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Lasion
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wav2vec2-common-voice-16_1_vi

Automatic Speech Recognition
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wav2vec2
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  1. README.md +8 -8
  2. model.safetensors +1 -1
  3. runs/Apr29_08-18-22_eac612c9136b/events.out.tfevents.1714378731.eac612c9136b.2924.4 +3 -0
  4. runs/Apr29_08-48-39_eac612c9136b/events.out.tfevents.1714380544.eac612c9136b.2924.5 +3 -0
  5. training_args.bin +1 -1
README.md CHANGED
@@ -32,7 +32,7 @@ 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-vi](https://huggingface.co/nguyenvulebinh/wav2vec2-base-vi) on the common_voice_16_1 dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 3.5320
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  - Wer: 0.9999
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  ## Model description
@@ -66,13 +66,13 @@ The following hyperparameters were used during training:
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  | Training Loss | Epoch | Step | Validation Loss | Wer |
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  |:-------------:|:-------:|:----:|:---------------:|:------:|
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- | 23.1642 | 4.2373 | 500 | 9.3416 | 0.9999 |
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- | 4.3182 | 8.4746 | 1000 | 3.5487 | 0.9999 |
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- | 3.4768 | 12.7119 | 1500 | 3.5353 | 0.9999 |
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- | 3.4681 | 16.9492 | 2000 | 3.5314 | 0.9999 |
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- | 3.4635 | 21.1864 | 2500 | 3.5318 | 0.9999 |
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- | 3.4642 | 25.4237 | 3000 | 3.5313 | 0.9999 |
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- | 3.4753 | 29.6610 | 3500 | 3.5320 | 0.9999 |
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  ### Framework versions
 
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  This model is a fine-tuned version of [nguyenvulebinh/wav2vec2-base-vi](https://huggingface.co/nguyenvulebinh/wav2vec2-base-vi) on the common_voice_16_1 dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 3.5323
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  - Wer: 0.9999
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  ## Model description
 
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  | Training Loss | Epoch | Step | Validation Loss | Wer |
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  |:-------------:|:-------:|:----:|:---------------:|:------:|
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+ | 21.7841 | 4.2373 | 500 | 7.6684 | 0.9999 |
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+ | 4.0045 | 8.4746 | 1000 | 3.5474 | 0.9999 |
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+ | 3.4763 | 12.7119 | 1500 | 3.5357 | 0.9999 |
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+ | 3.4721 | 16.9492 | 2000 | 3.5319 | 0.9999 |
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+ | 3.4661 | 21.1864 | 2500 | 3.5321 | 0.9999 |
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+ | 3.464 | 25.4237 | 3000 | 3.5315 | 0.9999 |
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+ | 3.4732 | 29.6610 | 3500 | 3.5323 | 0.9999 |
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  ### Framework versions
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