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update model card README.md
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README.md
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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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metrics:
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- accuracy
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model-index:
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- name: DistilRoBERTa_Thunderbird-Anomaly_Baseline
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results: []
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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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# DistilRoBERTa_Thunderbird-Anomaly_Baseline
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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: 0.0031
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- Accuracy: 0.9999
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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: 2e-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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- num_epochs: 10
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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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| 0.0958 | 1.0 | 1094 | 0.0623 | 0.9846 |
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| 0.0514 | 2.0 | 2188 | 0.0340 | 0.9846 |
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| 0.0261 | 3.0 | 3282 | 0.0168 | 0.9896 |
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| 0.0147 | 4.0 | 4376 | 0.0095 | 1.0 |
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| 0.01 | 5.0 | 5470 | 0.0061 | 1.0 |
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| 0.0071 | 6.0 | 6564 | 0.0042 | 1.0 |
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| 0.0058 | 7.0 | 7658 | 0.0031 | 1.0 |
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| 0.0046 | 8.0 | 8752 | 0.0025 | 1.0 |
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| 0.0043 | 9.0 | 9846 | 0.0022 | 1.0 |
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| 0.0038 | 10.0 | 10940 | 0.0021 | 1.0 |
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### Framework versions
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- Transformers 4.31.0
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- Pytorch 2.0.1+cu118
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- Datasets 2.14.4
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- Tokenizers 0.13.3
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