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: 0.8206
+- Loss: 0.9520
 
 ## Model description
 
@@ -48,23 +48,21 @@ 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_ratio: 0.1
-- num_epochs: 4
+- num_epochs: 2
 - mixed_precision_training: Native AMP
 
 ### Training results
 
-| Training Loss | Epoch  | Step | Validation Loss |
-|:-------------:|:------:|:----:|:---------------:|
-| 1.0718        | 0.9998 | 2498 | 1.0502          |
-| 0.827         | 1.9998 | 4996 | 0.8812          |
-| 0.7326        | 3.0    | 7495 | 0.8333          |
-| 0.6033        | 3.9994 | 9992 | 0.8206          |
+| Training Loss | Epoch | Step | Validation Loss |
+|:-------------:|:-----:|:----:|:---------------:|
+| 1.0115        | 1.0   | 2500 | 1.0421          |
+| 0.8407        | 2.0   | 5000 | 0.9520          |
 
 
 ### Framework versions
 
 - PEFT 0.10.0
-- Transformers 4.40.1
+- Transformers 4.40.2
 - Pytorch 2.3.0+cu121
-- Datasets 2.19.0
+- Datasets 2.19.1
 - Tokenizers 0.19.1

runs/May09_20-57-33_2273a0b140ef/events.out.tfevents.1715288254.2273a0b140ef.26.0

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+size 48628