Commit
·
3056c66
1
Parent(s):
3f4614c
update model card README.md
Browse files
README.md
ADDED
|
@@ -0,0 +1,76 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
---
|
| 2 |
+
language:
|
| 3 |
+
- tr
|
| 4 |
+
license: apache-2.0
|
| 5 |
+
tags:
|
| 6 |
+
- automatic-speech-recognition
|
| 7 |
+
- common_voice
|
| 8 |
+
- generated_from_trainer
|
| 9 |
+
datasets:
|
| 10 |
+
- common_voice
|
| 11 |
+
model-index:
|
| 12 |
+
- name: wav2vec2-xls-r-common_voice-tr-ft
|
| 13 |
+
results: []
|
| 14 |
+
---
|
| 15 |
+
|
| 16 |
+
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
|
| 17 |
+
should probably proofread and complete it, then remove this comment. -->
|
| 18 |
+
|
| 19 |
+
# wav2vec2-xls-r-common_voice-tr-ft
|
| 20 |
+
|
| 21 |
+
This model is a fine-tuned version of [facebook/wav2vec2-xls-r-300m](https://huggingface.co/facebook/wav2vec2-xls-r-300m) on the COMMON_VOICE - TR dataset.
|
| 22 |
+
It achieves the following results on the evaluation set:
|
| 23 |
+
- Loss: 0.3736
|
| 24 |
+
- Wer: 0.2930
|
| 25 |
+
- Cer: 0.0708
|
| 26 |
+
|
| 27 |
+
## Model description
|
| 28 |
+
|
| 29 |
+
More information needed
|
| 30 |
+
|
| 31 |
+
## Intended uses & limitations
|
| 32 |
+
|
| 33 |
+
More information needed
|
| 34 |
+
|
| 35 |
+
## Training and evaluation data
|
| 36 |
+
|
| 37 |
+
More information needed
|
| 38 |
+
|
| 39 |
+
## Training procedure
|
| 40 |
+
|
| 41 |
+
### Training hyperparameters
|
| 42 |
+
|
| 43 |
+
The following hyperparameters were used during training:
|
| 44 |
+
- learning_rate: 0.0005
|
| 45 |
+
- train_batch_size: 12
|
| 46 |
+
- eval_batch_size: 8
|
| 47 |
+
- seed: 42
|
| 48 |
+
- distributed_type: multi-GPU
|
| 49 |
+
- num_devices: 8
|
| 50 |
+
- total_train_batch_size: 96
|
| 51 |
+
- total_eval_batch_size: 64
|
| 52 |
+
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
|
| 53 |
+
- lr_scheduler_type: linear
|
| 54 |
+
- lr_scheduler_warmup_steps: 500
|
| 55 |
+
- num_epochs: 100.0
|
| 56 |
+
- mixed_precision_training: Native AMP
|
| 57 |
+
|
| 58 |
+
### Training results
|
| 59 |
+
|
| 60 |
+
| Training Loss | Epoch | Step | Validation Loss | Wer | Cer |
|
| 61 |
+
|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|
|
| 62 |
+
| 0.5462 | 13.51 | 500 | 0.4423 | 0.4807 | 0.1188 |
|
| 63 |
+
| 0.342 | 27.03 | 1000 | 0.3781 | 0.3954 | 0.0967 |
|
| 64 |
+
| 0.2272 | 40.54 | 1500 | 0.3816 | 0.3595 | 0.0893 |
|
| 65 |
+
| 0.1805 | 54.05 | 2000 | 0.3943 | 0.3487 | 0.0854 |
|
| 66 |
+
| 0.1318 | 67.57 | 2500 | 0.3818 | 0.3262 | 0.0801 |
|
| 67 |
+
| 0.1213 | 81.08 | 3000 | 0.3777 | 0.3113 | 0.0758 |
|
| 68 |
+
| 0.0639 | 94.59 | 3500 | 0.3788 | 0.2953 | 0.0716 |
|
| 69 |
+
|
| 70 |
+
|
| 71 |
+
### Framework versions
|
| 72 |
+
|
| 73 |
+
- Transformers 4.14.1
|
| 74 |
+
- Pytorch 1.8.0
|
| 75 |
+
- Datasets 1.17.0
|
| 76 |
+
- Tokenizers 0.10.3
|