---
license: apache-2.0
base_model: openai/whisper-base
tags:
- generated_from_trainer
datasets:
- arrow
model-index:
- name: '13123'
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# 13123

This model is a fine-tuned version of [openai/whisper-base](https://huggingface.co/openai/whisper-base) on the arrow dataset.
It achieves the following results on the evaluation set:
- Loss: 0.4595
- Cer: 16.7167

## 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: 32
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.01
- training_steps: 4000
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch  | Step | Validation Loss | Cer     |
|:-------------:|:------:|:----:|:---------------:|:-------:|
| 0.5184        | 0.1290 | 1000 | 0.5136          | 17.8441 |
| 0.4716        | 0.2581 | 2000 | 0.4829          | 17.0947 |
| 0.4664        | 0.3871 | 3000 | 0.4666          | 16.9219 |
| 0.4575        | 0.5161 | 4000 | 0.4595          | 16.7167 |


### Framework versions

- Transformers 4.41.0.dev0
- Pytorch 2.3.0+cu121
- Datasets 2.19.0
- Tokenizers 0.19.1