metadata

library_name: transformers
language:
  - en
license: apache-2.0
base_model: openai/whisper-tiny
tags:
  - generated_from_trainer
metrics:
  - wer
model-index:
  - name: sumukhshadakshari/whisper-finetuned-bial2
    results: []

sumukhshadakshari/whisper-finetuned-bial2

This model is a fine-tuned version of openai/whisper-tiny on the bial2 dataset. It achieves the following results on the evaluation set:

Loss: 3.0038
Wer: 187.9253

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: 16
eval_batch_size: 16
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 5
training_steps: 20
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Wer
No log	0.0389	10	3.8057	167.1623
No log	0.0778	20	3.0038	187.9253

Framework versions

Transformers 4.44.1
Pytorch 2.4.1
Datasets 2.19.1
Tokenizers 0.19.1