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--- |
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license: agpl-3.0 |
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pipeline_tag: sentence-similarity |
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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: XLMR-ENIS-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: 0.8887885342806044 |
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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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# XLMR-ENIS-finetuned-stsb |
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This model is a fine-tuned version of [vesteinn/XLMR-ENIS](https://huggingface.co/vesteinn/XLMR-ENIS) on the glue dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.5232 |
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- Pearson: 0.8915 |
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- Spearmanr: 0.8888 |
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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 | 0.6330 | 0.8562 | 0.8570 | |
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| 1.2835 | 2.0 | 720 | 0.6368 | 0.8790 | 0.8781 | |
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| 0.4518 | 3.0 | 1080 | 0.5352 | 0.8883 | 0.8852 | |
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| 0.4518 | 4.0 | 1440 | 0.4881 | 0.8910 | 0.8885 | |
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| 0.288 | 5.0 | 1800 | 0.5232 | 0.8915 | 0.8888 | |
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### Framework versions |
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- Transformers 4.11.3 |
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- Pytorch 1.9.0+cu111 |
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- Datasets 1.13.0 |
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- Tokenizers 0.10.3 |
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