End of training

README.md

@@ -6,7 +6,7 @@ base_model: openai/whisper-small
 tags:
 - generated_from_trainer
 datasets:
-- fruk19/N_SMALL
+- fruk19/S_SMALL
 metrics:
 - wer
 model-index:
@@ -17,14 +17,14 @@ model-index:
       type: automatic-speech-recognition
     dataset:
       name: aicookcook
-      type: fruk19/N_SMALL
+      type: fruk19/S_SMALL
       config: default
       split: None
       args: 'config: th'
     metrics:
     - name: Wer
       type: wer
-      value: 5.935640886965928
+      value: 17.728859060402684
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -34,8 +34,8 @@ 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 aicookcook dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.0751
-- Wer: 5.9356
+- Loss: 0.1606
+- Wer: 17.7289
 
 ## Model description
 
@@ -61,15 +61,15 @@ 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: 1000
-- num_epochs: 4
+- num_epochs: 5
 - mixed_precision_training: Native AMP
 
 ### Training results
 
-| Training Loss | Epoch | Step  | Validation Loss | Wer    |
-|:-------------:|:-----:|:-----:|:---------------:|:------:|
-| 0.0448        | 2.0   | 6000  | 0.0807          | 7.6528 |
-| 0.0046        | 4.0   | 12000 | 0.0751          | 5.9356 |
+| Training Loss | Epoch | Step  | Validation Loss | Wer     |
+|:-------------:|:-----:|:-----:|:---------------:|:-------:|
+| 0.1544        | 2.0   | 6000  | 0.1638          | 20.1799 |
+| 0.0584        | 4.0   | 12000 | 0.1606          | 17.7289 |
 
 
 ### Framework versions

runs/Jun21_18-48-21_fruk19pc/events.out.tfevents.1718970502.fruk19pc.13940.1

@@ -1,3 +1,3 @@
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+size 39187