End of training

README.md

@@ -2,27 +2,27 @@
 language:
 - hi
 license: apache-2.0
-base_model: openai/whisper-medium
+base_model: CKSINGH/whisper-small-hi-iiib
 tags:
 - hf-asr-leaderboard
 - generated_from_trainer
 metrics:
 - wer
 model-index:
-- name: Whisper small Hi - CKS 1611 firefox
+- name: CKSINGH whisper-small-hi-fiefox
   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 Hi - CKS 1611 firefox
+# CKSINGH whisper-small-hi-fiefox
 
-This model is a fine-tuned version of [openai/whisper-medium](https://huggingface.co/openai/whisper-medium) on the None dataset.
+This model is a fine-tuned version of [CKSINGH/whisper-small-hi-iiib](https://huggingface.co/CKSINGH/whisper-small-hi-iiib) on the Common Voice 13.0 dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.4267
-- Wer: 36.8876
-- Cer: 14.1067
+- Loss: 0.3975
+- Wer: 33.5625
+- Cer: 10.9848
 
 ## Model description
 
@@ -55,13 +55,13 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Wer     | Cer     |
 |:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|
-| 0.0159        | 0.14  | 1    | 0.4178          | 37.2719 | 14.0530 |
-| 0.0623        | 0.29  | 2    | 0.4267          | 36.8876 | 14.1067 |
+| 0.4544        | 0.0   | 1    | 0.5773          | 34.5894 | 11.3627 |
+| 0.5049        | 0.01  | 2    | 0.3975          | 33.5625 | 10.9848 |
 
 
 ### Framework versions
 
 - Transformers 4.36.0.dev0
 - Pytorch 2.1.0+cu118
-- Datasets 2.14.7
+- Datasets 2.15.0
 - Tokenizers 0.15.0