End of training

README.md

@@ -20,7 +20,7 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the Common Voice 16.1 dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.3917
+- Loss: 0.3913
 
 ## Model description
 
@@ -45,8 +45,8 @@ 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_ratio: 0.06
-- num_epochs: 4
+- lr_scheduler_warmup_steps: 600
+- num_epochs: 6
 - mixed_precision_training: Native AMP
 
 ### Training results
@@ -56,7 +56,9 @@ The following hyperparameters were used during training:
 | 0.6127        | 1.0   | 1550 | 0.5854          |
 | 0.4298        | 2.0   | 3100 | 0.4626          |
 | 0.2312        | 3.0   | 4650 | 0.4104          |
-| 0.1511        | 4.0   | 6200 | 0.3917          |
+| 0.1738        | 4.0   | 6200 | 0.4112          |
+| 0.1321        | 5.0   | 7750 | 0.3960          |
+| 0.0718        | 6.0   | 9300 | 0.3913          |
 
 
 ### Framework versions

adapter_model.safetensors

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 size 19548472

runs/Apr19_06-26-50_15ed49df87c4/events.out.tfevents.1713508014.15ed49df87c4.26.0

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