File size: 4,523 Bytes
679f6b8 0af0f86 679f6b8 0af0f86 |
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 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 |
---
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 an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.2647
- Wer: 9.9296
## 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: 12
- 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 |
|:-------------:|:-----:|:----:|:---------------:|:-------:|
| 0.6181 | 0.09 | 30 | 0.3443 | 17.6297 |
| 0.3296 | 0.19 | 60 | 0.2921 | 13.0722 |
| 0.3165 | 0.28 | 90 | 0.2711 | 11.8459 |
| 0.2775 | 0.38 | 120 | 0.2677 | 11.4110 |
| 0.2696 | 0.47 | 150 | 0.2570 | 12.1474 |
| 0.2558 | 0.57 | 180 | 0.2544 | 13.9623 |
| 0.272 | 0.66 | 210 | 0.2448 | 19.9809 |
| 0.2696 | 0.76 | 240 | 0.2415 | 12.5359 |
| 0.2668 | 0.85 | 270 | 0.2392 | 11.7154 |
| 0.2558 | 0.95 | 300 | 0.2318 | 12.3097 |
| 0.2108 | 1.04 | 330 | 0.2418 | 15.0639 |
| 0.1339 | 1.14 | 360 | 0.2409 | 13.8318 |
| 0.1326 | 1.23 | 390 | 0.2394 | 16.9165 |
| 0.1357 | 1.33 | 420 | 0.2362 | 11.4371 |
| 0.1278 | 1.42 | 450 | 0.2377 | 12.3503 |
| 0.1485 | 1.52 | 480 | 0.2291 | 12.3097 |
| 0.1263 | 1.61 | 510 | 0.2381 | 12.2547 |
| 0.1269 | 1.71 | 540 | 0.2328 | 10.3528 |
| 0.1437 | 1.8 | 570 | 0.2284 | 11.7415 |
| 0.1314 | 1.9 | 600 | 0.2270 | 11.4661 |
| 0.1282 | 1.99 | 630 | 0.2334 | 11.8807 |
| 0.0646 | 2.09 | 660 | 0.2414 | 11.3617 |
| 0.0655 | 2.18 | 690 | 0.2439 | 11.9503 |
| 0.0658 | 2.28 | 720 | 0.2406 | 11.4197 |
| 0.0573 | 2.37 | 750 | 0.2375 | 11.0747 |
| 0.0584 | 2.47 | 780 | 0.2364 | 10.7848 |
| 0.0639 | 2.56 | 810 | 0.2351 | 11.2197 |
| 0.0537 | 2.66 | 840 | 0.2380 | 10.0803 |
| 0.0538 | 2.75 | 870 | 0.2359 | 10.1180 |
| 0.0551 | 2.85 | 900 | 0.2347 | 10.1847 |
| 0.0613 | 2.94 | 930 | 0.2354 | 10.7616 |
| 0.0453 | 3.04 | 960 | 0.2399 | 13.9130 |
| 0.0248 | 3.13 | 990 | 0.2456 | 11.4139 |
| 0.0246 | 3.23 | 1020 | 0.2553 | 11.3936 |
| 0.0229 | 3.32 | 1050 | 0.2477 | 11.3878 |
| 0.0198 | 3.42 | 1080 | 0.2486 | 10.2137 |
| 0.0229 | 3.51 | 1110 | 0.2491 | 10.2514 |
| 0.021 | 3.61 | 1140 | 0.2478 | 10.4311 |
| 0.0212 | 3.7 | 1170 | 0.2482 | 10.4398 |
| 0.0218 | 3.8 | 1200 | 0.2474 | 10.8892 |
| 0.0225 | 3.89 | 1230 | 0.2442 | 10.3731 |
| 0.0209 | 3.99 | 1260 | 0.2439 | 10.5326 |
| 0.0105 | 4.08 | 1290 | 0.2544 | 10.2948 |
| 0.0089 | 4.18 | 1320 | 0.2614 | 10.3238 |
| 0.008 | 4.27 | 1350 | 0.2627 | 10.0223 |
| 0.0079 | 4.37 | 1380 | 0.2652 | 10.2456 |
| 0.0083 | 4.46 | 1410 | 0.2646 | 10.1267 |
| 0.0073 | 4.56 | 1440 | 0.2619 | 10.0136 |
| 0.0075 | 4.65 | 1470 | 0.2633 | 9.7266 |
| 0.0068 | 4.75 | 1500 | 0.2648 | 9.8281 |
| 0.0074 | 4.84 | 1530 | 0.2645 | 9.8194 |
| 0.0079 | 4.94 | 1560 | 0.2647 | 9.9296 |
### Framework versions
- Transformers 4.38.0.dev0
- Pytorch 2.1.0+cu121
- Datasets 2.17.0
- Tokenizers 0.15.0
|