---
license: apache-2.0
base_model: PThi35/whisper_medium_phase2
tags:
- generated_from_trainer
metrics:
- wer
model-index:
- name: whisper_medium_phase2
  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_phase2

This model is a fine-tuned version of [PThi35/whisper_medium_phase2](https://huggingface.co/PThi35/whisper_medium_phase2) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.8362
- Cer: 18.6667
- Wer: 29.4586

## 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: 2
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 2
- 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: 1000
- num_epochs: 8
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch  | Step  | Cer     | Validation Loss | Wer     |
|:-------------:|:------:|:-----:|:-------:|:---------------:|:-------:|
| 0.5275        | 0.9999 | 4709  | 22.0874 | 0.7764          | 35.0416 |
| 0.5415        | 2.0    | 9419  | 20.0444 | 0.7521          | 31.8854 |
| 0.4568        | 2.9999 | 14128 | 19.6955 | 0.7660          | 30.9815 |
| 0.3943        | 4.0    | 18838 | 19.4005 | 0.7752          | 30.7362 |
| 0.3481        | 4.9995 | 23545 | 18.6947 | 0.7911          | 29.7321 |
| 0.351         | 5.9999 | 28254 | 0.8078  | 18.9302         | 29.9617 |
| 0.3149        | 7.0    | 32964 | 0.8259  | 18.9425         | 29.8582 |
| 0.2879        | 7.9997 | 37672 | 0.8362  | 18.6667         | 29.4586 |


### Framework versions

- Transformers 4.41.2
- Pytorch 2.1.2+cu118
- Datasets 2.19.0
- Tokenizers 0.19.1