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--- |
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license: apache-2.0 |
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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: fudnet |
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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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# fudnet |
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This model is a fine-tuned version of [setu4993/LaBSE](https://huggingface.co/setu4993/LaBSE) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.1370 |
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- Accuracy: 0.9537 |
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## Model description |
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FUDNet is for Follow-Up Detector Net. |
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This model takes two consequtive questions of a multidoc2dial question answering conversation and determines whether those two questions are from the same documents or not. |
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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: 5e-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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- lr_scheduler_warmup_steps: 50 |
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- num_epochs: 2 |
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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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| 0.1946 | 1.0 | 732 | 0.1493 | 0.9453 | |
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| 0.0945 | 2.0 | 1464 | 0.1370 | 0.9537 | |
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### Framework versions |
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- Transformers 4.17.0 |
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- Pytorch 1.12.1+cu113 |
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- Datasets 2.0.0 |
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- Tokenizers 0.12.1 |
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