File size: 2,915 Bytes
4b0a79a 208fbea 4b0a79a 208fbea |
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 |
---
license: apache-2.0
base_model: facebook/hubert-large-ll60k
tags:
- generated_from_trainer
metrics:
- wer
model-index:
- name: speech_ocean_hubert_mdd
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. -->
# speech_ocean_hubert_mdd
This model is a fine-tuned version of [facebook/hubert-large-ll60k](https://huggingface.co/facebook/hubert-large-ll60k) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 2.3987
- Wer: 0.5798
- Cer: 0.6474
## 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: 0.0003
- train_batch_size: 16
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 32
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- num_epochs: 20
- mixed_precision_training: Native AMP
### Training results
| Training Loss | Epoch | Step | Validation Loss | Wer | Cer |
|:-------------:|:-------:|:----:|:---------------:|:------:|:------:|
| 94.265 | 0.9873 | 39 | 85.1429 | 0.9995 | 0.9840 |
| 52.6364 | 2.0 | 79 | 32.7798 | 1.0 | 1.0 |
| 27.2435 | 2.9873 | 118 | 14.8924 | 1.0 | 1.0 |
| 10.122 | 4.0 | 158 | 7.1662 | 1.0 | 1.0 |
| 5.6778 | 4.9873 | 197 | 5.3731 | 1.0 | 1.0 |
| 5.3058 | 6.0 | 237 | 5.2800 | 1.0 | 1.0 |
| 5.3233 | 6.9873 | 276 | 5.2647 | 1.0 | 1.0 |
| 5.2846 | 8.0 | 316 | 5.2266 | 1.0 | 1.0 |
| 5.2555 | 8.9873 | 355 | 5.1857 | 1.0 | 1.0 |
| 5.172 | 10.0 | 395 | 5.1649 | 1.0 | 1.0 |
| 5.1551 | 10.9873 | 434 | 5.0741 | 1.0 | 1.0 |
| 5.1312 | 12.0 | 474 | 5.0101 | 1.0 | 1.0 |
| 4.9727 | 12.9873 | 513 | 4.7469 | 1.0 | 1.0 |
| 4.6317 | 14.0 | 553 | 4.3717 | 0.9541 | 0.9580 |
| 4.1657 | 14.9873 | 592 | 3.8313 | 0.8953 | 0.9418 |
| 3.7754 | 16.0 | 632 | 3.3712 | 0.8003 | 0.8418 |
| 3.3744 | 16.9873 | 671 | 2.9940 | 0.7360 | 0.8192 |
| 3.0452 | 18.0 | 711 | 2.6717 | 0.6829 | 0.7675 |
| 2.7951 | 18.9873 | 750 | 2.4711 | 0.6175 | 0.6972 |
| 2.7407 | 19.7468 | 780 | 2.3987 | 0.5798 | 0.6474 |
### Framework versions
- Transformers 4.40.0
- Pytorch 2.2.1+cu121
- Datasets 2.19.0
- Tokenizers 0.19.1
|