Training in progress, step 2600

README.md

@@ -19,6 +19,14 @@ should probably proofread and complete it, then remove this comment. -->
 # Whisper Small PS - Hanif Rahman
 
 This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the Common Voice 17.0 dataset.
+It achieves the following results on the evaluation set:
+- eval_loss: 0.7573
+- eval_wer: 46.1819
+- eval_runtime: 395.7975
+- eval_samples_per_second: 1.294
+- eval_steps_per_second: 0.162
+- epoch: 5.7143
+- step: 2600
 
 ## Model description
 
@@ -44,13 +52,9 @@ The following hyperparameters were used during training:
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear
 - lr_scheduler_warmup_steps: 500
-- training_steps: 10
+- training_steps: 4000
 - mixed_precision_training: Native AMP
 
-### Training results
-
-
-
 ### Framework versions
 
 - Transformers 4.45.1

model.safetensors

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runs/Oct02_10-20-58_992d6719519c/events.out.tfevents.1727864473.992d6719519c.573.1

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