---
library_name: transformers
license: apache-2.0
base_model: openai/whisper-small
tags:
- generated_from_trainer
metrics:
- wer
- bleu
model-index:
- name: whisper-small-FLEURS-GL-EN
  results: []
datasets:
- juanjucm/FLEURS-SpeechT-GL-EN
language:
- gl
---

<!-- 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-FLEURS-GL-EN

This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on [juanjucm/FLEURS-SpeechT-GL-EN](https://huggingface.co/datasets/juanjucm/FLEURS-SpeechT-GL-EN).
It achieves the following results on the evaluation set:
- Loss: 1.6607
- Wer: 67.1683
- Bleu: 22.6201

### 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: 8
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss | Wer     | Bleu    |
|:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|
| 1.3189        | 1.0   | 86   | 1.6608          | 67.1683 | 22.6201 |
| 0.6613        | 2.0   | 172  | 1.6643          | 68.5990 | 21.1576 |
| 0.3492        | 3.0   | 258  | 1.7873          | 69.7046 | 20.7371 |
| 0.1416        | 4.0   | 344  | 1.9098          | 69.9090 | 20.5952 |
| 0.0974        | 5.0   | 430  | 2.0487          | 70.0948 | 20.6740 |
| 0.061         | 6.0   | 516  | 2.1565          | 73.4578 | 19.2411 |
| 0.0384        | 7.0   | 602  | 2.2107          | 73.6622 | 19.5413 |
| 0.0203        | 8.0   | 688  | 2.2476          | 73.9874 | 19.4512 |


### Framework versions

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