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update model card README.md

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@@ -7,16 +7,6 @@ metrics:
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  model-index:
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  - name: wav2vec2-base-finetune-vi-v2
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  results: []
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- widget:
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- - example_title: SOICT 2023 - SLU public test 1
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- src: >-
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- https://huggingface.co/foxxy-hm/wav2vec2-base-finetune-vi/raw/main/audio-test/055R7BruAa333g9teFfamQH.wav
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- - example_title: SOICT 2023 - SLU public test 2
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- src: >-
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- https://huggingface.co/foxxy-hm/wav2vec2-base-finetune-vi/raw/main/audio-test/0BLHhoJexE8THB8BrsZxWbh.wav
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- - example_title: SOICT 2023 - SLU public test 3
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- src: >-
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- https://huggingface.co/foxxy-hm/wav2vec2-base-finetune-vi/raw/main/audio-test/1ArUTGWJQ9YALH2xaNhU6GV.wav
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  ---
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  <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -26,8 +16,8 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [nguyenvulebinh/wav2vec2-base-vietnamese-250h](https://huggingface.co/nguyenvulebinh/wav2vec2-base-vietnamese-250h) on the None dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 5.0628
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- - Wer: 1.0
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  ## Model description
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@@ -46,20 +36,23 @@ More information needed
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  ### Training hyperparameters
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  The following hyperparameters were used during training:
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- - learning_rate: 0.0001
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  - train_batch_size: 8
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  - eval_batch_size: 8
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  - seed: 42
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  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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  - lr_scheduler_type: linear
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  - lr_scheduler_warmup_steps: 1000
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- - num_epochs: 1
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  ### Training results
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- | Training Loss | Epoch | Step | Validation Loss | Wer |
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- |:-------------:|:-----:|:----:|:---------------:|:---:|
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- | 12.7418 | 0.67 | 500 | 5.0628 | 1.0 |
 
 
 
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  ### Framework versions
 
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  model-index:
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  - name: wav2vec2-base-finetune-vi-v2
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  results: []
 
 
 
 
 
 
 
 
 
 
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  ---
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  <!-- This model card has been generated automatically according to the information the Trainer had access to. You
 
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  This model is a fine-tuned version of [nguyenvulebinh/wav2vec2-base-vietnamese-250h](https://huggingface.co/nguyenvulebinh/wav2vec2-base-vietnamese-250h) on the None dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 4.6968
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+ - Wer: 0.9698
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  ## Model description
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  ### Training hyperparameters
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  The following hyperparameters were used during training:
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+ - learning_rate: 3e-05
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  - train_batch_size: 8
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  - eval_batch_size: 8
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  - seed: 42
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  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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  - lr_scheduler_type: linear
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  - lr_scheduler_warmup_steps: 1000
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+ - num_epochs: 3
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  ### Training results
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+ | Training Loss | Epoch | Step | Validation Loss | Wer |
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+ |:-------------:|:-----:|:----:|:---------------:|:------:|
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+ | 17.4813 | 0.67 | 500 | 5.4377 | 0.9996 |
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+ | 5.4042 | 1.34 | 1000 | 5.0291 | 0.9996 |
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+ | 4.836 | 2.0 | 1500 | 4.9688 | 0.9694 |
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+ | 4.7651 | 2.67 | 2000 | 4.6968 | 0.9698 |
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  ### Framework versions