End of training

README.md

@@ -16,15 +16,6 @@ should probably proofread and complete it, then remove this comment. -->
 # whisper-small-minds14
 
 This model is a fine-tuned version of [openai/whisper-tiny](https://huggingface.co/openai/whisper-tiny) on the PolyAI/minds14 dataset.
-It achieves the following results on the evaluation set:
-- eval_loss: 0.6912
-- eval_wer_ortho: 0.2727
-- eval_wer: 0.2792
-- eval_runtime: 60.5357
-- eval_samples_per_second: 1.867
-- eval_steps_per_second: 0.132
-- epoch: 27.59
-- step: 800
 
 ## Model description
 
@@ -50,7 +41,14 @@ The following hyperparameters were used during training:
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: constant_with_warmup
 - lr_scheduler_warmup_steps: 50
-- training_steps: 1200
+- training_steps: 10
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Wer Ortho | Wer    |
+|:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|
+| No log        | 0.34  | 10   | 0.6913          | 0.2721    | 0.2786 |
+
 
 ### Framework versions