metadata

language:
  - hi
license: apache-2.0
tags:
  - hf-asr-leaderboard
  - generated_from_trainer
datasets:
  - mozilla-foundation/common_voice_11_0
model-index:
  - name: Whisper Medium Catalan
    results: []

Whisper Medium Catalan

This model is a fine-tuned version of openai/whisper-Medium on the 10 hrs of Catalan Common Voice 11.0 dataset. It achieves the following results on the evaluation set:

eval_loss: 4.9217
eval_wer: 132.1947
eval_runtime: 3848.0596
eval_samples_per_second: 0.78
eval_steps_per_second: 0.78
epoch: 1.14
step: 2000

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: 0.001
train_batch_size: 1
eval_batch_size: 1
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 4
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 500
training_steps: 4000
mixed_precision_training: Native AMP

Framework versions

Transformers 4.27.0.dev0
Pytorch 1.13.1+cu116
Datasets 2.9.0
Tokenizers 0.13.2