End of training

README.md

@@ -4,6 +4,8 @@ license: apache-2.0
 base_model: openai/whisper-tiny
 tags:
 - generated_from_trainer
+metrics:
+- wer
 model-index:
 - name: whisper-tiny-akan
   results: []
@@ -15,6 +17,9 @@ should probably proofread and complete it, then remove this comment. -->
 # whisper-tiny-akan
 
 This model is a fine-tuned version of [openai/whisper-tiny](https://huggingface.co/openai/whisper-tiny) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.9100
+- Wer: 66.6103
 
 ## Model description
 
@@ -39,10 +44,18 @@ The following hyperparameters were used during training:
 - seed: 42
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear
-- lr_scheduler_warmup_steps: 200
+- lr_scheduler_warmup_steps: 500
 - training_steps: 2000
 - mixed_precision_training: Native AMP
 
+### Training results
+
+| Training Loss | Epoch   | Step | Validation Loss | Wer     |
+|:-------------:|:-------:|:----:|:---------------:|:-------:|
+| 0.2912        | 11.6279 | 1000 | 0.7922          | 61.7088 |
+| 0.0927        | 23.2558 | 2000 | 0.9100          | 66.6103 |
+
+
 ### Framework versions
 
 - Transformers 4.44.2

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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+oid sha256:4b41cd0b9dac16686b1e949cb42bce7fa5a3f81a299bdf59bfe3fea0977d3ebf
 size 151061672