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---
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base_model: princeton-nlp/sup-simcse-roberta-large
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tags:
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- generated_from_trainer
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metrics:
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- pearsonr
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- spearmanr
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model-index:
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- name: enc_bi_encoder__lr_1e-5__wd_0.1__trans_False__obj_mse__tri_None__s_42
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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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# enc_bi_encoder__lr_1e-5__wd_0.1__trans_False__obj_mse__tri_None__s_42
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This model is a fine-tuned version of [princeton-nlp/sup-simcse-roberta-large](https://huggingface.co/princeton-nlp/sup-simcse-roberta-large) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.0951
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- Mse: 0.0951
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- Pearsonr: 0.4802
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- Spearmanr: 0.4799
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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: 1e-05
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- train_batch_size: 8
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- eval_batch_size: 8
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- seed: 42
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- gradient_accumulation_steps: 4
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- total_train_batch_size: 32
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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_ratio: 0.1
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- num_epochs: 3.0
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- mixed_precision_training: Native AMP
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Mse | Pearsonr | Spearmanr |
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|:-------------:|:-----:|:----:|:---------------:|:------:|:--------:|:---------:|
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| No log | 1.0 | 354 | 0.0973 | 0.0973 | 0.4643 | 0.4659 |
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| 0.0949 | 2.0 | 709 | 0.0964 | 0.0964 | 0.4691 | 0.4692 |
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| 0.0785 | 3.0 | 1062 | 0.0951 | 0.0951 | 0.4802 | 0.4799 |
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### Framework versions
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- Transformers 4.37.2
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- Pytorch 2.0.1
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- Datasets 2.18.0
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- Tokenizers 0.15.1
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