metadata

language:
  - bn
license: apache-2.0
base_model: openai/whisper-small
tags:
  - generated_from_trainer
model-index:
  - name: whisper-small bengali
    results: []

whisper-small bengali

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

eval_loss: 0.1069
eval_wer_ortho: 0.3909
eval_wer: 0.1697
eval_runtime: 31948.7278
eval_samples_per_second: 0.926
eval_steps_per_second: 0.463
epoch: 0.1
step: 1500

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: 2
seed: 42
gradient_accumulation_steps: 8
total_train_batch_size: 64
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: constant_with_warmup
lr_scheduler_warmup_steps: 50
training_steps: 4000

Framework versions

Transformers 4.32.0.dev0
Pytorch 2.0.1
Datasets 2.13.1
Tokenizers 0.13.3