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ismichel
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humor_model_v2

Audio Classification
Transformers
TensorBoard
Safetensors
wav2vec2
Generated from Trainer
Inference Endpoints
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Training in progress, epoch 0

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  1. README.md +72 -0
  2. config.json +118 -0
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README.md ADDED
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+ ---
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+ license: apache-2.0
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+ base_model: facebook/wav2vec2-base
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+ tags:
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+ - generated_from_trainer
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+ metrics:
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+ - accuracy
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+ model-index:
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+ - name: humor_model_v2
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+ results: []
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+ ---
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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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+ should probably proofread and complete it, then remove this comment. -->
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+
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+ # humor_model_v2
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+
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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: 0.2683
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+ - Accuracy: 0.9639
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+
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+ ## Model description
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+
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+ More information needed
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+
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+ ## Intended uses & limitations
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+
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+ More information needed
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+
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+ ## Training and evaluation data
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+
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+ More information needed
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+
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+ ## Training procedure
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+
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+ ### Training hyperparameters
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+
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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: 32
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+ - eval_batch_size: 32
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+ - seed: 42
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+ - gradient_accumulation_steps: 4
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+ - total_train_batch_size: 128
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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_ratio: 0.1
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+ - num_epochs: 10
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+
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+ ### Training results
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+
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+ | Training Loss | Epoch | Step | Validation Loss | Accuracy |
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+ |:-------------:|:------:|:----:|:---------------:|:--------:|
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+ | No log | 0.9524 | 5 | 0.6652 | 0.9157 |
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+ | 0.6722 | 1.9048 | 10 | 0.5931 | 0.9217 |
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+ | 0.6722 | 2.8571 | 15 | 0.5272 | 0.9337 |
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+ | 0.5461 | 4.0 | 21 | 0.4712 | 0.8554 |
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+ | 0.5461 | 4.9524 | 26 | 0.3943 | 0.8916 |
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+ | 0.3891 | 5.9048 | 31 | 0.3369 | 0.9337 |
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+ | 0.3891 | 6.8571 | 36 | 0.3099 | 0.9398 |
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+ | 0.2976 | 8.0 | 42 | 0.2811 | 0.9578 |
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+ | 0.2976 | 8.9524 | 47 | 0.2713 | 0.9578 |
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+ | 0.2393 | 9.5238 | 50 | 0.2683 | 0.9639 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.41.1
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+ - Pytorch 2.3.0+cu121
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+ - Datasets 2.19.1
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+ - Tokenizers 0.19.1
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