update readme.md

README.md

@@ -45,8 +45,36 @@ model = Wav2Vec2ForCTC.from_pretrained("emre/wav2vec-tr-lite-AG")
 
 resampler = torchaudio.transforms.Resample(48_000, 16_000)
 
-**Test Result**: 27.30 %
-
-
- [here](https://adresgezgini.com)
+### Training hyperparameters
+The following hyperparameters were used during training:
+- learning_rate: 0.00005
+- train_batch_size: 2
+- eval_batch_size: 8
+- seed: 42
+- distributed_type: multi-GPU
+- num_devices: 2
+- gradient_accumulation_steps: 8
+- total_train_batch_size: 32
+- total_eval_batch_size: 16
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- lr_scheduler_warmup_steps: 500
+- num_epochs: 30.0
+- mixed_precision_training: Native AMP
+### Training results
+| Training Loss | Epoch | Step | Validation Loss | Wer    |
+|:-------------:|:-----:|:----:|:---------------:|:------:|
+| 0.4388        | 3.7   | 400  | 1.366          | 0.9701 |
+| 0.3766        | 7.4   | 800  | 0.4914          | 0.5374 |
+| 0.2295        | 11.11 | 1200 | 0.3934          | 0.4125 |
+| 0.1121        | 14.81 | 1600 | 0.3264          | 0.2904 |
+| 0.1473        | 18.51 | 2000 | 0.3103          | 0.2671 |
+| 0.1013        | 22.22 | 2400 | 0.2589          | 0.2324 |
+| 0.0704        | 25.92 | 2800 | 0.2826          | 0.2339 |
+| 0.0537        | 29.63 | 3200 | 0.2704          | 0.2309 |
+### Framework versions
+- Transformers 4.12.0.dev0
+- Pytorch 1.8.1
+- Datasets 1.14.1.dev0
+- Tokenizers 0.10.3