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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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+ 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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+ - f1
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+ - precision
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+ - recall
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+ model-index:
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+ - name: wav2vec2-base-ft-children-with-sli
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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-base-ft-children-with-sli
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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 ChildrenSLIDataset dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 0.1079
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+ - Accuracy: 0.9722
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+ - F1: 0.9712
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+ - Precision: 0.9670
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+ - Recall: 0.9771
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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: 5e-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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+ - 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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+ - 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 | F1 | Precision | Recall |
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+ |:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|:---------:|:------:|
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+ | 0.6402 | 1.0 | 32 | 0.6563 | 0.6071 | 0.3778 | 0.3036 | 0.5 |
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+ | 0.446 | 2.0 | 64 | 0.6949 | 0.5357 | 0.5048 | 0.7292 | 0.6176 |
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+ | 0.3454 | 3.0 | 96 | 0.2953 | 0.8690 | 0.8677 | 0.8708 | 0.8886 |
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+ | 0.0703 | 4.0 | 128 | 0.1439 | 0.9563 | 0.9548 | 0.9507 | 0.9605 |
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+ | 0.0458 | 5.0 | 160 | 0.0759 | 0.9841 | 0.9834 | 0.9834 | 0.9834 |
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+ | 0.0844 | 6.0 | 192 | 1.0983 | 0.7421 | 0.7416 | 0.8018 | 0.7876 |
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+ | 0.1241 | 7.0 | 224 | 0.1313 | 0.9683 | 0.9672 | 0.9626 | 0.9739 |
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+ | 0.0454 | 8.0 | 256 | 0.0824 | 0.9802 | 0.9794 | 0.9760 | 0.9837 |
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+ | 0.0403 | 9.0 | 288 | 0.0715 | 0.9802 | 0.9794 | 0.9760 | 0.9837 |
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+ | 0.0241 | 10.0 | 320 | 0.1079 | 0.9722 | 0.9712 | 0.9670 | 0.9771 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.42.0.dev0
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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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