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Training in progress, step 500

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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: distilroberta-base
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+ tags:
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+ - generated_from_trainer
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+ model-index:
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+ - name: distilroberta-base-finetuned-github_cybersecurity_READMEs
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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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+ # distilroberta-base-finetuned-github_cybersecurity_READMEs
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+
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+ This model is a fine-tuned version of [distilroberta-base](https://huggingface.co/distilroberta-base) on an unknown dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 1.3245
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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: 2e-05
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+ - train_batch_size: 8
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+ - eval_batch_size: 8
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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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+ - num_epochs: 3.0
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+
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+ ### Training results
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+
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+ | Training Loss | Epoch | Step | Validation Loss |
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+ |:-------------:|:-----:|:-----:|:---------------:|
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+ | 1.6676 | 1.0 | 23957 | 1.5030 |
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+ | 1.5269 | 2.0 | 47914 | 1.3645 |
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+ | 1.4585 | 3.0 | 71871 | 1.3280 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.39.3
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+ - Pytorch 2.2.1
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+ - Datasets 2.18.0
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+ - Tokenizers 0.15.2
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  "torch_dtype": "float32",
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  "type_vocab_size": 1,
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  "vocab_size": 50265
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