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--- |
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license: apache-2.0 |
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base_model: cross-encoder/stsb-roberta-base |
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tags: |
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- generated_from_trainer |
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model-index: |
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- name: crossencoder-stsb-roberta-base |
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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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# crossencoder-stsb-roberta-base |
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This model is a fine-tuned version of [cross-encoder/stsb-roberta-base](https://huggingface.co/cross-encoder/stsb-roberta-base) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.0011 |
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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: 5e-05 |
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- train_batch_size: 16 |
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- eval_batch_size: 16 |
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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: 500 |
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- num_epochs: 10 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:-----:|:----:|:---------------:| |
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| 0.0152 | 1.0 | 125 | 0.0099 | |
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| 0.0047 | 2.0 | 250 | 0.0013 | |
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| 0.0057 | 3.0 | 375 | 0.0025 | |
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| 0.0032 | 4.0 | 500 | 0.0027 | |
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| 0.0033 | 5.0 | 625 | 0.0164 | |
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| 0.0026 | 6.0 | 750 | 0.0002 | |
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| 0.0034 | 7.0 | 875 | 0.0035 | |
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| 0.002 | 8.0 | 1000 | 0.0057 | |
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| 0.002 | 9.0 | 1125 | 0.0016 | |
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| 0.0016 | 10.0 | 1250 | 0.0017 | |
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### Framework versions |
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- Transformers 4.37.2 |
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- Pytorch 2.1.0 |
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- Datasets 2.14.6 |
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- Tokenizers 0.15.1 |
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