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Nugrahasetyaardi
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SER_model_xapiens

Audio Classification
Transformers
TensorBoard
Safetensors
wav2vec2
Generated from Trainer
Inference Endpoints
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  1. README.md +12 -12
  2. model.safetensors +1 -1
  3. runs/Jun05_10-42-51_DESKTOP-6VKE8JE/events.out.tfevents.1717558972.DESKTOP-6VKE8JE.9188.4 +3 -0
  4. training_args.bin +1 -1
README.md CHANGED
@@ -17,8 +17,8 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [facebook/wav2vec2-base](https://huggingface.co/facebook/wav2vec2-base) on the None dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 1.9265
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- - Accuracy: 0.3565
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  ## Model description
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@@ -52,16 +52,16 @@ The following hyperparameters were used during training:
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy |
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  |:-------------:|:-----:|:----:|:---------------:|:--------:|
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- | 1.4373 | 1.0 | 12 | 1.8861 | 0.3578 |
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- | 1.501 | 2.0 | 24 | 1.8790 | 0.3735 |
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- | 1.5003 | 3.0 | 36 | 1.8961 | 0.3696 |
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- | 1.423 | 4.0 | 48 | 1.8633 | 0.3591 |
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- | 1.4632 | 5.0 | 60 | 1.8994 | 0.3526 |
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- | 1.4364 | 6.0 | 72 | 1.9166 | 0.3539 |
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- | 1.4105 | 7.0 | 84 | 1.9423 | 0.3499 |
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- | 1.3816 | 8.0 | 96 | 1.9297 | 0.3434 |
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- | 1.4097 | 9.0 | 108 | 1.9315 | 0.3578 |
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- | 1.3785 | 10.0 | 120 | 1.9265 | 0.3565 |
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  ### Framework versions
 
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  This model is a fine-tuned version of [facebook/wav2vec2-base](https://huggingface.co/facebook/wav2vec2-base) on the None dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 2.0576
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+ - Accuracy: 0.3263
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  ## Model description
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy |
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  |:-------------:|:-----:|:----:|:---------------:|:--------:|
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+ | 1.2851 | 1.0 | 12 | 2.0303 | 0.3591 |
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+ | 1.3553 | 2.0 | 24 | 1.9871 | 0.3578 |
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+ | 1.3409 | 3.0 | 36 | 2.0494 | 0.3447 |
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+ | 1.3693 | 4.0 | 48 | 1.9496 | 0.3342 |
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+ | 1.3302 | 5.0 | 60 | 2.0545 | 0.3132 |
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+ | 1.2847 | 6.0 | 72 | 2.0551 | 0.3290 |
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+ | 1.2733 | 7.0 | 84 | 2.0966 | 0.3224 |
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+ | 1.2499 | 8.0 | 96 | 2.0577 | 0.3185 |
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+ | 1.2894 | 9.0 | 108 | 2.0575 | 0.3211 |
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+ | 1.2753 | 10.0 | 120 | 2.0576 | 0.3263 |
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  ### Framework versions
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