Model save

README.md

@@ -17,8 +17,8 @@ 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 None dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.2076
-- Wer: 209.1717
+- Loss: 0.2367
+- Wer: 149.6566
 
 ## 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
-- training_steps: 4000
+- training_steps: 8000
 - mixed_precision_training: Native AMP
 
 ### Training results
@@ -57,6 +57,10 @@ The following hyperparameters were used during training:
 | 0.0329        | 2.67  | 2000 | 0.1929          | 157.7172 |
 | 0.0085        | 4.0   | 3000 | 0.2002          | 185.5758 |
 | 0.0019        | 5.33  | 4000 | 0.2076          | 209.1717 |
+| 0.0032        | 6.67  | 5000 | 0.2236          | 185.9394 |
+| 0.0022        | 8.0   | 6000 | 0.2272          | 148.3434 |
+| 0.0005        | 9.33  | 7000 | 0.2343          | 154.9495 |
+| 0.0004        | 10.67 | 8000 | 0.2367          | 149.6566 |
 
 
 ### Framework versions

model.safetensors

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runs/Jan03_18-17-38_Edge-Ai/events.out.tfevents.1704277059.Edge-Ai.5345.0

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training_args.bin

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