wav2vec2-bert-mas-ex huggingface.co api & Cafet wav2vec2-bert-mas-ex github AI Model

Introduction of wav2vec2-bert-mas-ex

Model Details of wav2vec2-bert-mas-ex

wav2vec2-bert-mas-ex

This model is a fine-tuned version of facebook/w2v-bert-2.0 on the common_voice_16_0 dataset. It achieves the following results on the evaluation set:

Loss: 0.7763
Wer: 0.6301

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: 5e-05
train_batch_size: 2
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: 300
num_epochs: 5
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Wer
2.424	0.12	300	1.3270	0.8863
1.2288	0.23	600	1.1525	0.8299
1.0443	0.35	900	0.9812	0.7729
1.0082	0.46	1200	0.9045	0.6852
0.8698	0.58	1500	0.9797	0.7063
0.8649	0.69	1800	0.9071	0.6724
0.8268	0.81	2100	0.8387	0.6716
0.8428	0.93	2400	0.8392	0.6623
0.6933	1.04	2700	0.7124	0.5966
0.6618	1.16	3000	0.7056	0.5688
0.6578	1.27	3300	0.7003	0.5708
0.6331	1.39	3600	0.6798	0.5578
0.5873	1.5	3900	0.6993	0.5453
0.6076	1.62	4200	0.6562	0.5268
0.5359	1.74	4500	0.6837	0.5735
0.6807	1.85	4800	0.6495	0.5272
0.5945	1.97	5100	0.6434	0.5058
0.5059	2.08	5400	0.6237	0.4855
0.5244	2.2	5700	0.6334	0.4749
0.5052	2.31	6000	0.6831	0.4976
0.5249	2.43	6300	0.6339	0.4919
0.5537	2.55	6600	0.6541	0.4990
0.6387	2.66	6900	0.8375	0.5829
0.669	2.78	7200	0.9152	0.6289
0.8881	2.89	7500	0.7704	0.6191
1.184	3.01	7800	0.8139	0.6866
1.0933	3.12	8100	0.7721	0.6518
1.3588	3.24	8400	0.7368	0.6152
1.4604	3.36	8700	0.7376	0.6158
1.2902	3.47	9000	0.7451	0.6188
1.3137	3.59	9300	0.7493	0.6194
1.3009	3.7	9600	0.7454	0.6164
1.3757	3.82	9900	0.7515	0.6289
1.2412	3.93	10200	0.7629	0.6237
1.2835	4.05	10500	0.7760	0.6351
1.3803	4.17	10800	0.7718	0.6273
1.325	4.28	11100	0.7763	0.6301
1.3798	4.4	11400	0.7763	0.6301
1.3421	4.51	11700	0.7763	0.6301
1.2834	4.63	12000	0.7763	0.6301
1.4757	4.74	12300	0.7763	0.6301
1.4171	4.86	12600	0.7763	0.6301
1.2838	4.97	12900	0.7763	0.6301

Framework versions

Transformers 4.38.2
Pytorch 2.2.1+cu121
Datasets 2.15.0
Tokenizers 0.15.2

Runs of Cafet wav2vec2-bert-mas-ex on huggingface.co

Total runs

24-hour runs

3-day runs

7-day runs

30-day runs

More Information About wav2vec2-bert-mas-ex huggingface.co Model

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