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README.md ADDED
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+ ---
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+ base_model: bigcode/starencoder
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+ tags:
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+ - generated_from_trainer
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+ metrics:
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+ - precision
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+ - recall
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+ - accuracy
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+ model-index:
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+ - name: stack-edu-classifier-cpp
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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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+ # stack-edu-classifier-cpp
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+
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+ This model is a fine-tuned version of [bigcode/starencoder](https://huggingface.co/bigcode/starencoder) on an unknown dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 0.4333
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+ - Precision: 0.4421
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+ - Recall: 0.2865
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+ - F1 Macro: 0.3036
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+ - Accuracy: 0.5539
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+ - F1 Binary Minimum3: 0.6643
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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: 0.0003
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+ - train_batch_size: 128
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+ - eval_batch_size: 256
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+ - seed: 0
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+ - distributed_type: multi-GPU
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+ - num_devices: 2
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+ - total_train_batch_size: 256
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+ - total_eval_batch_size: 512
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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_steps: 200
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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 | Precision | Recall | F1 Macro | Accuracy | F1 Binary Minimum3 |
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+ |:-------------:|:------:|:----:|:---------------:|:---------:|:------:|:--------:|:--------:|:------------------:|
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+ | No log | 0 | 0 | 8.4963 | 0.0009 | 0.1667 | 0.0018 | 0.0053 | 0 |
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+ | 0.4562 | 2.8986 | 1000 | 0.4489 | 0.4070 | 0.2717 | 0.2796 | 0.5560 | 0.6074 |
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+ | 0.4439 | 5.7971 | 2000 | 0.4318 | 0.4336 | 0.2774 | 0.2904 | 0.5589 | 0.6484 |
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+ | 0.4404 | 8.6957 | 3000 | 0.4333 | 0.4421 | 0.2865 | 0.3036 | 0.5539 | 0.6643 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.43.4
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+ - Pytorch 2.4.0+cu121
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+ - Datasets 2.21.0
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+ - Tokenizers 0.19.1
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