Commit
•
9751724
1
Parent(s):
74d201d
Update README.md
Browse files
README.md
CHANGED
|
@@ -1,3 +1,76 @@
|
|
| 1 |
-
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 2 |
|
| 3 |
-
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 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: wav2vec2-xlarge-...-common_voice-tr-demo
|
| 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 |
+
# wav2vec2-xlarge-...-common_voice-tr-demo
|
| 19 |
+
|
| 20 |
+
This model is a fine-tuned version of [facebook/wav2vec2-xlarge-xlsr-...](https://huggingface.co/facebook/wav2vec2-xlarge-xlsr-...) on the COMMON_VOICE - TR dataset.
|
| 21 |
+
It achieves the following results on the evaluation set:
|
| 22 |
+
- Loss: 0.2701
|
| 23 |
+
- Wer: 0.2309
|
| 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: 0.00005
|
| 43 |
+
- train_batch_size: 2
|
| 44 |
+
- eval_batch_size: 8
|
| 45 |
+
- seed: 42
|
| 46 |
+
- distributed_type: multi-GPU
|
| 47 |
+
- num_devices: 2
|
| 48 |
+
- gradient_accumulation_steps: 8
|
| 49 |
+
- total_train_batch_size: 32
|
| 50 |
+
- total_eval_batch_size: 16
|
| 51 |
+
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
|
| 52 |
+
- lr_scheduler_type: linear
|
| 53 |
+
- lr_scheduler_warmup_steps: 500
|
| 54 |
+
- num_epochs: 30.0
|
| 55 |
+
- mixed_precision_training: Native AMP
|
| 56 |
+
|
| 57 |
+
### Training results
|
| 58 |
+
|
| 59 |
+
| Training Loss | Epoch | Step | Validation Loss | Wer |
|
| 60 |
+
|:-------------:|:-----:|:----:|:---------------:|:------:|
|
| 61 |
+
| 0.4388 | 3.7 | 400 | 1.366 | 0.9701 |
|
| 62 |
+
| 0.3766 | 7.4 | 800 | 0.4914 | 0.5374 |
|
| 63 |
+
| 0.2295 | 11.11 | 1200 | 0.3934 | 0.4125 |
|
| 64 |
+
| 0.1121 | 14.81 | 1600 | 0.3264 | 0.2904 |
|
| 65 |
+
| 0.1473 | 18.51 | 2000 | 0.3103 | 0.2671 |
|
| 66 |
+
| 0.1013 | 22.22 | 2400 | 0.2589 | 0.2324 |
|
| 67 |
+
| 0.0704 | 25.92 | 2800 | 0.2826 | 0.2339 |
|
| 68 |
+
| 0.0537 | 29.63 | 3200 | 0.2704 | 0.2309 |
|
| 69 |
+
|
| 70 |
+
|
| 71 |
+
### Framework versions
|
| 72 |
+
|
| 73 |
+
- Transformers 4.12.0.dev0
|
| 74 |
+
- Pytorch 1.8.1
|
| 75 |
+
- Datasets 1.14.1.dev0
|
| 76 |
+
- Tokenizers 0.10.3
|