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End of training

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  2. model.safetensors +1 -1
README.md ADDED
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+ ---
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+ library_name: transformers
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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: training_zscaler_dataset
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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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+ # training_zscaler_dataset
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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: 0.5501
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+ - Accuracy: 0.7355
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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: 1e-05
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+ - train_batch_size: 32
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+ - eval_batch_size: 64
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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: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
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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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+ | 0.6553 | 1.0 | 10 | 0.7152 | 0.4416 |
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+ | 0.6279 | 2.0 | 20 | 0.5893 | 0.7532 |
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+ | 0.5993 | 3.0 | 30 | 0.5791 | 0.7532 |
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+ | 0.5761 | 4.0 | 40 | 0.5538 | 0.7727 |
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+ | 0.5483 | 5.0 | 50 | 0.5169 | 0.8052 |
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+ | 0.5291 | 6.0 | 60 | 0.5496 | 0.7662 |
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+ | 0.5016 | 7.0 | 70 | 0.6360 | 0.6883 |
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+ | 0.4962 | 8.0 | 80 | 0.4710 | 0.8312 |
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+ | 0.4807 | 9.0 | 90 | 0.5224 | 0.7987 |
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+ | 0.4798 | 10.0 | 100 | 0.4764 | 0.8182 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.53.3
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+ - Pytorch 2.7.1+cu126
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+ - Datasets 4.0.0
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+ - Tokenizers 0.21.2
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