Model save

README.md

@@ -1,22 +1,24 @@
 ---
-language:
-- eng
-base_model: openai/whisper-small-2000
+license: apache-2.0
+base_model: openai/whisper-tiny
 tags:
 - generated_from_trainer
-datasets:
-- Kaggle/transcription_audio
+metrics:
+- wer
 model-index:
-- name: Whisper Small Eng - noursene
+- name: whisper-tiny-2000
   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 Small Eng - noursene
+# whisper-tiny-2000
 
-This model is a fine-tuned version of [openai/whisper-small-2000](https://huggingface.co/openai/whisper-small-2000) on the medical audio trascription dataset.
+This model is a fine-tuned version of [openai/whisper-tiny](https://huggingface.co/openai/whisper-tiny) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.1612
+- Wer: 10.5366
 
 ## Model description
 
@@ -47,6 +49,16 @@ The following hyperparameters were used during training:
 - training_steps: 2000
 - mixed_precision_training: Native AMP
 
+### Training results
+
+| Training Loss | Epoch   | Step | Validation Loss | Wer     |
+|:-------------:|:-------:|:----:|:---------------:|:-------:|
+| 0.191         | 3.0257  | 500  | 0.2308          | 14.0727 |
+| 0.0375        | 6.0514  | 1000 | 0.1570          | 10.9975 |
+| 0.0045        | 9.0772  | 1500 | 0.1594          | 10.7598 |
+| 0.0029        | 12.1029 | 2000 | 0.1612          | 10.5366 |
+
+
 ### Framework versions
 
 - Transformers 4.40.2