the common_voice dataset. It achieves the following results on the evaluation set:

Loss: 0.9738
Wer: 0.3323

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: 32
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: 30
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Wer
0.3435	1.82	1000	0.5637	0.3419
0.2599	3.65	2000	0.5804	0.3473
0.2043	5.47	3000	0.6481	0.3474
0.1651	7.3	4000	0.6937	0.3452
0.1376	9.12	5000	0.7221	0.3429
0.118	10.95	6000	0.7634	0.3441
0.105	12.77	7000	0.7789	0.3444
0.0925	14.6	8000	0.8209	0.3444
0.0863	16.42	9000	0.8293	0.3440
0.0756	18.25	10000	0.8553	0.3412
0.0718	20.07	11000	0.9006	0.3430
0.0654	21.9	12000	0.9541	0.3458
0.0605	23.72	13000	0.9400	0.3350
0.0552	25.55	14000	0.9547	0.3363
0.0543	27.37	15000	0.9715	0.3348
0.0493	29.2	16000	0.9738	0.3323

Framework versions

Transformers 4.11.3
Pytorch 1.10.0+cu111
Datasets 1.13.3
Tokenizers 0.10.3

jiobiala24/wav2vec2-base-checkpoint-6

wav2vec2-base-checkpoint-6

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

jiobiala24/
wav2vec2-base-checkpoint-6