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MarioNapoli/
DynamicWav2Vec_TEST_13

Name: DynamicWav2Vec_TEST_13
Availability: InStock

transformers

pytorch

wav2vec2

generated_from_trainer

common_voice_1_0

joaoalvarenga/wav2vec2-large-xlsr-italian

finetune

apache-2.0

endpoints_compatible

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DynamicWav2Vec_TEST_13

This model is a fine-tuned version of joorock12/wav2vec2-large-xlsr-italian on the common_voice_1_0 dataset. It achieves the following results on the evaluation set:

Loss: 0.4088
Wer: 0.2051

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: 0.0001
train_batch_size: 4
eval_batch_size: 4
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 500
num_epochs: 5

Training results

Training Loss	Epoch	Step	Validation Loss	Wer
0.5677	1.67	5	0.4480	0.2308
0.595	3.33	10	0.4149	0.2564
0.5867	5.0	15	0.4088	0.2051

Framework versions

Transformers 4.34.0
Pytorch 2.0.1+cu118
Datasets 2.14.5
Tokenizers 0.14.1

MarioNapoli/DynamicWav2Vec_TEST_13

DynamicWav2Vec_TEST_13

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

MarioNapoli/
DynamicWav2Vec_TEST_13