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End of training

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README.md ADDED
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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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+
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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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+
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+ # crossencoder-stsb-roberta-base
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+
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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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+
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+ ## Model description
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+
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+ More information needed
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+
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+ ## Intended uses & limitations
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+
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+ More information needed
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+
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+ ## Training and evaluation data
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+
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+ More information needed
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+
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+ ## Training procedure
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+
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+ ### Training hyperparameters
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+
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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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+
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+ ### Training results
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+
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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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+
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+
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+ ### Framework versions
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+
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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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