End of training

README.md

@@ -1,20 +1,40 @@
 ---
 library_name: transformers
+language:
+- sw
 license: apache-2.0
 base_model: openai/whisper-small
 tags:
 - generated_from_trainer
+datasets:
+- DigitalUmuganda/AfriVoice
+metrics:
+- wer
 model-index:
-- name: whisper-lingala-small-test
-  results: []
+- name: Whisper Small Hi - Sanchit Gandhi
+  results:
+  - task:
+      name: Automatic Speech Recognition
+      type: automatic-speech-recognition
+    dataset:
+      name: AfriVoice
+      type: DigitalUmuganda/AfriVoice
+      args: 'config: sw, split: test'
+    metrics:
+    - name: Wer
+      type: wer
+      value: 53.52916232990247
 ---
 
 <!-- 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-lingala-small-test
+# Whisper Small Hi - Sanchit Gandhi
 
-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 AfriVoice dataset.
+It achieves the following results on the evaluation set:
+- Loss: 1.6526
+- Wer: 53.5292
 
 ## Model description
 
@@ -42,16 +62,23 @@ The following hyperparameters were used during training:
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear
 - lr_scheduler_warmup_steps: 500
-- num_epochs: 13
+- training_steps: 5000
 - mixed_precision_training: Native AMP
 
 ### Training results
 
+| Training Loss | Epoch    | Step | Validation Loss | Wer     |
+|:-------------:|:--------:|:----:|:---------------:|:-------:|
+| 0.0002        | 153.8462 | 1000 | 1.4799          | 52.3072 |
+| 0.0001        | 307.6923 | 2000 | 1.5528          | 52.1298 |
+| 0.0           | 461.5385 | 3000 | 1.6058          | 52.3033 |
+| 0.0           | 615.3846 | 4000 | 1.6294          | 52.8546 |
+| 0.0           | 769.2308 | 5000 | 1.6526          | 53.5292 |
 
 
 ### Framework versions
 
 - Transformers 4.44.2
 - Pytorch 2.1.0+cu118
-- Datasets 2.20.0
+- Datasets 2.21.0
 - Tokenizers 0.19.1

model.safetensors

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