---
license: apache-2.0
base_model: openai/whisper-large-v3
tags:
- generated_from_trainer
metrics:
- wer
model-index:
- name: COPAS-withctrl-whisper-lg-3-Dec4
  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. -->

# COPAS-withctrl-whisper-lg-3-Dec4

This model is a fine-tuned version of [openai/whisper-large-v3](https://huggingface.co/openai/whisper-large-v3) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0830
- Wer: 22.8522

## 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: 8
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 16
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 100
- num_epochs: 100
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch   | Step | Validation Loss | Wer     |
|:-------------:|:-------:|:----:|:---------------:|:-------:|
| 0.7468        | 1.2048  | 100  | 0.3724          | 30.8849 |
| 0.1779        | 2.4096  | 200  | 0.1806          | 26.6323 |
| 0.0631        | 3.6145  | 300  | 0.1187          | 25.4296 |
| 0.031         | 4.8193  | 400  | 0.1113          | 25.2148 |
| 0.0165        | 6.0241  | 500  | 0.0997          | 25.0    |
| 0.0104        | 7.2289  | 600  | 0.1012          | 23.7328 |
| 0.0062        | 8.4337  | 700  | 0.1017          | 25.3651 |
| 0.0053        | 9.6386  | 800  | 0.0928          | 24.0979 |
| 0.0051        | 10.8434 | 900  | 0.0956          | 24.9356 |
| 0.004         | 12.0482 | 1000 | 0.0868          | 23.3462 |
| 0.0018        | 13.2530 | 1100 | 0.0907          | 23.9905 |
| 0.0022        | 14.4578 | 1200 | 0.0915          | 23.3247 |
| 0.0025        | 15.6627 | 1300 | 0.0871          | 23.1744 |
| 0.0029        | 16.8675 | 1400 | 0.0930          | 23.8832 |
| 0.0025        | 18.0723 | 1500 | 0.0909          | 23.8617 |
| 0.0029        | 19.2771 | 1600 | 0.0818          | 23.0455 |
| 0.0027        | 20.4819 | 1700 | 0.0984          | 24.1409 |
| 0.0015        | 21.6867 | 1800 | 0.0904          | 23.8832 |
| 0.0009        | 22.8916 | 1900 | 0.0933          | 23.5610 |
| 0.0013        | 24.0964 | 2000 | 0.0917          | 23.9261 |
| 0.0016        | 25.3012 | 2100 | 0.0881          | 23.7758 |
| 0.0037        | 26.5060 | 2200 | 0.0983          | 24.4416 |
| 0.0039        | 27.7108 | 2300 | 0.1022          | 25.0215 |
| 0.0027        | 28.9157 | 2400 | 0.0839          | 23.4536 |
| 0.0032        | 30.1205 | 2500 | 0.0768          | 23.8617 |
| 0.0012        | 31.3253 | 2600 | 0.0810          | 24.8497 |
| 0.0006        | 32.5301 | 2700 | 0.0809          | 24.8926 |
| 0.0012        | 33.7349 | 2800 | 0.0738          | 23.7543 |
| 0.0012        | 34.9398 | 2900 | 0.0730          | 23.8187 |
| 0.0015        | 36.1446 | 3000 | 0.0793          | 23.5180 |
| 0.0015        | 37.3494 | 3100 | 0.0813          | 23.9046 |
| 0.0008        | 38.5542 | 3200 | 0.0784          | 23.2603 |
| 0.0006        | 39.7590 | 3300 | 0.0844          | 22.9596 |
| 0.0006        | 40.9639 | 3400 | 0.0798          | 21.9502 |
| 0.0004        | 42.1687 | 3500 | 0.0785          | 22.4442 |
| 0.0001        | 43.3735 | 3600 | 0.0792          | 22.6589 |
| 0.0           | 44.5783 | 3700 | 0.0795          | 22.0361 |
| 0.0           | 45.7831 | 3800 | 0.0799          | 22.5515 |
| 0.0           | 46.9880 | 3900 | 0.0803          | 23.0026 |
| 0.0           | 48.1928 | 4000 | 0.0807          | 23.2388 |
| 0.0           | 49.3976 | 4100 | 0.0809          | 23.1100 |
| 0.0           | 50.6024 | 4200 | 0.0812          | 22.9381 |
| 0.0           | 51.8072 | 4300 | 0.0815          | 22.9381 |
| 0.0           | 53.0120 | 4400 | 0.0816          | 22.9381 |
| 0.0           | 54.2169 | 4500 | 0.0818          | 23.0241 |
| 0.0           | 55.4217 | 4600 | 0.0820          | 23.0241 |
| 0.0           | 56.6265 | 4700 | 0.0822          | 22.8308 |
| 0.0           | 57.8313 | 4800 | 0.0823          | 22.8952 |
| 0.0           | 59.0361 | 4900 | 0.0825          | 22.8737 |
| 0.0           | 60.2410 | 5000 | 0.0826          | 22.8952 |
| 0.0           | 61.4458 | 5100 | 0.0827          | 22.8522 |
| 0.0           | 62.6506 | 5200 | 0.0829          | 22.8522 |
| 0.0           | 63.8554 | 5300 | 0.0830          | 22.8522 |


### Framework versions

- Transformers 4.43.4
- Pytorch 2.4.1
- Datasets 3.0.0
- Tokenizers 0.19.1