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

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: 3.6073
- Bleu: 0.22
- Chrf: 12.93
- Wer: 104.3224

## 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: 0.0003
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 32
- 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       |
|:-------------:|:-----:|:----:|:---------------:|:----:|:-----:|:---------:|
| 4.698         | 0.11  | 100  | 4.6156          | 0.0  | 1.58  | 1852.0486 |
| 4.2397        | 0.22  | 200  | 4.0051          | 0.06 | 4.23  | 206.9338  |
| 3.8768        | 0.32  | 300  | 3.7864          | 0.18 | 5.21  | 97.9739   |
| 3.8755        | 0.43  | 400  | 3.6008          | 0.19 | 5.28  | 96.0378   |
| 3.529         | 0.54  | 500  | 3.5774          | 0.29 | 6.96  | 108.0144  |
| 3.32          | 0.65  | 600  | 3.5197          | 0.23 | 8.97  | 99.3697   |
| 3.3073        | 0.76  | 700  | 3.5056          | 0.49 | 9.43  | 104.0973  |
| 3.1893        | 0.86  | 800  | 3.5861          | 0.32 | 12.86 | 114.3629  |
| 3.0739        | 0.97  | 900  | 3.5003          | 0.6  | 12.1  | 101.3057  |
| 2.7718        | 1.08  | 1000 | 3.6073          | 0.22 | 12.93 | 104.3224  |


### Framework versions

- Transformers 4.39.3
- Pytorch 2.2.1+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2