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Plim/
xls-r-1b-fr

Name: xls-r-1b-fr
Availability: InStock

transformers

pytorch

wav2vec2

automatic-speech-recognition

mozilla-foundation/common_voice_7_0

generated_from_trainer

apache-2.0

endpoints_compatible

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This model is a fine-tuned version of facebook/wav2vec2-xls-r-1b on the MOZILLA-FOUNDATION/COMMON_VOICE_7_0 - FR dataset. It achieves the following results on the evaluation set:

Loss: 0.2464
Wer: 0.2220

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: 7.5e-05
train_batch_size: 16
eval_batch_size: 16
seed: 42
gradient_accumulation_steps: 8
total_train_batch_size: 128
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 2000
num_epochs: 5.0
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Wer
1.0326	0.32	1000	0.3092	0.2718
1.0828	0.65	2000	0.2843	0.2606
1.0771	0.97	3000	0.2774	0.2488
1.0306	1.3	4000	0.2588	0.2351
1.0052	1.62	5000	0.2483	0.2284
0.9865	1.94	6000	0.2464	0.2220
0.978	2.27	7000	0.2514	0.2172
1.7438	2.59	8000	0.7983	0.5072
2.3309	2.92	9000	1.8917	0.9416
2.1834	3.24	10000	1.7496	0.9030
2.3047	3.56	11000	1.5377	0.8747
2.1378	3.89	12000	1.3501	0.7923
1.9812	4.21	13000	1.2662	0.7697
2.6855	4.54	14000	2.4120	0.9902
2.7482	4.86	15000	2.5341	0.9874

Framework versions

Transformers 4.17.0.dev0
Pytorch 1.10.2+cu102
Datasets 1.18.2.dev0
Tokenizers 0.11.0

Plim/xls-r-1b-fr

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

Plim/
xls-r-1b-fr