metadata

license: apache-2.0
base_model: facebook/wav2vec2-xls-r-300m
tags:
  - generated_from_trainer
datasets:
  - google/fleurs
model-index:
  - name: wav2vec2-xls-r-300m-fleurs-mk
    results: []
language:
  - mk

wav2vec2-xls-r-300m-fleurs-mk

This model is a fine-tuned version of facebook/wav2vec2-xls-r-300m for the Macedonian language using the train and validation splits of the FLEURS dataset. It achieves the following results on the evaluation set:

Loss: 0.1416
WER: 0.1565

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: 8
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 2
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: 9.3
mixed_precision_training: Native AMP

Framework versions

Transformers 4.35.2
Pytorch 2.1.0+cu121
Datasets 2.17.0
Tokenizers 0.15.1