update model card README.md

README.md

@@ -0,0 +1,64 @@
+---
+language:
+- hi
+license: apache-2.0
+tags:
+- hf-asr-leaderboard
+- generated_from_trainer
+datasets:
+- mozilla-foundation/common_voice_11_0
+model-index:
+- name: Whisper Medium Catalan
+  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 Medium Catalan
+
+This model is a fine-tuned version of [openai/whisper-Medium](https://huggingface.co/openai/whisper-Medium) on the 10 hrs of Catalan Common Voice 11.0 dataset.
+It achieves the following results on the evaluation set:
+- eval_loss: 4.9217
+- eval_wer: 132.1947
+- eval_runtime: 3848.0596
+- eval_samples_per_second: 0.78
+- eval_steps_per_second: 0.78
+- epoch: 1.14
+- step: 2000
+
+## 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: 0.001
+- train_batch_size: 1
+- eval_batch_size: 1
+- seed: 42
+- gradient_accumulation_steps: 4
+- total_train_batch_size: 4
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- lr_scheduler_warmup_steps: 500
+- training_steps: 4000
+- mixed_precision_training: Native AMP
+
+### Framework versions
+
+- Transformers 4.27.0.dev0
+- Pytorch 1.13.1+cu116
+- Datasets 2.9.0
+- Tokenizers 0.13.2