metadata

library_name: transformers
language:
  - eo
license: apache-2.0
base_model: openai/whisper-small
tags:
  - generated_from_trainer
datasets:
  - mozilla-foundation/common_voice_6_1
model-index:
  - name: Whisper Small Esperanto
    results: []

Whisper Small Esperanto

This model is a fine-tuned version of openai/whisper-small on the Common Voice 6.1 dataset. It achieves the following results on the evaluation set:

eval_loss: 0.2157
eval_wer: 16.8844
eval_runtime: 444.7648
eval_samples_per_second: 3.373
eval_steps_per_second: 0.423
epoch: 0.9798
step: 1750

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: 1e-05
train_batch_size: 8
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 2
total_train_batch_size: 16
optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 500
training_steps: 4000
mixed_precision_training: Native AMP

Framework versions

Transformers 4.49.0
Pytorch 2.6.0+cu124
Datasets 2.21.0
Tokenizers 0.21.1