Modelpublic

itaihay/wav2vec_asr_swbd_10_epochs

sourceHugging Faceapache-2.0updated 4y agoView on Hugging Face

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wav2vecasrswbd10epochs

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
—trainbatchsize: 8
—evalbatchsize: 8
—seed: 42
—optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
—lrschedulertype: linear
—lrschedulerwarmup_steps: 1000
—num_epochs: 10
—mixedprecisiontraining: 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