Commit
•
76ec8fe
1
Parent(s):
e7d348e
update model card README.md
Browse files
README.md
ADDED
|
@@ -0,0 +1,88 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
---
|
| 2 |
+
language:
|
| 3 |
+
- tr
|
| 4 |
+
tags:
|
| 5 |
+
- automatic-speech-recognition
|
| 6 |
+
- common_voice
|
| 7 |
+
- generated_from_trainer
|
| 8 |
+
datasets:
|
| 9 |
+
- common_voice
|
| 10 |
+
model-index:
|
| 11 |
+
- name: phoneme_test_3_tr
|
| 12 |
+
results: []
|
| 13 |
+
---
|
| 14 |
+
|
| 15 |
+
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
|
| 16 |
+
should probably proofread and complete it, then remove this comment. -->
|
| 17 |
+
|
| 18 |
+
# phoneme_test_3_tr
|
| 19 |
+
|
| 20 |
+
This model is a fine-tuned version of [./wav2vec2-xls-r-phoneme-300m-tr](https://huggingface.co/./wav2vec2-xls-r-phoneme-300m-tr) on the COMMON_VOICE - TR dataset.
|
| 21 |
+
It achieves the following results on the evaluation set:
|
| 22 |
+
- Loss: 0.6380
|
| 23 |
+
- Wer: 0.1664
|
| 24 |
+
|
| 25 |
+
## Model description
|
| 26 |
+
|
| 27 |
+
More information needed
|
| 28 |
+
|
| 29 |
+
## Intended uses & limitations
|
| 30 |
+
|
| 31 |
+
More information needed
|
| 32 |
+
|
| 33 |
+
## Training and evaluation data
|
| 34 |
+
|
| 35 |
+
More information needed
|
| 36 |
+
|
| 37 |
+
## Training procedure
|
| 38 |
+
|
| 39 |
+
### Training hyperparameters
|
| 40 |
+
|
| 41 |
+
The following hyperparameters were used during training:
|
| 42 |
+
- learning_rate: 0.0005
|
| 43 |
+
- train_batch_size: 16
|
| 44 |
+
- eval_batch_size: 8
|
| 45 |
+
- seed: 42
|
| 46 |
+
- distributed_type: multi-GPU
|
| 47 |
+
- num_devices: 2
|
| 48 |
+
- total_train_batch_size: 32
|
| 49 |
+
- total_eval_batch_size: 16
|
| 50 |
+
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
|
| 51 |
+
- lr_scheduler_type: linear
|
| 52 |
+
- lr_scheduler_warmup_steps: 500
|
| 53 |
+
- num_epochs: 20.0
|
| 54 |
+
- mixed_precision_training: Native AMP
|
| 55 |
+
|
| 56 |
+
### Training results
|
| 57 |
+
|
| 58 |
+
| Training Loss | Epoch | Step | Validation Loss | Wer |
|
| 59 |
+
|:-------------:|:-----:|:----:|:---------------:|:------:|
|
| 60 |
+
| 13.6687 | 0.92 | 100 | 12.4567 | 1.0 |
|
| 61 |
+
| 3.4219 | 1.83 | 200 | 3.4704 | 1.0 |
|
| 62 |
+
| 3.1846 | 2.75 | 300 | 3.2281 | 0.9935 |
|
| 63 |
+
| 2.0076 | 3.67 | 400 | 1.7415 | 0.5222 |
|
| 64 |
+
| 1.0244 | 4.59 | 500 | 1.0290 | 0.3323 |
|
| 65 |
+
| 0.7095 | 5.5 | 600 | 0.8424 | 0.2859 |
|
| 66 |
+
| 0.619 | 6.42 | 700 | 0.7389 | 0.2232 |
|
| 67 |
+
| 0.3541 | 7.34 | 800 | 0.7049 | 0.2043 |
|
| 68 |
+
| 0.2946 | 8.26 | 900 | 0.7065 | 0.2153 |
|
| 69 |
+
| 0.2868 | 9.17 | 1000 | 0.6840 | 0.2115 |
|
| 70 |
+
| 0.2245 | 10.09 | 1100 | 0.6714 | 0.1952 |
|
| 71 |
+
| 0.1394 | 11.01 | 1200 | 0.6864 | 0.1954 |
|
| 72 |
+
| 0.1288 | 11.93 | 1300 | 0.6696 | 0.2017 |
|
| 73 |
+
| 0.1568 | 12.84 | 1400 | 0.6468 | 0.1843 |
|
| 74 |
+
| 0.1269 | 13.76 | 1500 | 0.6736 | 0.1965 |
|
| 75 |
+
| 0.1101 | 14.68 | 1600 | 0.6689 | 0.1915 |
|
| 76 |
+
| 0.1388 | 15.6 | 1700 | 0.6690 | 0.1782 |
|
| 77 |
+
| 0.0739 | 16.51 | 1800 | 0.6364 | 0.1734 |
|
| 78 |
+
| 0.0897 | 17.43 | 1900 | 0.6480 | 0.1748 |
|
| 79 |
+
| 0.0795 | 18.35 | 2000 | 0.6356 | 0.1695 |
|
| 80 |
+
| 0.0823 | 19.27 | 2100 | 0.6382 | 0.1685 |
|
| 81 |
+
|
| 82 |
+
|
| 83 |
+
### Framework versions
|
| 84 |
+
|
| 85 |
+
- Transformers 4.13.0.dev0
|
| 86 |
+
- Pytorch 1.8.1
|
| 87 |
+
- Datasets 1.16.2.dev0
|
| 88 |
+
- Tokenizers 0.10.3
|