---
library_name: peft
license: apache-2.0
base_model: openai/whisper-medium
tags:
- generated_from_trainer
metrics:
- wer
model-index:
- name: whisper-medium-cdsd1h-lora
  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-cdsd1h-lora

This model is a fine-tuned version of [openai/whisper-medium](https://huggingface.co/openai/whisper-medium) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.8196
- Wer: 68.7556
- Cer: 42.4589

## 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: 0.001
- train_batch_size: 16
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 100
- num_epochs: 5
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss | Wer     | Cer     |
|:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|
| 0.8709        | 1.0   | 559  | 0.9190          | 78.1558 | 48.5899 |
| 0.6026        | 2.0   | 1118 | 0.8174          | 73.1871 | 45.7778 |
| 0.3343        | 3.0   | 1677 | 0.7864          | 70.3223 | 41.8295 |
| 0.1663        | 4.0   | 2236 | 0.7846          | 68.8004 | 44.3636 |
| 0.0664        | 5.0   | 2795 | 0.8196          | 68.7556 | 42.4589 |


### Framework versions

- PEFT 0.13.2
- Transformers 4.44.2
- Pytorch 2.0.0+cu118
- Datasets 2.19.1
- Tokenizers 0.19.1