End of training

README.md

@@ -1,23 +1,42 @@
 ---
 language:
-- hi
+- dv
 license: apache-2.0
 base_model: openai/whisper-small
 tags:
 - generated_from_trainer
 datasets:
-- mozilla-foundation/common_voice_11_0
+- mozilla-foundation/common_voice_13_0
+metrics:
+- wer
 model-index:
-- name: Test model
-  results: []
+- name: custom_data_test
+  results:
+  - task:
+      name: Automatic Speech Recognition
+      type: automatic-speech-recognition
+    dataset:
+      name: Common Voice 13
+      type: mozilla-foundation/common_voice_13_0
+      config: custom_data
+      split: test
+      args: custom_data
+    metrics:
+    - name: Wer
+      type: wer
+      value: 100.0
 ---
 
 <!-- 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. -->
 
-# Test model
+# custom_data_test
 
-This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the Common Voice 11.0 dataset.
+This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the Common Voice 13 dataset.
+It achieves the following results on the evaluation set:
+- Loss: 4.6504
+- Wer Ortho: 100.0
+- Wer: 100.0
 
 ## Model description
 
@@ -38,15 +57,18 @@ More information needed
 The following hyperparameters were used during training:
 - learning_rate: 1e-05
 - train_batch_size: 16
-- eval_batch_size: 8
+- eval_batch_size: 16
 - seed: 42
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
-- lr_scheduler_type: linear
-- lr_scheduler_warmup_steps: 2
-- training_steps: 2
+- lr_scheduler_type: constant_with_warmup
+- lr_scheduler_warmup_steps: 1
+- training_steps: 4
 
 ### Training results
 
+| Training Loss | Epoch | Step | Validation Loss | Wer Ortho | Wer   |
+|:-------------:|:-----:|:----:|:---------------:|:---------:|:-----:|
+| 6.149         | 0.57  | 4    | 4.6504          | 100.0     | 100.0 |
 
 
 ### Framework versions