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README.md
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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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datasets:
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- glue
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metrics:
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- spearmanr
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model-index:
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- name: canine-s-finetuned-stsb
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results:
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- task:
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name: Text Classification
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type: text-classification
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dataset:
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name: glue
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type: glue
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args: stsb
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metrics:
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- name: Spearmanr
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type: spearmanr
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value: 0.8397182061195433
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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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# canine-s-finetuned-stsb
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This model is a fine-tuned version of [google/canine-s](https://huggingface.co/google/canine-s) on the glue dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.7223
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- Pearson: 0.8397
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- Spearmanr: 0.8397
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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: 2e-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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- num_epochs: 5
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Pearson | Spearmanr |
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|:-------------:|:-----:|:----:|:---------------:|:-------:|:---------:|
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| No log | 1.0 | 360 | 0.7938 | 0.8083 | 0.8077 |
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| 1.278 | 2.0 | 720 | 0.7349 | 0.8322 | 0.8305 |
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| 0.6765 | 3.0 | 1080 | 0.7075 | 0.8374 | 0.8366 |
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| 0.6765 | 4.0 | 1440 | 0.7586 | 0.8360 | 0.8376 |
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| 0.4629 | 5.0 | 1800 | 0.7223 | 0.8397 | 0.8397 |
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### Framework versions
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- Transformers 4.17.0
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- Pytorch 1.10.0+cu111
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- Datasets 2.0.0
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- Tokenizers 0.11.6
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