End of training

README.md

@@ -1,21 +1,43 @@
 ---
 library_name: transformers
+language:
+- hi
 license: apache-2.0
 base_model: openai/whisper-small
 tags:
 - generated_from_trainer
+datasets:
+- mozilla-foundation/common_voice_11_0
+metrics:
+- wer
 model-index:
-- name: whisper-small-hi-test
-  results: []
+- name: Whisper Small Hi - Gokul
+  results:
+  - task:
+      name: Automatic Speech Recognition
+      type: automatic-speech-recognition
+    dataset:
+      name: Common Voice 11.0
+      type: mozilla-foundation/common_voice_11_0
+      config: hi
+      split: None
+      args: 'config: hi, split: test'
+    metrics:
+    - name: Wer
+      type: wer
+      value: 32.38381444171675
 ---
 
 <!-- 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. -->
 
 [<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width="200" height="32"/>](https://wandb.ai/neuronbit-tech/hindi-test-finetune-whisper-small/runs/c1c1hfzg)
-# whisper-small-hi-test
+# Whisper Small Hi - Gokul
 
-This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on an unknown dataset.
+This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the Common Voice 11.0 dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.4393
+- Wer: 32.3838
 
 ## Model description
 
@@ -44,6 +66,16 @@ The following hyperparameters were used during training:
 - training_steps: 4000
 - mixed_precision_training: Native AMP
 
+### Training results
+
+| Training Loss | Epoch  | Step | Validation Loss | Wer     |
+|:-------------:|:------:|:----:|:---------------:|:-------:|
+| 0.0919        | 2.4450 | 1000 | 0.2983          | 35.0885 |
+| 0.0204        | 4.8900 | 2000 | 0.3562          | 33.6705 |
+| 0.0014        | 7.3350 | 3000 | 0.4152          | 32.4134 |
+| 0.0005        | 9.7800 | 4000 | 0.4393          | 32.3838 |
+
+
 ### Framework versions
 
 - Transformers 4.45.2