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greenw0lf/
wav2vec2-large-xls-r-1b-frisian

Name: wav2vec2-large-xls-r-1b-frisian
Availability: InStock

transformers

pytorch

wav2vec2

automatic-speech-recognition

generated_from_trainer

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wav2vec2-large-xls-r-1b-frisian

This model is a fine-tuned version of facebook/wav2vec2-xls-r-1b on the common_voice_13_0 dataset. It achieves the following results on the evaluation set:

Loss: 0.2204
Wer: 0.1493

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: 7e-05
train_batch_size: 16
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 2
total_train_batch_size: 32
optimizer: Adam with betas=(0.9,0.98) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_ratio: 0.1
num_epochs: 30
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Wer
4.9606	2.45	300	2.6184	1.0
1.4992	4.9	600	0.4233	0.4143
0.9757	7.35	900	0.2765	0.3021
0.8773	9.8	1200	0.2529	0.2528
0.7448	12.24	1500	0.2363	0.2258
0.7039	14.69	1800	0.2258	0.2103
0.6811	17.14	2100	0.2217	0.2074
0.6279	19.59	2400	0.2050	0.1915
0.5938	22.04	2700	0.2229	0.1922
0.6227	24.49	3000	0.2088	0.2019
0.5682	26.94	3300	0.2127	0.1874
0.5939	29.39	3600	0.2044	0.1789
0.5427	31.84	3900	0.2185	0.1791
0.5551	34.41	4200	0.2097	0.1644
0.5021	36.86	4500	0.2180	0.1678
0.4589	39.31	4800	0.2076	0.1581
0.5204	41.76	5100	0.2181	0.1587
0.512	44.21	5400	0.2263	0.1607
0.465	46.66	5700	0.2204	0.1493

Framework versions

Transformers 4.28.1
Pytorch 2.0.0+cu117
Datasets 2.11.0
Tokenizers 0.13.3

greenw0lf/wav2vec2-large-xls-r-1b-frisian

wav2vec2-large-xls-r-1b-frisian

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

greenw0lf/
wav2vec2-large-xls-r-1b-frisian