---
license: apache-2.0
base_model: openai/whisper-small
tags:
- generated_from_trainer
metrics:
- wer
model-index:
- name: whisper-small-hi-2
  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-small-hi-2

This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.2909
- Wer: 7.6142

## 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: 4
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- training_steps: 1000
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss | Wer    |
|:-------------:|:-----:|:----:|:---------------:|:------:|
| 0.1271        | 2.63  | 100  | 0.2529          | 7.3604 |
| 0.0246        | 5.26  | 200  | 0.2495          | 8.6294 |
| 0.0087        | 7.89  | 300  | 0.2712          | 8.8832 |
| 0.0011        | 10.53 | 400  | 0.2693          | 8.8832 |
| 0.0002        | 13.16 | 500  | 0.2760          | 8.6294 |
| 0.0002        | 15.79 | 600  | 0.2853          | 7.8680 |
| 0.0001        | 18.42 | 700  | 0.2866          | 7.6142 |
| 0.0001        | 21.05 | 800  | 0.2889          | 7.6142 |
| 0.0001        | 23.68 | 900  | 0.2904          | 7.6142 |
| 0.0001        | 26.32 | 1000 | 0.2909          | 7.6142 |


### Framework versions

- Transformers 4.40.0.dev0
- Pytorch 2.2.1+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2