---
library_name: transformers
license: apache-2.0
base_model: openai/whisper-small
tags:
- generated_from_trainer
metrics:
- wer
- bleu
model-index:
- name: whisper-small-OpenSLR-GL-EN
  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-OpenSLR-GL-EN

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: 0.3434
- Wer: 30.6658
- Bleu: 70.1070

## 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: 1.25e-05
- train_batch_size: 16
- eval_batch_size: 8
- seed: 42
- distributed_type: multi-GPU
- num_devices: 2
- total_train_batch_size: 32
- total_eval_batch_size: 16
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 5
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss | Wer     | Bleu    |
|:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|
| 0.6437        | 1.0   | 131  | 0.5877          | 38.9863 | 55.0646 |
| 0.1773        | 2.0   | 262  | 0.4173          | 35.4619 | 65.1019 |
| 0.5521        | 3.0   | 393  | 0.3602          | 27.1687 | 69.0765 |
| 0.1255        | 4.0   | 524  | 0.3463          | 25.5246 | 70.7943 |
| 0.1548        | 5.0   | 655  | 0.3434          | 30.6658 | 70.1070 |


### Framework versions

- Transformers 4.45.1
- Pytorch 2.4.1+cu121
- Datasets 3.0.1
- Tokenizers 0.20.0