| ---
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| license: apache-2.0
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| base_model: distilbert/distilroberta-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: BertQuake
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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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| [<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width="200" height="32"/>](https://wandb.ai/cole-d0/BertQuake/runs/qn68xuw3)
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| # BertQuake
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| This model is a fine-tuned version of [distilbert/distilroberta-base](https://huggingface.co/distilbert/distilroberta-base) on the None dataset.
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| It achieves the following results on the evaluation set:
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| - Loss: 0.0300
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| - Accuracy: 0.9964
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| ## Model description
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| More information needed
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| ## Intended uses & limitations
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| More information needed
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| ## Training and evaluation data
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| More information needed
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| ## Training procedure
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| ### Training hyperparameters
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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: 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: 5
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| ### Training results
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| | Training Loss | Epoch | Step | Validation Loss | Accuracy |
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| |:-------------:|:-----:|:-----:|:---------------:|:--------:|
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| | 0.0261 | 1.0 | 8745 | 0.0257 | 0.9955 |
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| | 0.0167 | 2.0 | 17490 | 0.0212 | 0.9968 |
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| | 0.0042 | 3.0 | 26235 | 0.0266 | 0.9968 |
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| | 0.0002 | 4.0 | 34980 | 0.0275 | 0.9963 |
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| | 0.0001 | 5.0 | 43725 | 0.0300 | 0.9964 |
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| ### Framework versions
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| - Transformers 4.42.3
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| - Pytorch 2.3.1+cu121
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| - Datasets 2.20.0
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| - Tokenizers 0.19.1
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