---
license: apache-2.0
base_model: openai/whisper-tiny
tags:
- generated_from_trainer
metrics:
- bleu
- wer
model-index:
- name: Whisper Tiny GA-EN Speech Translation
  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 Tiny GA-EN Speech Translation

This model is a fine-tuned version of [openai/whisper-tiny](https://huggingface.co./openai/whisper-tiny) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 2.7758
- Bleu: 15.81
- Chrf: 32.03
- Wer: 96.3980

## 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: 0.0001
- train_batch_size: 128
- eval_batch_size: 128
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 0.03
- training_steps: 1000
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss | Bleu  | Chrf  | Wer      |
|:-------------:|:-----:|:----:|:---------------:|:-----:|:-----:|:--------:|
| 0.9302        | 0.74  | 100  | 2.1831          | 8.7   | 24.4  | 114.2729 |
| 0.3304        | 1.48  | 200  | 2.2829          | 11.34 | 28.63 | 115.6686 |
| 0.1095        | 2.22  | 300  | 2.4409          | 11.35 | 29.53 | 117.4696 |
| 0.0781        | 2.96  | 400  | 2.5060          | 12.55 | 29.32 | 110.1306 |
| 0.0506        | 3.7   | 500  | 2.6288          | 16.65 | 31.61 | 91.9856  |
| 0.041         | 4.44  | 600  | 2.6641          | 15.82 | 31.65 | 96.1279  |
| 0.0335        | 5.19  | 700  | 2.7090          | 17.56 | 32.23 | 90.4998  |
| 0.0296        | 5.93  | 800  | 2.7257          | 16.61 | 32.11 | 93.0662  |
| 0.0278        | 6.67  | 900  | 2.7528          | 15.38 | 31.57 | 95.7226  |
| 0.0217        | 7.41  | 1000 | 2.7758          | 15.81 | 32.03 | 96.3980  |


### Framework versions

- Transformers 4.39.2
- Pytorch 2.2.1+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2