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wav2vec2-xls-r-1b-medical-domain – AI Model by medtalkai | AlphaNeural AI
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wav2vec2-xls-r-1b-medical-domain
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transformers
tensorboard
safetensors
wav2vec2
automatic-speech-recognition
generated_from_trainer
jonatasgrosman/wav2vec2-xls-r-1b-portuguese
finetune
apache-2.0
endpoints_compatible
us
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wav2vec2-xls-r-1b-medical-domain
This model is a fine-tuned version of
jonatasgrosman/wav2vec2-xls-r-1b-portuguese
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 0.5363
Wer: 0.7022
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: 0.0003
train_batch_size: 2
eval_batch_size: 1
seed: 42
gradient_accumulation_steps: 8
total_train_batch_size: 16
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 500
num_epochs: 20
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
Wer
No log
9.9379
200
0.2631
0.3790
1.2151
19.8758
400
0.5363
0.7022
Framework versions
Transformers 4.41.1
Pytorch 2.1.2+cu121
Datasets 2.19.1
Tokenizers 0.19.1
