You can deploy this model and start earning money today!

nawel-ucsb/
v2-wav2vec2-large-xls-r-300m-french-colab

Name: v2-wav2vec2-large-xls-r-300m-french-colab
Availability: InStock

transformers

pytorch

wav2vec2

automatic-speech-recognition

generated_from_trainer

Views

No views yet

v2-wav2vec2-large-xls-r-300m-french-colab

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: 0.3972
Wer: 0.2154

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: 16
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 2
total_train_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	Wer
0.3672	1.07	400	0.4010	0.3241
0.3467	2.14	800	0.4687	0.3642
0.3223	3.21	1200	0.4495	0.3248
0.3236	4.28	1600	0.4325	0.3289
0.2764	5.35	2000	0.4101	0.3005
0.2554	6.42	2400	0.4211	0.3148
0.2198	7.49	2800	0.4217	0.2946
0.2112	8.56	3200	0.4217	0.2930
0.1813	9.63	3600	0.4110	0.2682
0.1727	10.7	4000	0.3908	0.2791
0.1543	11.76	4400	0.4284	0.2746
0.154	12.83	4800	0.4096	0.2743
0.134	13.9	5200	0.4157	0.2582
0.1207	14.97	5600	0.4057	0.2525
0.1145	16.04	6000	0.4255	0.2498
0.0996	17.11	6400	0.4282	0.2488
0.0971	18.18	6800	0.3763	0.2427
0.0886	19.25	7200	0.3833	0.2473
0.082	20.32	7600	0.3849	0.2402
0.0765	21.39	8000	0.4083	0.2327
0.07	22.46	8400	0.4132	0.2355
0.0601	23.53	8800	0.4124	0.2332
0.0583	24.6	9200	0.3956	0.2248
0.0537	25.67	9600	0.4103	0.2289
0.0487	26.74	10000	0.4050	0.2266
0.0459	27.81	10400	0.3827	0.2173
0.0426	28.88	10800	0.3943	0.2152
0.0386	29.95	11200	0.3972	0.2154

Framework versions

Transformers 4.24.0
Pytorch 1.13.0+cu117
Datasets 2.7.1
Tokenizers 0.13.2

nawel-ucsb/v2-wav2vec2-large-xls-r-300m-french-colab

v2-wav2vec2-large-xls-r-300m-french-colab

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

nawel-ucsb/
v2-wav2vec2-large-xls-r-300m-french-colab