File size: 2,049 Bytes
c61119f 4a2b459 97b8a42 87a0af6 97b8a42 87a0af6 97b8a42 87a0af6 97b8a42 4a2b459 97b8a42 87a0af6 97b8a42 4a2b459 97b8a42 4a2b459 c61119f 97b8a42 87a0af6 97b8a42 87a0af6 97b8a42 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 |
---
language:
- 'no'
- nb
- multilingual
license: apache-2.0
tags:
- whisper-event
- generated_from_trainer
datasets:
- NbAiLab/NCC_S
metrics:
- wer
model-index:
- name: Whisper Large Norwegian
results:
- task:
type: automatic-speech-recognition
name: Automatic Speech Recognition
dataset:
name: NbAiLab/NCC_S
type: NbAiLab/NCC_S
config: 'no'
split: validation
args: 'no'
metrics:
- type: wer
value: 12.058465286236297
name: Wer
---
<!-- 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 Norwegian
This model is a fine-tuned version of [openai/whisper-large-v2](https://huggingface.co/openai/whisper-large-v2) on the NbAiLab/NCC_S dataset.
It achieves the following results on the evaluation set:
- Loss: 0.2784
- Wer: 12.0585
## 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: 5e-06
- train_batch_size: 12
- eval_batch_size: 6
- 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: 5000
- mixed_precision_training: Native AMP
### Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|:-------------:|:-----:|:----:|:---------------:|:-------:|
| 0.6755 | 0.2 | 1000 | 0.3108 | 14.3118 |
| 0.673 | 0.4 | 2000 | 0.3004 | 13.4592 |
| 0.6378 | 0.6 | 3000 | 0.2865 | 13.0024 |
| 0.5776 | 0.8 | 4000 | 0.2809 | 12.6675 |
| 0.5962 | 1.0 | 5000 | 0.2784 | 12.0585 |
### Framework versions
- Transformers 4.26.0.dev0
- Pytorch 1.13.0+cu117
- Datasets 2.7.1.dev0
- Tokenizers 0.11.0
|