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-cv-en
    results: []

sumukhshadakshari/whisper-finetuned-cv-en

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

Loss: 1.4536
Wer: 31.4687

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: 500
num_epochs: 3
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Wer
2.6045	1.0	121	2.1470	33.3727
1.6307	2.0	242	1.7560	30.4642
1.2067	3.0	363	1.4536	31.4687

Framework versions

Transformers 4.45.2
Pytorch 2.4.1
Datasets 2.21.0
Tokenizers 0.20.1