End of training

README.md

@@ -19,8 +19,8 @@ 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 15.0 and 16.1 dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.3537
-- Wer: 70.0423
+- Loss: 0.3526
+- Wer: 67.6707
 
 ## Model description
 
@@ -46,7 +46,7 @@ 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
-- num_epochs: 1
+- num_epochs: 2
 - mixed_precision_training: Native AMP
 
 ### Training results
@@ -56,6 +56,9 @@ The following hyperparameters were used during training:
 | 0.4172        | 0.32  | 1000 | 0.4641          | 82.9494 |
 | 0.2962        | 0.64  | 2000 | 0.3834          | 73.8040 |
 | 0.229         | 0.97  | 3000 | 0.3537          | 70.0423 |
+| 0.1994        | 1.29  | 4000 | 0.3685          | 71.1599 |
+| 0.1693        | 1.61  | 5000 | 0.3551          | 67.8206 |
+| 0.1398        | 1.93  | 6000 | 0.3526          | 67.6707 |
 
 
 ### Framework versions

runs/Mar18_07-17-16_17b65097fa05/events.out.tfevents.1710746264.17b65097fa05.27.0

@@ -1,3 +1,3 @@
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+size 33789