add model card

README.md

@@ -0,0 +1,79 @@
+---
+language:
+- it
+license: apache-2.0
+tags:
+- hf-asr-leaderboard
+- generated_from_trainer
+datasets:
+- mozilla-foundation/common_voice_11_0
+metrics:
+- wer
+model-index:
+- name: Whisper Small Italian
+  results:
+  - task:
+      name: Automatic Speech Recognition
+      type: automatic-speech-recognition
+    dataset:
+      name: Common Voice 11.0
+      type: mozilla-foundation/common_voice_11_0
+      args: 'config: it, split: test'
+    metrics:
+    - name: Wer
+      type: wer
+      value: 17.391605006569392
+---
+
+# Whisper Small Italian
+
+This model is a fine-tuned version of [openai/whisper-base](https://huggingface.co/openai/whisper-base) on the Common Voice 11.0 dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.1185
+- Wer: 17.3916
+
+## 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: 16
+- eval_batch_size: 8
+<!-- - seed: 42 -->
+- gradient_accumulation_steps: 1
+- 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: 954
+<!-- - mixed_precision_training: Native AMP -->
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Wer     |
+|:-------------:|:-----:|:----:|:---------------:|:-------:|
+| 0.2453        | 0.78  | 600  | 0.2898          | 19.0097 |
+| 0.2338        | 1.56  | 700 | 0.2768          | 18.7054 |
+| 0.2402        | 2.34  | 800 | 0.2646          | 18.2214 |
+| 0.2340        | 3.12  | 900 | 0.2581          | 17.3916 |
+
+
+### Framework versions
+
+- Transformers 4.25.0.dev0
+- Pytorch 1.12.1+cu113
+- Datasets 2.7.1
+- Tokenizers 0.13.2