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thanhduycao/
wav2vec2-baseline

Name: wav2vec2-baseline
Availability: InStock

transformers

pytorch

wav2vec2

automatic-speech-recognition

quocanh34/asr_spoken_norm_train_data

generated_from_trainer

nguyenvulebinh/wav2vec2-base-vi

finetune

cc-by-nc-4.0

endpoints_compatible

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wav2vec2-baseline

This model is a fine-tuned version of nguyenvulebinh/wav2vec2-base-vi on the QUOCANH34/ASR_SPOKEN_NORM_TRAIN_DATA - NA dataset. It achieves the following results on the evaluation set:

Loss: nan
Wer: 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: 8e-06
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: 500
num_epochs: 30.0

Training results

Training Loss	Epoch	Step	Validation Loss	Wer
No log	0.43	100	inf	1.2580
No log	0.85	200	inf	1.0
No log	1.28	300	inf	1.0
No log	1.71	400	inf	1.0
12.36	2.14	500	inf	1.0
12.36	2.56	600	inf	1.0
12.36	2.99	700	inf	1.0
12.36	3.42	800	inf	1.0
12.36	3.85	900	inf	1.0
8.4674	4.27	1000	inf	1.0
8.4674	4.7	1100	inf	1.0
8.4674	5.13	1200	inf	1.0
8.4674	5.56	1300	inf	1.0
8.4674	5.98	1400	inf	1.0
6.9866	6.41	1500	inf	1.0
6.9866	6.84	1600	inf	1.0
6.9866	7.26	1700	inf	1.0
6.9866	7.69	1800	inf	1.0
6.9866	8.12	1900	inf	1.0
6.8089	8.55	2000	inf	1.0
6.8089	8.97	2100	inf	1.0
6.8089	9.4	2200	inf	1.0
6.8089	9.83	2300	inf	1.0
6.8089	10.26	2400	inf	1.0
6.7847	10.68	2500	inf	1.0
6.7847	11.11	2600	inf	1.0
6.7847	11.54	2700	inf	1.0
6.7847	11.97	2800	inf	1.0
6.7847	12.39	2900	inf	1.0
6.7941	12.82	3000	inf	1.0
6.7941	13.25	3100	inf	1.0
6.7941	13.68	3200	inf	1.0
6.7941	14.1	3300	inf	1.0
6.7941	14.53	3400	inf	1.0
6.7956	14.96	3500	inf	1.0
6.7956	15.38	3600	inf	1.0
6.7956	15.81	3700	inf	1.0
6.7956	16.24	3800	inf	1.0
6.7956	16.67	3900	inf	1.0
6.8102	17.09	4000	inf	1.0
6.8102	17.52	4100	inf	1.0
6.8102	17.95	4200	inf	1.0
6.8102	18.38	4300	inf	1.0
6.8102	18.8	4400	inf	1.0
6.7761	19.23	4500	inf	1.0
6.7761	19.66	4600	inf	1.0
6.7761	20.09	4700	inf	1.0
6.7761	20.51	4800	inf	1.0
6.7761	20.94	4900	inf	1.0
6.8063	21.37	5000	inf	1.0
6.8063	21.79	5100	inf	1.0
6.8063	22.22	5200	inf	1.0
6.8063	22.65	5300	inf	1.0
6.8063	23.08	5400	inf	1.0
6.7934	23.5	5500	inf	1.0
6.7934	23.93	5600	inf	1.0
6.7934	24.36	5700	inf	1.0
6.7934	24.79	5800	inf	1.0
6.7934	25.21	5900	inf	1.0
6.7819	25.64	6000	inf	1.0
6.7819	26.07	6100	inf	1.0
6.7819	26.5	6200	inf	1.0
6.7819	26.92	6300	inf	1.0
6.7819	27.35	6400	inf	1.0
6.8278	27.78	6500	inf	1.0
6.8278	28.21	6600	inf	1.0
6.8278	28.63	6700	inf	1.0
6.8278	29.06	6800	nan	1.0
6.8278	29.49	6900	nan	1.0
6.7427	29.91	7000	nan	1.0

Framework versions

Transformers 4.33.0.dev0
Pytorch 2.0.0
Datasets 2.14.4
Tokenizers 0.13.3

thanhduycao/wav2vec2-baseline

wav2vec2-baseline

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

thanhduycao/
wav2vec2-baseline