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-large-v3-RC4
|
| 6 |
+
tags:
|
| 7 |
+
- audio
|
| 8 |
+
- asr
|
| 9 |
+
- automatic-speech-recognition
|
| 10 |
+
- hf-asr-leaderboard
|
| 11 |
+
model-index:
|
| 12 |
+
- name: nb-whisper-large-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-large-v0.8-vad3
|
| 20 |
+
|
| 21 |
+
This model is a fine-tuned version of [NbAiLab/nb-whisper-large-v3-RC4](https://huggingface.co/NbAiLab/nb-whisper-large-v3-RC4) 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: 0.4292
|
| 25 |
+
- train_loss: 0.4893
|
| 26 |
+
- validation_nst_wer: 2.2211
|
| 27 |
+
- validation_nst_cer: 0.6628
|
| 28 |
+
- validation_nst_exact_wer: 2.8145
|
| 29 |
+
- validation_nst_exact_cer: 0.7555
|
| 30 |
+
- validation_clean_stortinget_no_loss: 0.7534
|
| 31 |
+
- validation_clean_stortinget_no_wer: 8.9128
|
| 32 |
+
- validation_clean_stortinget_no_cer: 5.6979
|
| 33 |
+
- validation_clean_stortinget_no_exact_wer: 11.8159
|
| 34 |
+
- validation_clean_stortinget_no_exact_cer: 6.1484
|
| 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: 7e-05
|
| 54 |
+
- lr_scheduler_type: linear
|
| 55 |
+
- per_device_train_batch_size: 8
|
| 56 |
+
- total_train_batch_size_per_node: 32
|
| 57 |
+
- total_train_batch_size: 1024
|
| 58 |
+
- total_optimization_steps: 15,000
|
| 59 |
+
- starting_optimization_step: 35,000
|
| 60 |
+
- finishing_optimization_step: 50,000
|
| 61 |
+
- num_train_dataset_workers: 32
|
| 62 |
+
- num_hosts: 32
|
| 63 |
+
- total_num_training_examples: 51,200,000
|
| 64 |
+
- steps_per_epoch: 24982
|
| 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 | 0.4259 | 0.9588 | 2.1721 | 0.6246 | 2.7111 | 0.7079 | 0.6807 | 8.5931 | 5.4608 | 11.4221 | 5.8946 |
|
| 79 |
+
| 5000 | 0.4376 | 0.5822 | 2.5859 | 0.7793 | 3.0867 | 0.8563 | 0.6738 | 9.1686 | 5.8478 | 12.0792 | 6.3020 |
|
| 80 |
+
| 10000 | 0.4368 | 0.5675 | 2.5913 | 0.7271 | 3.2337 | 0.8269 | 0.6875 | 9.2705 | 5.9200 | 12.1741 | 6.3750 |
|
| 81 |
+
| 15000 | 0.4335 | 0.5403 | 2.3409 | 0.6936 | 2.9180 | 0.7821 | 0.7187 | 9.0834 | 5.7344 | 11.9962 | 6.1944 |
|
| 82 |
+
| 20000 | 0.4324 | 0.5187 | 2.3518 | 0.6945 | 2.9561 | 0.7857 | 0.7357 | 8.9839 | 5.7154 | 11.8610 | 6.1664 |
|
| 83 |
+
| 25000 | 0.4307 | 0.5158 | 2.3028 | 0.6712 | 2.9343 | 0.7711 | 0.7228 | 9.1284 | 5.8704 | 11.9915 | 6.3161 |
|
| 84 |
+
| 30000 | 0.4312 | 0.5108 | 2.2810 | 0.6656 | 2.8690 | 0.7564 | 0.7428 | 8.9010 | 5.6726 | 11.8349 | 6.1305 |
|
| 85 |
+
| 35000 | 0.4299 | 0.4908 | 2.2320 | 0.6768 | 2.8417 | 0.7729 | 0.7513 | 8.8015 | 5.6123 | 11.6854 | 6.0642 |
|
| 86 |
+
| 40000 | 0.4313 | 0.4865 | 2.2973 | 0.6917 | 2.8907 | 0.7839 | 0.7545 | 8.9057 | 5.6912 | 11.8491 | 6.1465 |
|
| 87 |
+
| 45000 | 0.4303 | 0.4849 | 2.2429 | 0.6665 | 2.8254 | 0.7564 | 0.7484 | 8.9578 | 5.7320 | 11.8752 | 6.1851 |
|
| 88 |
+
| 49999 | 0.4292 | 0.4893 | 2.2211 | 0.6628 | 2.8145 | 0.7555 |
|
| 89 |
+
| 49999 | 0.7534 | 0.4893 | 8.9128 | 5.6979 | 11.8159 | 6.1484 |
|
| 90 |
+
|
| 91 |
+
|
| 92 |
+
### Framework versions
|
| 93 |
+
|
| 94 |
+
- Transformers 4.36.2
|
| 95 |
+
- Datasets 2.16.1
|
| 96 |
+
- Tokenizers 0.15.0
|