transformers tensorboard safetensors whisper automatic-speech-recognition generated_from_trainer nl base_model:openai/whisper-large-v2 license:apache-2.0 endpoints_compatible region:us
---
language:
- nl
license: apache-2.0
base_model: openai/whisper-large-v2
tags:
- generated_from_trainer
metrics:
- wer
model-index:
- name: 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. -->

# Whisper Large V2

This model is a fine-tuned version of [openai/whisper-large-v2](https://huggingface.co/openai/whisper-large-v2) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.2995
- Wer: 10.8891

## 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: 3e-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: 20
- num_epochs: 5

### Training results

| Training Loss | Epoch | Step | Validation Loss | Wer     |
|:-------------:|:-----:|:----:|:---------------:|:-------:|
| 0.5753        | 0.13  | 30   | 0.3392          | 14.8670 |
| 0.2975        | 0.25  | 60   | 0.3042          | 19.4403 |
| 0.2893        | 0.38  | 90   | 0.3097          | 38.1677 |
| 0.2771        | 0.51  | 120  | 0.2772          | 13.8256 |
| 0.2656        | 0.63  | 150  | 0.2709          | 15.7969 |
| 0.2518        | 0.76  | 180  | 0.2602          | 14.6440 |
| 0.2419        | 0.89  | 210  | 0.2567          | 16.0404 |
| 0.2391        | 1.01  | 240  | 0.2599          | 13.9781 |
| 0.1319        | 1.14  | 270  | 0.2546          | 13.2594 |
| 0.128         | 1.27  | 300  | 0.2591          | 18.8448 |
| 0.1299        | 1.39  | 330  | 0.2599          | 11.7135 |
| 0.1261        | 1.52  | 360  | 0.2587          | 13.1303 |
| 0.1329        | 1.65  | 390  | 0.2541          | 12.4850 |
| 0.1303        | 1.77  | 420  | 0.2501          | 11.9980 |
| 0.115         | 1.9   | 450  | 0.2506          | 13.2799 |
| 0.1189        | 2.03  | 480  | 0.2486          | 11.0270 |
| 0.0577        | 2.15  | 510  | 0.2554          | 12.2532 |
| 0.0566        | 2.28  | 540  | 0.2587          | 11.3702 |
| 0.0573        | 2.41  | 570  | 0.2651          | 10.9390 |
| 0.0533        | 2.53  | 600  | 0.2590          | 11.1473 |
| 0.0519        | 2.66  | 630  | 0.2636          | 10.8363 |
| 0.056         | 2.78  | 660  | 0.2577          | 11.3732 |
| 0.062         | 2.91  | 690  | 0.2537          | 11.9833 |
| 0.0447        | 3.04  | 720  | 0.2675          | 11.7017 |
| 0.0232        | 3.16  | 750  | 0.2757          | 11.7927 |
| 0.0237        | 3.29  | 780  | 0.2751          | 12.5378 |
| 0.0216        | 3.42  | 810  | 0.2791          | 12.0244 |
| 0.0195        | 3.54  | 840  | 0.2787          | 10.9390 |
| 0.022         | 3.67  | 870  | 0.2749          | 12.4967 |
| 0.0213        | 3.8   | 900  | 0.2757          | 11.9012 |
| 0.0201        | 3.92  | 930  | 0.2735          | 11.5052 |
| 0.0146        | 4.05  | 960  | 0.2854          | 11.3673 |
| 0.0096        | 4.18  | 990  | 0.2956          | 11.7399 |
| 0.008         | 4.3   | 1020 | 0.2955          | 11.8073 |
| 0.008         | 4.43  | 1050 | 0.2963          | 11.8044 |
| 0.0087        | 4.56  | 1080 | 0.2971          | 11.6519 |
| 0.0076        | 4.68  | 1110 | 0.2971          | 11.7017 |
| 0.0073        | 4.81  | 1140 | 0.2982          | 10.8246 |
| 0.0068        | 4.94  | 1170 | 0.2995          | 10.8891 |


### Framework versions

- Transformers 4.38.0.dev0
- Pytorch 2.1.0+cu121
- Datasets 2.14.6
- Tokenizers 0.15.0
