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--- |
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base_model: scales-okn/docket-language-model |
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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: ontology-answer-test |
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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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# ontology-answer-test |
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This model is a fine-tuned version of [scales-okn/docket-language-model](https://huggingface.co./scales-okn/docket-language-model) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.0009 |
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- Accuracy: 1.0 |
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- F1: 1.0 |
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- Precision: 1.0 |
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- Recall: 1.0 |
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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: 3e-05 |
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- train_batch_size: 8 |
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- eval_batch_size: 16 |
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- seed: 42 |
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- gradient_accumulation_steps: 2 |
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- total_train_batch_size: 16 |
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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: 0.06 |
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- num_epochs: 5 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 | Precision | Recall | |
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|:-------------:|:------:|:----:|:---------------:|:--------:|:------:|:---------:|:------:| |
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| 0.0233 | 1.2903 | 100 | 0.0434 | 0.9862 | 0.9720 | 0.9630 | 0.9811 | |
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| 0.0007 | 2.5806 | 200 | 0.0072 | 0.9954 | 0.9905 | 1.0 | 0.9811 | |
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| 0.0003 | 3.8710 | 300 | 0.0009 | 1.0 | 1.0 | 1.0 | 1.0 | |
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### Framework versions |
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- Transformers 4.41.2 |
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- Pytorch 2.1.2+cu121 |
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- Datasets 2.19.2 |
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- Tokenizers 0.19.1 |
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