---
library_name: transformers
license: apache-2.0
base_model: openai/whisper-large
tags:
- generated_from_trainer
metrics:
- wer
model-index:
- name: Whisper Large SSD superU
  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 Large SSD superU

This model is a fine-tuned version of [openai/whisper-large](https://huggingface.co/openai/whisper-large) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 4.2685
- Wer: 166.6349

## 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: 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: 500
- training_steps: 2000
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch  | Step | Validation Loss | Wer      |
|:-------------:|:------:|:----:|:---------------:|:--------:|
| 4.1121        | 3.125  | 100  | 3.5671          | 154.6120 |
| 2.6613        | 6.25   | 200  | 2.8860          | 158.7150 |
| 1.8679        | 9.375  | 300  | 2.8342          | 143.7977 |
| 1.1096        | 12.5   | 400  | 3.0283          | 167.7163 |
| 0.563         | 15.625 | 500  | 3.2773          | 167.3982 |
| 0.2032        | 18.75  | 600  | 3.4815          | 167.4618 |
| 0.0899        | 21.875 | 700  | 3.6164          | 151.9720 |
| 0.0431        | 25.0   | 800  | 3.7659          | 154.4211 |
| 0.0262        | 28.125 | 900  | 3.8327          | 188.4860 |
| 0.0264        | 31.25  | 1000 | 3.8547          | 173.1234 |
| 0.0118        | 34.375 | 1100 | 3.9458          | 184.9237 |
| 0.0076        | 37.5   | 1200 | 4.0480          | 178.3079 |
| 0.0036        | 40.625 | 1300 | 4.1518          | 159.7964 |
| 0.0014        | 43.75  | 1400 | 4.1739          | 164.6310 |
| 0.0011        | 46.875 | 1500 | 4.2014          | 173.6641 |
| 0.001         | 50.0   | 1600 | 4.2262          | 147.2646 |
| 0.001         | 53.125 | 1700 | 4.2510          | 159.1921 |
| 0.0009        | 56.25  | 1800 | 4.2570          | 168.0025 |
| 0.0009        | 59.375 | 1900 | 4.2650          | 166.7621 |
| 0.0008        | 62.5   | 2000 | 4.2685          | 166.6349 |


### Framework versions

- Transformers 4.44.2
- Pytorch 2.4.0+cu121
- Datasets 2.21.0
- Tokenizers 0.19.1