Create README.md

README.md

@@ -1,63 +1,15 @@
 ---
-library_name: transformers
 license: mit
-base_model: openai/whisper-large-v3-turbo
-tags:
-- generated_from_trainer
 datasets:
-- common_voice_11_0
-model-index:
-- name: whisper-persian-turbooo
-  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-persian-turbooo
-
-This model is a fine-tuned version of [openai/whisper-large-v3-turbo](https://huggingface.co/openai/whisper-large-v3-turbo) on the common_voice_11_0 dataset.
-It achieves the following results on the evaluation set:
-- Loss: 0.0432
-
-## 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: 0.0001
-- train_batch_size: 1
-- eval_batch_size: 1
-- seed: 42
-- gradient_accumulation_steps: 2
-- total_train_batch_size: 2
-- optimizer: Use OptimizerNames.ADAMW_BNB with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
-- lr_scheduler_type: linear
-- lr_scheduler_warmup_steps: 200
-- num_epochs: 1
-
-### Training results
-
-| Training Loss | Epoch  | Step  | Validation Loss |
-|:-------------:|:------:|:-----:|:---------------:|
-| 0.0131        | 1.0000 | 13475 | 0.0432          |
-
-
-### Framework versions
-
-- Transformers 4.50.0
-- Pytorch 2.6.0+cu124
-- Datasets 3.4.1
-- Tokenizers 0.21.1
+- mozilla-foundation/common_voice_11_0
+language:
+- fa
+metrics:
+- wer
+base_model:
+- openai/whisper-large-v3-turbo
+pipeline_tag: automatic-speech-recognition
+library_name: transformers
+tags:
+- medical
+---