---
language:
- es
license: apache-2.0
base_model: openai/whisper-medium
tags:
- generated_from_trainer
metrics:
- wer
model-index:
- name: FT-Spanish-openai/whisper-medium
  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. -->

# FT-Spanish-openai/whisper-medium

This model is a fine-tuned version of [openai/whisper-medium](https://huggingface.co/openai/whisper-medium) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0000
- Wer: 0.0

## 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: 1
- eval_batch_size: 1
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 4
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- training_steps: 4000
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss | Wer    |
|:-------------:|:-----:|:----:|:---------------:|:------:|
| 0.0134        | 4.83  | 250  | 0.0090          | 3.1136 |
| 0.0204        | 9.66  | 500  | 0.0153          | 2.9471 |
| 0.0248        | 14.49 | 750  | 0.0164          | 2.8472 |
| 0.0062        | 19.32 | 1000 | 0.0033          | 0.2581 |
| 0.0032        | 24.15 | 1250 | 0.0031          | 0.0833 |
| 0.0023        | 28.99 | 1500 | 0.0004          | 0.0083 |
| 0.0001        | 33.82 | 1750 | 0.0001          | 0.0    |
| 0.0           | 38.65 | 2000 | 0.0000          | 0.0    |
| 0.0           | 43.48 | 2250 | 0.0000          | 0.0    |
| 0.0           | 48.31 | 2500 | 0.0000          | 0.0    |
| 0.0           | 53.14 | 2750 | 0.0000          | 0.0    |
| 0.0           | 57.97 | 3000 | 0.0000          | 0.0    |
| 0.0           | 62.8  | 3250 | 0.0000          | 0.0    |
| 0.0           | 67.63 | 3500 | 0.0000          | 0.0    |
| 0.0           | 72.46 | 3750 | 0.0000          | 0.0    |
| 0.0           | 77.29 | 4000 | 0.0000          | 0.0    |


### Framework versions

- Transformers 4.35.2
- Pytorch 2.0.1+cu117
- Datasets 2.15.0
- Tokenizers 0.15.0