transformers tensorboard safetensors whisper automatic-speech-recognition generated_from_trainer base_model:openai/whisper-small license:apache-2.0 endpoints_compatible region:us
---
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- wer
base_model: openai/whisper-small
model-index:
- name: '4'
  results: []
---

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# 4

This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 2.0909
- Wer: 65.6470

## 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: 5e-07
- train_batch_size: 8
- 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: 10
- num_epochs: 1
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss | Wer     |
|:-------------:|:-----:|:----:|:---------------:|:-------:|
| 4.2263        | 0.04  | 10   | 4.0304          | 15.6470 |
| 3.8803        | 0.08  | 20   | 3.6564          | 15.4712 |
| 3.7847        | 0.13  | 30   | 3.2816          | 14.6624 |
| 3.4068        | 0.17  | 40   | 3.0934          | 14.3108 |
| 3.0547        | 0.21  | 50   | 2.9635          | 14.0647 |
| 3.0245        | 0.25  | 60   | 2.8523          | 17.7918 |
| 3.3518        | 0.29  | 70   | 2.7638          | 18.8467 |
| 3.105         | 0.34  | 80   | 2.6917          | 20.8509 |
| 2.8325        | 0.38  | 90   | 2.6234          | 21.3783 |
| 2.8667        | 0.42  | 100  | 2.5582          | 21.4838 |
| 2.7528        | 0.46  | 110  | 2.4994          | 21.2377 |
| 2.8502        | 0.5   | 120  | 2.4430          | 28.0591 |
| 2.5623        | 0.55  | 130  | 2.3898          | 30.5556 |
| 2.877         | 0.59  | 140  | 2.3409          | 36.0056 |
| 2.6492        | 0.63  | 150  | 2.2965          | 45.1828 |
| 2.4119        | 0.67  | 160  | 2.2554          | 60.0563 |
| 2.6273        | 0.71  | 170  | 2.2175          | 73.8045 |
| 2.4091        | 0.76  | 180  | 2.1841          | 70.2883 |
| 2.2931        | 0.8   | 190  | 2.1558          | 74.8242 |
| 2.297         | 0.84  | 200  | 2.1324          | 71.0970 |
| 2.1893        | 0.88  | 210  | 2.1133          | 72.0113 |
| 2.3408        | 0.92  | 220  | 2.0994          | 70.8861 |
| 2.2892        | 0.97  | 230  | 2.0909          | 65.6470 |


### Framework versions

- Transformers 4.38.0.dev0
- Pytorch 2.1.0+cu121
- Datasets 2.16.1
- Tokenizers 0.15.1
