Update README.md

README.md

@@ -2,6 +2,7 @@
 license: apache-2.0
 tags:
 - generated_from_trainer
+- whisper-event
 metrics:
 - wer
 model-index:
@@ -21,4 +22,40 @@ model-index:
       name: WER
 ---
 
-#TODO
+# whisper-small-et
+
+This model is a fine-tuned version of [openai/whisper-medium](https://huggingface.co/openai/whisper-medium) on the following datasets: Common Voice 11, VoxPopuli and FLEURS.
+
+## Model description
+
+More information needed
+
+## Intended uses & limitations
+
+More information needed
+
+## Training and evaluation data
+
+Estonian data from Common Voice 11, VoxPopuli and FLEURS corpora as both training and validation sets. Tested on Common Voice 11 test set. 
+
+## Training procedure
+
+### Training hyperparameters
+
+The following hyperparameters were used during training:
+- learning_rate: 1e-05
+- train_batch_size: 32
+- eval_batch_size: 16
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- lr_scheduler_warmup_steps: 500
+- training_steps: 5000
+- mixed_precision_training: Native AMP
+
+### Framework versions
+
+- Transformers 4.26.0.dev0
+- Pytorch 1.12.1+rocm5.1.1
+- Datasets 2.7.1.dev0
+- Tokenizers 0.13.2