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  2. model.safetensors +1 -1
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: wav2vec2-present
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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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+ # wav2vec2-present
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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 the None dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 0.0890
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+ - Accuracy: 0.9848
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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: 4
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+ - eval_batch_size: 4
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+ - seed: 0
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+ - gradient_accumulation_steps: 2
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+ - total_train_batch_size: 8
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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: 10.0
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+ - mixed_precision_training: Native AMP
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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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+ | 0.5946 | 1.0 | 1539 | 0.1872 | 0.9646 |
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+ | 0.1682 | 2.0 | 3079 | 0.1441 | 0.9706 |
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+ | 0.2124 | 3.0 | 4618 | 0.1407 | 0.9710 |
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+ | 0.1806 | 4.0 | 6158 | 0.1073 | 0.9793 |
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+ | 0.131 | 5.0 | 7697 | 0.0699 | 0.9825 |
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+ | 0.2269 | 6.0 | 9237 | 0.0918 | 0.9816 |
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+ | 0.1406 | 7.0 | 10776 | 0.1027 | 0.9821 |
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+ | 0.0865 | 8.0 | 12316 | 0.1005 | 0.9834 |
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+ | 0.0806 | 9.0 | 13855 | 0.0867 | 0.9857 |
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+ | 0.06 | 10.0 | 15390 | 0.0890 | 0.9848 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.36.0.dev0
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+ - Pytorch 2.1.0+cu121
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+ - Datasets 2.13.1
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+ - Tokenizers 0.15.0
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