End of training

README.md

@@ -25,18 +25,18 @@ model-index:
     metrics:
     - name: Wer
       type: wer
-      value: 100.90154914077712
+      value: 65.68187589943282
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
 should probably proofread and complete it, then remove this comment. -->
 
-# Whisper Small Hi - Noumida A
+# Whisper Small Hi - NoumidaA
 
 This model is a fine-tuned version of [openai/whisper-tiny](https://huggingface.co/openai/whisper-tiny) on the Common Voice 11.0 dataset.
 It achieves the following results on the evaluation set:
-- Loss: 1.3567
-- Wer: 100.9015
+- Loss: 0.5952
+- Wer: 65.6819
 
 ## Model description
 
@@ -62,17 +62,14 @@ The following hyperparameters were used during training:
 - optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
 - lr_scheduler_type: linear
 - lr_scheduler_warmup_steps: 10
-- training_steps: 60
+- training_steps: 1000
 - mixed_precision_training: Native AMP
 
 ### Training results
 
-| Training Loss | Epoch  | Step | Validation Loss | Wer      |
-|:-------------:|:------:|:----:|:---------------:|:--------:|
-| 2.1039        | 0.0092 | 15   | 1.8021          | 222.1536 |
-| 1.5189        | 0.0183 | 30   | 1.5080          | 114.9920 |
-| 1.3841        | 0.0275 | 45   | 1.3985          | 102.6115 |
-| 1.3529        | 0.0367 | 60   | 1.3567          | 100.9015 |
+| Training Loss | Epoch  | Step | Validation Loss | Wer     |
+|:-------------:|:------:|:----:|:---------------:|:-------:|
+| 0.4581        | 0.6116 | 1000 | 0.5952          | 65.6819 |
 
 
 ### Framework versions

model.safetensors

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training_args.bin

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