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Osolon/
wav2vec2-large-xls-r-300m-pl

Name: wav2vec2-large-xls-r-300m-pl
Availability: InStock

transformers

pytorch

wav2vec2

automatic-speech-recognition

generated_from_trainer

common_voice_10_0

apache-2.0

endpoints_compatible

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wav2vec2-large-xls-r-300m-pl-colab

This model is a fine-tuned version of facebook/wav2vec2-xls-r-300m on the common_voice_10_0 dataset. It achieves the following results on the evaluation set:

Loss: 0.1589
Wer: 0.1338

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: 6e-05
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: 765
num_epochs: 10
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Wer
4.9573	1.31	1000	3.2143	1.0
1.0216	2.61	2000	0.2310	0.2064
0.2925	3.92	3000	0.1888	0.1689
0.2252	5.23	4000	0.1731	0.1507
0.1983	6.54	5000	0.1722	0.1446
0.1757	7.84	6000	0.1637	0.1367
0.1656	9.15	7000	0.1589	0.1338

Framework versions

Transformers 4.21.2
Pytorch 1.11.0+cu113
Datasets 2.4.0
Tokenizers 0.12.1

Osolon/wav2vec2-large-xls-r-300m-pl

wav2vec2-large-xls-r-300m-pl-colab

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

Osolon/
wav2vec2-large-xls-r-300m-pl