duylong/finetuneWhisper

README.md

@@ -2,8 +2,6 @@
 base_model: vinai/PhoWhisper-small
 tags:
 - generated_from_trainer
-metrics:
-- wer
 model-index:
 - name: whisper-small2-vi
   results: []
@@ -15,9 +13,6 @@ should probably proofread and complete it, then remove this comment. -->
 # whisper-small2-vi
 
 This model is a fine-tuned version of [vinai/PhoWhisper-small](https://huggingface.co/vinai/PhoWhisper-small) on an unknown dataset.
-It achieves the following results on the evaluation set:
-- Loss: 0.2336
-- Wer: 7.8066
 
 ## Model description
 
@@ -48,17 +43,6 @@ The following hyperparameters were used during training:
 - training_steps: 5000
 - mixed_precision_training: Native AMP
 
-### Training results
-
-| Training Loss | Epoch | Step | Validation Loss | Wer     |
-|:-------------:|:-----:|:----:|:---------------:|:-------:|
-| 0.3058        | 1.6   | 1000 | 0.3433          | 28.2955 |
-| 0.1055        | 3.2   | 2000 | 0.3438          | 10.0351 |
-| 0.0521        | 4.8   | 3000 | 0.2550          | 7.4959  |
-| 0.0073        | 6.4   | 4000 | 0.2338          | 7.8336  |
-| 0.0032        | 8.0   | 5000 | 0.2336          | 7.8066  |
-
-
 ### Framework versions
 
 - Transformers 4.44.0.dev0

model.safetensors

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training_args.bin

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