training complete

README.md

@@ -3,6 +3,8 @@ license: apache-2.0
 base_model: openai/whisper-small
 tags:
 - generated_from_trainer
+metrics:
+- wer
 model-index:
 - name: yoruba_whisper
   results: []
@@ -14,6 +16,9 @@ should probably proofread and complete it, then remove this comment. -->
 # yoruba_whisper
 
 This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.5111
+- Wer: 221.1051
 
 ## Model description
 
@@ -42,6 +47,16 @@ The following hyperparameters were used during training:
 - training_steps: 4000
 - mixed_precision_training: Native AMP
 
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Wer      |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|
+| 0.6764        | 0.87  | 1000 | 0.6795          | 266.4845 |
+| 0.4882        | 1.74  | 2000 | 0.5525          | 380.7616 |
+| 0.2862        | 2.61  | 3000 | 0.5148          | 201.8339 |
+| 0.2029        | 3.48  | 4000 | 0.5111          | 221.1051 |
+
+
 ### Framework versions
 
 - Transformers 4.36.2

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:155e59a9dd3e440b0ccee14bc8a3c296181f14bdf4ddfc57d1da0bcb503350ba
+oid sha256:723a7a19bafd154e4019304db382275bc6a86f239d5b1e9108516bd8b57b1189
 size 966995080