wav2vec_asr_swbd_10_epochs

itaihay/wav2vec_asr_swbd_10_epochs

wav2vec_asr_swbd_10_epochs is a automatic speech recognition model from itaihay. 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: Apr 2, 2022
Updated: Apr 5, 2022
SHA: 93a7d678

Model card

From the Hugging Face model README

wav2vec_asr_swbd_10_epochs

This model is a fine-tuned version of facebook/wav2vec2-large-robust-ft-swbd-300h on an unknown dataset. It achieves the following results on the evaluation set:

Loss: nan
Wer: 0.9627

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: 10
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Wer
1.0682	0.22	5000	0.7383	0.4431
0.9143	0.44	10000	0.7182	0.4058
0.8905	0.66	15000	0.6291	0.3987
0.8354	0.87	20000	0.5976	0.3954
0.7749	1.09	25000	0.5773	0.3901
0.7336	1.31	30000	0.5812	0.3871
0.7314	1.53	35000	0.5802	0.3895
0.0	1.75	40000	nan	0.9627
0.0	1.97	45000	nan	0.9627
0.0	2.19	50000	nan	0.9627
0.0	2.4	55000	nan	0.9627
0.0	2.62	60000	nan	0.9627
0.0	2.84	65000	nan	0.9627
0.0	3.06	70000	nan	0.9627
0.0	3.28	75000	nan	0.9627
0.0	3.5	80000	nan	0.9627
0.0	3.72	85000	nan	0.9627
0.0	3.93	90000	nan	0.9627
0.0	4.15	95000	nan	0.9627
0.0	4.37	100000	nan	0.9627
0.0	4.59	105000	nan	0.9627
0.0	4.81	110000	nan	0.9627
0.0	5.03	115000	nan	0.9627
0.0	5.25	120000	nan	0.9627
0.0	5.46	125000	nan	0.9627
0.0	5.68	130000	nan	0.9627
0.0	5.9	135000	nan	0.9627
0.0	6.12	140000	nan	0.9627
0.0	6.34	145000	nan	0.9627
0.0	6.56	150000	nan	0.9627
0.0	6.78	155000	nan	0.9627
0.0	7.0	160000	nan	0.9627
0.0	7.21	165000	nan	0.9627
0.0	7.43	170000	nan	0.9627
0.0	7.65	175000	nan	0.9627
0.0	7.87	180000	nan	0.9627
0.0	8.09	185000	nan	0.9627
0.0	8.31	190000	nan	0.9627
0.0	8.53	195000	nan	0.9627
0.0	8.74	200000	nan	0.9627
0.0	8.96	205000	nan	0.9627
0.0	9.18	210000	nan	0.9627
0.0	9.4	215000	nan	0.9627
0.0	9.62	220000	nan	0.9627
0.0	9.84	225000	nan	0.9627

Framework versions

Transformers 4.17.0
Pytorch 1.11.0+cu113
Datasets 1.18.4
Tokenizers 0.11.6

Task: Automatic Speech Recognition
Library: transformers
Type: wav2vec2
License: apache-2.0
Created: Apr 2, 2022
Updated: Apr 5, 2022