metadata

license: apache-2.0
base_model: jonatasgrosman/wav2vec2-xls-r-1b-portuguese
tags:
  - generated_from_trainer
metrics:
  - wer
model-index:
  - name: wav2vec2-xls-r-1b-medical-domain
    results: []

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