transformers tensorboard safetensors whisper automatic-speech-recognition generated_from_trainer base_model:openai/whisper-tiny license:apache-2.0 endpoints_compatible region:us
---
license: apache-2.0
base_model: openai/whisper-tiny
tags:
- generated_from_trainer
metrics:
- wer
model-index:
- name: whisper-tiny-hi
  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. -->

# whisper-tiny-hi

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: 2.2091
- Wer: 86.2832

## 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: 0.0001
- train_batch_size: 16
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 50
- training_steps: 500
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss | Wer      |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 3.5332        | 3.57  | 25   | 1.7565          | 89.3805  |
| 0.3504        | 7.14  | 50   | 1.6160          | 90.2655  |
| 0.0551        | 10.71 | 75   | 1.8524          | 93.3628  |
| 0.0285        | 14.29 | 100  | 1.9261          | 123.0088 |
| 0.022         | 17.86 | 125  | 2.0688          | 92.9204  |
| 0.0075        | 21.43 | 150  | 2.0535          | 89.3805  |
| 0.0054        | 25.0  | 175  | 2.1533          | 86.7257  |
| 0.0016        | 28.57 | 200  | 2.1682          | 91.1504  |
| 0.001         | 32.14 | 225  | 2.2014          | 87.6106  |
| 0.001         | 35.71 | 250  | 2.1406          | 87.1681  |
| 0.0037        | 39.29 | 275  | 2.1968          | 88.0531  |
| 0.0012        | 42.86 | 300  | 2.1761          | 107.0796 |
| 0.0004        | 46.43 | 325  | 2.1874          | 88.0531  |
| 0.0003        | 50.0  | 350  | 2.2005          | 87.1681  |
| 0.0003        | 53.57 | 375  | 2.2018          | 87.1681  |
| 0.0002        | 57.14 | 400  | 2.2041          | 87.1681  |
| 0.0002        | 60.71 | 425  | 2.2055          | 86.7257  |
| 0.0002        | 64.29 | 450  | 2.2072          | 86.2832  |
| 0.0002        | 67.86 | 475  | 2.2089          | 87.1681  |
| 0.0002        | 71.43 | 500  | 2.2091          | 86.2832  |


### Framework versions

- Transformers 4.37.0.dev0
- Pytorch 2.1.0+cu121
- Datasets 2.15.0
- Tokenizers 0.15.0
