aisha-org/whisper-distil-v2

README.md

@@ -2,6 +2,8 @@
 base_model: distil-whisper/distil-large-v2
 library_name: peft
 license: mit
+metrics:
+- wer
 tags:
 - generated_from_trainer
 model-index:
@@ -16,6 +18,10 @@ should probably proofread and complete it, then remove this comment. -->
 # distil-whisper-large-v2
 
 This model is a fine-tuned version of [distil-whisper/distil-large-v2](https://huggingface.co/distil-whisper/distil-large-v2) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 7.1657
+- Wer Ortho: 100.0
+- Wer: 100.0
 
 ## Model description
 
@@ -43,6 +49,16 @@ The following hyperparameters were used during training:
 - lr_scheduler_warmup_steps: 500
 - num_epochs: 10
 
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Wer Ortho | Wer   |
+|:-------------:|:-----:|:----:|:---------------:|:---------:|:-----:|
+| 8.0272        | 1.0   | 3    | 7.0930          | 100.0     | 100.0 |
+| 8.4161        | 2.0   | 6    | 7.1227          | 100.0     | 100.0 |
+| 8.1907        | 3.0   | 9    | 7.1657          | 100.0     | 100.0 |
+| 8.12          | 4.0   | 12   | 7.1657          | 100.0     | 100.0 |
+
+
 ### Framework versions
 
 - PEFT 0.13.2

adapter_model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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 size 23613424