Update stats.md
Browse files
stats.md
ADDED
|
@@ -0,0 +1,96 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
---
|
| 2 |
+
language:
|
| 3 |
+
- 'no'
|
| 4 |
+
license: apache-2.0
|
| 5 |
+
base_model: NbAiLab/nb-whisper-base-RC1
|
| 6 |
+
tags:
|
| 7 |
+
- audio
|
| 8 |
+
- asr
|
| 9 |
+
- automatic-speech-recognition
|
| 10 |
+
- hf-asr-leaderboard
|
| 11 |
+
model-index:
|
| 12 |
+
- name: nb-whisper-base-v0.8-vad3
|
| 13 |
+
results: []
|
| 14 |
+
---
|
| 15 |
+
|
| 16 |
+
<!-- This model card has been generated automatically according to the information Keras had access to. You should
|
| 17 |
+
probably proofread and complete it, then remove this comment. -->
|
| 18 |
+
|
| 19 |
+
# nb-whisper-base-v0.8-vad3
|
| 20 |
+
|
| 21 |
+
This model is a fine-tuned version of [NbAiLab/nb-whisper-base-RC1](https://huggingface.co/NbAiLab/nb-whisper-base-RC1) on the NbAiLab/ncc_speech_styling_v2_vad3 dataset.
|
| 22 |
+
It achieves the following results on the evaluation set:
|
| 23 |
+
- step: 49999
|
| 24 |
+
- validation_nst_loss: 0.4686
|
| 25 |
+
- train_loss: 0.5185
|
| 26 |
+
- validation_nst_wer: 4.7308
|
| 27 |
+
- validation_nst_cer: 1.4896
|
| 28 |
+
- validation_nst_exact_wer: 5.4603
|
| 29 |
+
- validation_nst_exact_cer: 1.6035
|
| 30 |
+
- validation_clean_stortinget_no_loss: 0.6454
|
| 31 |
+
- validation_clean_stortinget_no_wer: 12.3235
|
| 32 |
+
- validation_clean_stortinget_no_cer: 7.1963
|
| 33 |
+
- validation_clean_stortinget_no_exact_wer: 15.7965
|
| 34 |
+
- validation_clean_stortinget_no_exact_cer: 7.7657
|
| 35 |
+
|
| 36 |
+
## Model description
|
| 37 |
+
|
| 38 |
+
More information needed
|
| 39 |
+
|
| 40 |
+
## Intended uses & limitations
|
| 41 |
+
|
| 42 |
+
More information needed
|
| 43 |
+
|
| 44 |
+
## Training and evaluation data
|
| 45 |
+
|
| 46 |
+
More information needed
|
| 47 |
+
|
| 48 |
+
## Training procedure
|
| 49 |
+
|
| 50 |
+
### Training hyperparameters
|
| 51 |
+
|
| 52 |
+
The following hyperparameters were used during training:
|
| 53 |
+
- learning_rate: 0.0001
|
| 54 |
+
- lr_scheduler_type: linear
|
| 55 |
+
- per_device_train_batch_size: 32
|
| 56 |
+
- total_train_batch_size_per_node: 128
|
| 57 |
+
- total_train_batch_size: 1024
|
| 58 |
+
- total_optimization_steps: 50,000
|
| 59 |
+
- starting_optimization_step: None
|
| 60 |
+
- finishing_optimization_step: 50,000
|
| 61 |
+
- num_train_dataset_workers: 32
|
| 62 |
+
- num_hosts: 8
|
| 63 |
+
- total_num_training_examples: 51,200,000
|
| 64 |
+
- steps_per_epoch: 7455
|
| 65 |
+
- num_beams: None
|
| 66 |
+
- weight_decay: 0.01
|
| 67 |
+
- adam_beta1: 0.9
|
| 68 |
+
- adam_beta2: 0.98
|
| 69 |
+
- adam_epsilon: 1e-06
|
| 70 |
+
- dropout: True
|
| 71 |
+
- bpe_dropout_probability: 0.2
|
| 72 |
+
- activation_dropout_probability: 0.1
|
| 73 |
+
|
| 74 |
+
### Training results
|
| 75 |
+
|
| 76 |
+
| step | validation_nst_loss | train_loss | validation_nst_wer | validation_nst_cer | validation_nst_exact_wer | validation_nst_exact_cer | validation_clean_stortinget_no_loss | validation_clean_stortinget_no_wer | validation_clean_stortinget_no_cer | validation_clean_stortinget_no_exact_wer | validation_clean_stortinget_no_exact_cer |
|
| 77 |
+
|:-----:|:-------------------:|:----------:|:------------------:|:------------------:|:------------------------:|:------------------------:|:-----------------------------------:|:----------------------------------:|:----------------------------------:|:----------------------------------------:|:----------------------------------------:|
|
| 78 |
+
| 0 | 0.4594 | 1.1239 | 4.7580 | 1.4524 | 5.4984 | 1.5715 | 0.5892 | 11.7267 | 6.8997 | 15.1963 | 7.4616 |
|
| 79 |
+
| 5000 | 0.4884 | 0.6674 | 5.5038 | 1.7824 | 6.2987 | 1.9002 | 0.6483 | 13.0246 | 7.4564 | 16.7240 | 8.0698 |
|
| 80 |
+
| 10000 | 0.4834 | 0.6476 | 5.5474 | 1.8085 | 6.2823 | 1.9149 | 0.6467 | 12.9252 | 7.4203 | 16.4844 | 8.0062 |
|
| 81 |
+
| 15000 | 0.4843 | 0.6350 | 5.6672 | 1.7963 | 6.4456 | 1.9222 | 0.6517 | 12.7144 | 7.3438 | 16.2709 | 7.9357 |
|
| 82 |
+
| 20000 | 0.4760 | 0.5842 | 5.1010 | 1.6146 | 5.8033 | 1.7244 | 0.6517 | 12.6338 | 7.3208 | 16.2780 | 7.9279 |
|
| 83 |
+
| 25000 | 0.4806 | 0.5751 | 5.1718 | 1.6323 | 5.8849 | 1.7354 | 0.6512 | 12.6078 | 7.2514 | 16.1713 | 7.8452 |
|
| 84 |
+
| 30000 | 0.4740 | 0.5723 | 4.7090 | 1.4878 | 5.4058 | 1.6035 | 0.6482 | 12.4917 | 7.2427 | 16.0337 | 7.8222 |
|
| 85 |
+
| 35000 | 0.4737 | 0.5598 | 4.8887 | 1.5241 | 5.7216 | 1.6548 | 0.6510 | 12.2572 | 7.0924 | 15.7917 | 7.6744 |
|
| 86 |
+
| 40000 | 0.4731 | 0.5471 | 4.8941 | 1.5297 | 5.6073 | 1.6438 | 0.6526 | 12.4064 | 7.1642 | 15.8842 | 7.7360 |
|
| 87 |
+
| 45000 | 0.4693 | 0.5217 | 4.7580 | 1.4645 | 5.4930 | 1.5834 | 0.6471 | 12.1696 | 7.0908 | 15.7134 | 7.6776 |
|
| 88 |
+
| 49999 | 0.4686 | 0.5185 | 4.7308 | 1.4896 | 5.4603 | 1.6035 |
|
| 89 |
+
| 49999 | 0.6454 | 0.5185 | 12.3235 | 7.1963 | 15.7965 | 7.7657 |
|
| 90 |
+
|
| 91 |
+
|
| 92 |
+
### Framework versions
|
| 93 |
+
|
| 94 |
+
- Transformers 4.34.1
|
| 95 |
+
- Datasets 2.16.1
|
| 96 |
+
- Tokenizers 0.14.1
|