---
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- wer
model-index:
- name: whisper-tiny-fluers_V2_telugu_Augmentation_bf16
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# whisper-tiny-fluers_V2_telugu_Augmentation_bf16

This model is a fine-tuned version of [openai/whisper-tiny](https://huggingface.co/openai/whisper-tiny) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.5041
- Wer: 60.0

## 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: 1.5e-05
- train_batch_size: 8
- eval_batch_size: 8
- 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: linear
- lr_scheduler_warmup_steps: 500
- training_steps: 4000

### Training results

| Training Loss | Epoch | Step | Validation Loss | Wer     |
|:-------------:|:-----:|:----:|:---------------:|:-------:|
| 0.0846        | 2.72  | 300  | 0.3169          | 83.05   |
| 0.065         | 5.44  | 600  | 0.3526          | 68.65   |
| 0.0379        | 8.15  | 900  | 0.3954          | 65.75   |
| 0.0253        | 10.9  | 1200 | 0.4391          | 62.9500 |
| 0.0147        | 13.62 | 1500 | 0.4715          | 59.0500 |
| 0.0094        | 16.35 | 1800 | 0.5041          | 60.0    |


### Framework versions

- Transformers 4.28.0.dev0
- Pytorch 1.12.1
- Datasets 2.11.0
- Tokenizers 0.13.3