Update README.md

README.md

@@ -23,12 +23,12 @@ model-index:
     metrics:
        - name: Test WER
          type: wer
-         value: 22.82
+         value: 29.52
 ---
 
 # Wav2Vec2-Large-XLSR-53-lg
 
-Fine-tuned [facebook/wav2vec2-large-xlsr-53](https://huggingface.co/facebook/wav2vec2-large-xlsr-53) on Luganda using the [Common Voice](https://huggingface.co/datasets/common_voice) dataset, using train, validation and other (if the example had more upvotes than downvotes), and taking the test data for validation as well as test.
+Fine-tuned [facebook/wav2vec2-large-xlsr-53](https://huggingface.co/facebook/wav2vec2-large-xlsr-53) on Luganda using the [Common Voice](https://huggingface.co/datasets/common_voice) dataset, using train, validation and other (excluding voices that are in the test set), and taking the test data for validation as well as test.
 When using this model, make sure that your speech input is sampled at 16kHz.
 
 ## Usage
@@ -126,10 +126,11 @@ result = test_dataset.map(evaluate, batched=True, batch_size=8)
 print("WER: {:2f}".format(100 * wer.compute(predictions=result["pred_strings"], references=result["norm_text"])))
 ```
 
-**Test Result**: 22.82 % 
+**Test Result**: 29.52 % 
 
 ## Training
 
-The Common Voice `train`, `validation` and `other` datasets were used for training, augmented to twice the original size with added noise and manipulated pitch, phase and intensity.
+The Common Voice `train`, `validation` and `other` datasets were used for training, excluding voices that are in both the `other` and `test` datasets. The data was augmented to twice the original size with added noise and manipulated pitch, phase and intensity.
+Training proceeded for 60 epochs, on 1 V100 GPU provided by OVHcloud. The `test` data was used for validation.
 
-The script used for training was just the `run_finetuning.py` script provided in OVHcloud's databuzzword/hf-wav2vec image.
+The [script used for training](https://github.com/serapio/transformers/blob/feature/xlsr-finetune/examples/research_projects/wav2vec2/run_common_voice.py) is adapted from the [example script provided in the transformers repo](https://github.com/huggingface/transformers/blob/master/examples/research_projects/wav2vec2/run_common_voice.py).