You can deploy this model and start earning money today!

willcai/
wav2vec2_common_voice_accents_3

Views

No views yet

wav2vec2_common_voice_accents_3

This model is a fine-tuned version of facebook/wav2vec2-xls-r-300m on the common_voice dataset. It achieves the following results on the evaluation set:

Loss: 0.0042

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: 0.0003
train_batch_size: 48
eval_batch_size: 4
seed: 42
distributed_type: multi-GPU
num_devices: 8
total_train_batch_size: 384
total_eval_batch_size: 32
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 500
num_epochs: 30
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss
4.584	1.27	400	1.1439
0.481	2.55	800	0.1986
0.2384	3.82	1200	0.1060
0.1872	5.1	1600	0.1016
0.158	6.37	2000	0.0942
0.1427	7.64	2400	0.0646
0.1306	8.92	2800	0.0612
0.1197	10.19	3200	0.0423
0.1129	11.46	3600	0.0381
0.1054	12.74	4000	0.0326
0.0964	14.01	4400	0.0293
0.0871	15.29	4800	0.0239
0.0816	16.56	5200	0.0168
0.0763	17.83	5600	0.0202
0.0704	19.11	6000	0.0224
0.0669	20.38	6400	0.0208
0.063	21.66	6800	0.0074
0.0585	22.93	7200	0.0126
0.0548	24.2	7600	0.0086
0.0512	25.48	8000	0.0080
0.0487	26.75	8400	0.0052
0.0455	28.03	8800	0.0062
0.0433	29.3	9200	0.0042

Framework versions

Transformers 4.17.0
Pytorch 1.10.2+cu102
Datasets 1.18.4
Tokenizers 0.11.6

willcai/wav2vec2_common_voice_accents_3

wav2vec2_common_voice_accents_3

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

willcai/
wav2vec2_common_voice_accents_3