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rishiA
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humor_model_v2

Audio Classification
Transformers
TensorBoard
Safetensors
wav2vec2
Generated from Trainer
Inference Endpoints
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End of training

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Files changed (3) hide show
  1. README.md +12 -12
  2. model.safetensors +1 -1
  3. runs/May26_07-48-51_e7e43b6fa54b/events.out.tfevents.1716709732.e7e43b6fa54b.174.7 +2 -2
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 an unknown dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.1819
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- - Accuracy: 0.9398
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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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- | No log | 0.9524 | 5 | 0.4664 | 0.9337 |
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- | 0.443 | 1.9048 | 10 | 0.3254 | 0.9096 |
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- | 0.443 | 2.8571 | 15 | 0.2968 | 0.8916 |
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- | 0.2815 | 4.0 | 21 | 0.2199 | 0.9578 |
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- | 0.2815 | 4.9524 | 26 | 0.2257 | 0.9217 |
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- | 0.1788 | 5.9048 | 31 | 0.1849 | 0.9880 |
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- | 0.1788 | 6.8571 | 36 | 0.1843 | 0.9819 |
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- | 0.1849 | 8.0 | 42 | 0.2169 | 0.9277 |
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- | 0.1849 | 8.9524 | 47 | 0.2018 | 0.9277 |
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- | 0.107 | 9.5238 | 50 | 0.1819 | 0.9398 |
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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 an unknown dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.1846
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+ - Accuracy: 0.9518
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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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+ | No log | 0.9524 | 5 | 0.2954 | 0.8735 |
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+ | 0.1335 | 1.9048 | 10 | 0.2288 | 0.9819 |
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+ | 0.1335 | 2.8571 | 15 | 0.2370 | 0.9096 |
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+ | 0.0989 | 4.0 | 21 | 0.1206 | 0.9699 |
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+ | 0.0989 | 4.9524 | 26 | 0.1464 | 0.9759 |
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+ | 0.0682 | 5.9048 | 31 | 0.1805 | 0.9759 |
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+ | 0.0682 | 6.8571 | 36 | 0.1404 | 0.9759 |
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+ | 0.0525 | 8.0 | 42 | 0.2232 | 0.9337 |
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+ | 0.0525 | 8.9524 | 47 | 0.1909 | 0.9518 |
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+ | 0.0455 | 9.5238 | 50 | 0.1846 | 0.9518 |
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  ### Framework versions
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