Update README.md

README.md

@@ -31,7 +31,7 @@ should probably proofread and complete it, then remove this comment. -->
 
 # Whisper Small Da - WasuratS
 
-This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the Common Voice 13 dataset.
+This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the Common Voice 13 dataset on Danish language
 It achieves the following results on the evaluation set:
 - Loss: 0.6393
 - Wer Ortho: 29.0926
@@ -62,34 +62,6 @@ The following hyperparameters were used during training:
 - training_steps: 4000
 - mixed_precision_training: Native AMP
 
-``` %python
-from transformers import Seq2SeqTrainingArguments
-
-training_args = Seq2SeqTrainingArguments(
-    output_dir="./whisper-small-da", 
-    per_device_train_batch_size=16,
-    gradient_accumulation_steps=1,  
-    learning_rate=1e-5,
-    lr_scheduler_type="linear",
-    warmup_steps=50,
-    max_steps=4000,  
-    gradient_checkpointing=True,
-    fp16=True,
-    fp16_full_eval=True,
-    evaluation_strategy="steps",
-    per_device_eval_batch_size=16,
-    predict_with_generate=True,
-    generation_max_length=225,
-    save_steps=500,
-    eval_steps=500,
-    logging_steps=25,
-    report_to=["tensorboard"],
-    load_best_model_at_end=True,
-    metric_for_best_model="wer",
-    greater_is_better=False,
-    push_to_hub=True,
-)
-```
 
 ### Training results