Model save

README.md

@@ -1,43 +1,21 @@
 ---
 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 - Sanchit Gandhi
-  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: 32.28646406501312
+- name: whisper-small-ft-001
+  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. -->
 
-[<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/kokoorg/whisper-small-ft-001/runs/guxuploo)
-# Whisper Small Hi - Sanchit Gandhi
+[<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/kokoorg/whisper-small-ft-001/runs/we7mrlp5)
+# whisper-small-ft-001
 
-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: 0.4705
-- Wer: 32.2865
+This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on an unknown dataset.
 
 ## Model description
 
@@ -66,17 +44,6 @@ The following hyperparameters were used during training:
 - training_steps: 5000
 - mixed_precision_training: Native AMP
 
-### Training results
-
-| Training Loss | Epoch   | Step | Validation Loss | Wer     |
-|:-------------:|:-------:|:----:|:---------------:|:-------:|
-| 0.0921        | 2.4450  | 1000 | 0.2981          | 35.0419 |
-| 0.0229        | 4.8900  | 2000 | 0.3521          | 33.6832 |
-| 0.0016        | 7.3350  | 3000 | 0.4209          | 32.6970 |
-| 0.0006        | 9.7800  | 4000 | 0.4582          | 32.3584 |
-| 0.0002        | 12.2249 | 5000 | 0.4705          | 32.2865 |
-
-
 ### Framework versions
 
 - Transformers 4.44.2