Commit
•
486fa5c
1
Parent(s):
25f096a
update model card README.md
Browse files
README.md
ADDED
|
@@ -0,0 +1,90 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
---
|
| 2 |
+
tags:
|
| 3 |
+
- automatic-speech-recognition
|
| 4 |
+
- timit_asr
|
| 5 |
+
- generated_from_trainer
|
| 6 |
+
datasets:
|
| 7 |
+
- timit_asr
|
| 8 |
+
model-index:
|
| 9 |
+
- name: distilhubert-timit
|
| 10 |
+
results: []
|
| 11 |
+
---
|
| 12 |
+
|
| 13 |
+
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
|
| 14 |
+
should probably proofread and complete it, then remove this comment. -->
|
| 15 |
+
|
| 16 |
+
# distilhubert-timit
|
| 17 |
+
|
| 18 |
+
This model is a fine-tuned version of [anton-l/distilhubert](https://huggingface.co/anton-l/distilhubert) on the TIMIT_ASR - NA dataset.
|
| 19 |
+
It achieves the following results on the evaluation set:
|
| 20 |
+
- Loss: 1.3688
|
| 21 |
+
- Wer: 0.6818
|
| 22 |
+
|
| 23 |
+
## Model description
|
| 24 |
+
|
| 25 |
+
More information needed
|
| 26 |
+
|
| 27 |
+
## Intended uses & limitations
|
| 28 |
+
|
| 29 |
+
More information needed
|
| 30 |
+
|
| 31 |
+
## Training and evaluation data
|
| 32 |
+
|
| 33 |
+
More information needed
|
| 34 |
+
|
| 35 |
+
## Training procedure
|
| 36 |
+
|
| 37 |
+
### Training hyperparameters
|
| 38 |
+
|
| 39 |
+
The following hyperparameters were used during training:
|
| 40 |
+
- learning_rate: 0.0001
|
| 41 |
+
- train_batch_size: 32
|
| 42 |
+
- eval_batch_size: 1
|
| 43 |
+
- seed: 42
|
| 44 |
+
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
|
| 45 |
+
- lr_scheduler_type: linear
|
| 46 |
+
- lr_scheduler_warmup_steps: 1000
|
| 47 |
+
- num_epochs: 20.0
|
| 48 |
+
- mixed_precision_training: Native AMP
|
| 49 |
+
|
| 50 |
+
### Training results
|
| 51 |
+
|
| 52 |
+
| Training Loss | Epoch | Step | Validation Loss | Wer |
|
| 53 |
+
|:-------------:|:-----:|:----:|:---------------:|:------:|
|
| 54 |
+
| 4.2247 | 0.69 | 100 | 3.8607 | 1.0 |
|
| 55 |
+
| 2.9444 | 1.38 | 200 | 2.9509 | 1.0 |
|
| 56 |
+
| 2.8858 | 2.07 | 300 | 2.8446 | 1.0 |
|
| 57 |
+
| 2.2804 | 2.76 | 400 | 2.1985 | 1.0014 |
|
| 58 |
+
| 1.505 | 3.45 | 500 | 1.4972 | 0.9609 |
|
| 59 |
+
| 1.06 | 4.14 | 600 | 1.2014 | 0.8058 |
|
| 60 |
+
| 1.0166 | 4.83 | 700 | 1.0605 | 0.7536 |
|
| 61 |
+
| 0.966 | 5.52 | 800 | 0.9963 | 0.7101 |
|
| 62 |
+
| 0.6857 | 6.21 | 900 | 0.9443 | 0.6898 |
|
| 63 |
+
| 0.5859 | 6.9 | 1000 | 0.9043 | 0.6796 |
|
| 64 |
+
| 0.6812 | 7.59 | 1100 | 0.9095 | 0.6716 |
|
| 65 |
+
| 0.6088 | 8.28 | 1200 | 0.9422 | 0.6677 |
|
| 66 |
+
| 0.4162 | 8.97 | 1300 | 0.9548 | 0.6657 |
|
| 67 |
+
| 0.3411 | 9.66 | 1400 | 0.9901 | 0.6689 |
|
| 68 |
+
| 0.3323 | 10.34 | 1500 | 0.9996 | 0.6638 |
|
| 69 |
+
| 0.431 | 11.03 | 1600 | 1.0521 | 0.6708 |
|
| 70 |
+
| 0.2029 | 11.72 | 1700 | 1.0946 | 0.6793 |
|
| 71 |
+
| 0.1424 | 12.41 | 1800 | 1.1288 | 0.6712 |
|
| 72 |
+
| 0.1922 | 13.1 | 1900 | 1.1456 | 0.6740 |
|
| 73 |
+
| 0.326 | 13.79 | 2000 | 1.2077 | 0.6915 |
|
| 74 |
+
| 0.0892 | 14.48 | 2100 | 1.2525 | 0.6796 |
|
| 75 |
+
| 0.0769 | 15.17 | 2200 | 1.2313 | 0.6736 |
|
| 76 |
+
| 0.0927 | 15.86 | 2300 | 1.3001 | 0.6864 |
|
| 77 |
+
| 0.232 | 16.55 | 2400 | 1.3490 | 0.6963 |
|
| 78 |
+
| 0.0485 | 17.24 | 2500 | 1.3268 | 0.6763 |
|
| 79 |
+
| 0.0487 | 17.93 | 2600 | 1.3376 | 0.6780 |
|
| 80 |
+
| 0.0607 | 18.62 | 2700 | 1.3701 | 0.6895 |
|
| 81 |
+
| 0.1618 | 19.31 | 2800 | 1.3657 | 0.6796 |
|
| 82 |
+
| 0.0415 | 20.0 | 2900 | 1.3688 | 0.6818 |
|
| 83 |
+
|
| 84 |
+
|
| 85 |
+
### Framework versions
|
| 86 |
+
|
| 87 |
+
- Transformers 4.12.0.dev0
|
| 88 |
+
- Pytorch 1.8.1
|
| 89 |
+
- Datasets 1.14.1.dev0
|
| 90 |
+
- Tokenizers 0.10.3
|