Create README.md

README.md

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+---
+license: apache-2.0
+tags:
+- generated_from_trainer
+- whisper-event
+metrics:
+- wer
+---
+
+# whisper-medium-et with ERR2020 data
+
+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, FLEURS and [ERR2020](http://bark.phon.ioc.ee/lw/korpused/ERR2020.html). 
+The model is stopped a little early because the Whisper fine-tuning event was ending :)
+
+## Model description
+
+More information needed
+
+## Intended uses & limitations
+
+More information needed
+
+## Training and evaluation data
+
+Estonian data from Common Voice 11, VoxPopuli, FLEURS and ERR2020 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: 6000
+- 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