---
license: apache-2.0
base_model: openai/whisper-tiny.en
tags:
- generated_from_trainer
metrics:
- wer
model-index:
- name: veract-11-biov3.en
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# veract-11-biov3.en

This model is a fine-tuned version of [openai/whisper-tiny.en](https://huggingface.co/openai/whisper-tiny.en) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 5.2953
- Wer: 123.8095

## 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: 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

### Training results

| Training Loss | Epoch | Step | Validation Loss | Wer      |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 0.138         | 100.0 | 100  | 5.4546          | 119.0476 |
| 0.0191        | 200.0 | 200  | 5.2962          | 119.0476 |
| 0.0038        | 300.0 | 300  | 5.2987          | 123.8095 |
| 0.0021        | 400.0 | 400  | 5.2961          | 123.8095 |
| 0.0017        | 500.0 | 500  | 5.2953          | 123.8095 |


### Framework versions

- Transformers 4.35.2
- Pytorch 2.1.0+cu121
- Datasets 2.15.0
- Tokenizers 0.15.0