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tsrivatsav/
wav2vec2-large-xls-r-300m-en-libri-more-steps

Name: wav2vec2-large-xls-r-300m-en-libri-more-steps
Availability: InStock

automatic-speech-recognition

generated_from_trainer

librispeech_asr

apache-2.0

endpoints_compatible

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wav2vec2-large-xls-r-300m-en-libri-more-steps

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

Loss: 1.7624
Wer: 0.8772
Cer: 0.3762

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: 0.001
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: 100
num_epochs: 20

Training results

Training Loss	Epoch	Step	Validation Loss	Wer	Cer
No log	1.94	33	2.9987	1.0	1.0
No log	3.88	66	2.8951	1.0	1.0
No log	5.82	99	2.8732	1.0	1.0
3.781	7.76	132	2.6057	1.0	1.0
3.781	9.71	165	1.9015	1.0154	0.5616
3.781	11.65	198	1.5226	0.9263	0.4462
2.2258	13.59	231	1.5116	0.8913	0.3967
2.2258	15.53	264	1.5634	0.8922	0.3842
2.2258	17.47	297	1.7016	0.8876	0.3796
0.7946	19.41	330	1.7624	0.8772	0.3762

Framework versions

Transformers 4.20.1
Pytorch 1.11.0+cpu
Datasets 1.18.3
Tokenizers 0.12.1

tsrivatsav/wav2vec2-large-xls-r-300m-en-libri-more-steps

wav2vec2-large-xls-r-300m-en-libri-more-steps

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

tsrivatsav/
wav2vec2-large-xls-r-300m-en-libri-more-steps