---
base_model: distil-whisper/distil-large-v2
library_name: peft
license: mit
metrics:
- wer
tags:
- generated_from_trainer
model-index:
- name: distil-whisper-large-v2
  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. -->

[<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width="200" height="32"/>](https://wandb.ai/aisha-STT/aisha-STT/runs/683164za)
# distil-whisper-large-v2

This model is a fine-tuned version of [distil-whisper/distil-large-v2](https://huggingface.co/distil-whisper/distil-large-v2) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 7.1657
- Wer Ortho: 100.0
- Wer: 100.0

## 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: 4
- eval_batch_size: 4
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: constant_with_warmup
- lr_scheduler_warmup_steps: 500
- num_epochs: 10

### Training results

| Training Loss | Epoch | Step | Validation Loss | Wer Ortho | Wer   |
|:-------------:|:-----:|:----:|:---------------:|:---------:|:-----:|
| 8.0272        | 1.0   | 3    | 7.0930          | 100.0     | 100.0 |
| 8.4161        | 2.0   | 6    | 7.1227          | 100.0     | 100.0 |
| 8.1907        | 3.0   | 9    | 7.1657          | 100.0     | 100.0 |
| 8.12          | 4.0   | 12   | 7.1657          | 100.0     | 100.0 |


### Framework versions

- PEFT 0.13.2
- Transformers 4.45.2
- Pytorch 2.4.1+cu121
- Datasets 3.0.1
- Tokenizers 0.20.1