---
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: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->

# sumukhshadakshari/whisper-finetuned-cv-en

This model is a fine-tuned version of [openai/whisper-tiny](https://huggingface.co/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