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--- |
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tags: |
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- generated_from_trainer |
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model-index: |
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- name: experience-model-v1 |
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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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# experience-model-v1 |
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This model is intended to detect the presence of a present-moment experience a human or animal is experiencing in a sentence. |
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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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This model was trained on 745 training samples, with ~10% of them containing present moment experiences. |
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## Training procedure |
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This model was fine-tuned from 'microsoft/deberta-v3-large' using https://github.com/AlignmentResearch/experience-model. |
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### Training hyperparameters |
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It used the following hyperparameters: |
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learning_rate: 2.0 e-05 |
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batch_size: 16 |
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epochs: 200 |
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weight_decay: 0.01 |
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### Framework versions |
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- Transformers 4.26.1 |
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- Pytorch 1.13.1 |
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- Datasets 2.9.0 |
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- Tokenizers 0.13.2 |
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