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--- |
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license: apache-2.0 |
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base_model: cross-encoder/stsb-roberta-large |
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tags: |
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- generated_from_trainer |
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model-index: |
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- name: crossencoder-airline-refine-010 |
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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-airline-refine-010 |
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This model is a fine-tuned version of [cross-encoder/stsb-roberta-large](https://huggingface.co/cross-encoder/stsb-roberta-large) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 8.0523 |
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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-08 |
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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: cosine |
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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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| 15.341 | 1.0 | 157 | 14.5631 | |
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| 12.2879 | 2.0 | 314 | 13.3058 | |
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| 12.5681 | 3.0 | 471 | 11.4717 | |
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| 12.8002 | 4.0 | 628 | 9.8398 | |
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| 10.1409 | 5.0 | 785 | 8.8337 | |
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| 9.4818 | 6.0 | 942 | 8.1771 | |
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| 9.277 | 7.0 | 1099 | 7.7594 | |
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| 9.2643 | 8.0 | 1256 | 7.5311 | |
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| 8.7124 | 9.0 | 1413 | 7.4428 | |
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| 8.9775 | 10.0 | 1570 | 7.4347 | |
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### Framework versions |
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- Transformers 4.38.1 |
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- Pytorch 2.0.1 |
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- Datasets 2.17.1 |
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- Tokenizers 0.15.2 |
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