update model card README.md

README.md

@@ -0,0 +1,71 @@
+---
+language:
+- sv
+license: apache-2.0
+tags:
+- hf-asr-leaderboard
+- generated_from_trainer
+metrics:
+- wer
+model-index:
+- name: Whisper Small - Swedish
+  results: []
+---
+
+<!-- This model card has been generated automatically according to the information the Trainer had access to. You
+should probably proofread and complete it, then remove this comment. -->
+
+# Whisper Small - Swedish
+
+This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the Common Voice 11.0 dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.3900
+- Wer: 19.0369
+
+## Model description
+
+More information needed
+
+## Intended uses & limitations
+
+More information needed
+
+## Training and evaluation data
+
+More information needed
+
+## Training procedure
+
+### Training hyperparameters
+
+The following hyperparameters were used during training:
+- learning_rate: 1e-05
+- train_batch_size: 4
+- eval_batch_size: 8
+- seed: 42
+- gradient_accumulation_steps: 4
+- total_train_batch_size: 16
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- lr_scheduler_warmup_steps: 500
+- training_steps: 12000
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch | Step  | Validation Loss | Wer     |
+|:-------------:|:-----:|:-----:|:---------------:|:-------:|
+| 0.0887        | 1.71  | 2000  | 0.2817          | 21.0831 |
+| 0.0168        | 3.41  | 4000  | 0.3108          | 19.6338 |
+| 0.0027        | 5.12  | 6000  | 0.3421          | 19.8731 |
+| 0.0012        | 6.83  | 8000  | 0.3713          | 19.1229 |
+| 0.0005        | 8.53  | 10000 | 0.3844          | 19.2036 |
+| 0.0004        | 10.24 | 12000 | 0.3900          | 19.0369 |
+
+
+### Framework versions
+
+- Transformers 4.25.0.dev0
+- Pytorch 1.12.1
+- Datasets 2.7.1
+- Tokenizers 0.13.2