Model save

README.md

@@ -4,6 +4,8 @@ license: apache-2.0
 base_model: openai/whisper-medium
 tags:
 - generated_from_trainer
+metrics:
+- wer
 model-index:
 - name: Egy_ASR_Whisper
   results: []
@@ -16,13 +18,8 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [openai/whisper-medium](https://huggingface.co/openai/whisper-medium) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- eval_loss: 5.1519
-- eval_wer: 1.0
-- eval_runtime: 225.4852
-- eval_samples_per_second: 0.514
-- eval_steps_per_second: 0.067
-- epoch: 0
-- step: 0
+- Loss: 3.3081
+- Wer: 1.2070
 
 ## Model description
 
@@ -53,6 +50,13 @@ The following hyperparameters were used during training:
 - num_epochs: 1
 - mixed_precision_training: Native AMP
 
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Wer    |
+|:-------------:|:-----:|:----:|:---------------:|:------:|
+| No log        | 0.8   | 20   | 3.4324          | 1.4307 |
+
+
 ### Framework versions
 
 - Transformers 4.52.1