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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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metrics:
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- spearmanr
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model-index:
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- name: olm-bert-tiny-december-2022-target-glue-stsb
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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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# olm-bert-tiny-december-2022-target-glue-stsb
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This model is a fine-tuned version of [muhtasham/olm-bert-tiny-december-2022](https://huggingface.co/muhtasham/olm-bert-tiny-december-2022) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 2.4058
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- Pearson: 0.3207
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- Spearmanr: 0.3227
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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: 3e-05
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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: constant
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- training_steps: 5000
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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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| 3.7225 | 2.78 | 500 | 2.3571 | 0.0394 | 0.0504 |
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| 1.9638 | 5.56 | 1000 | 2.3486 | 0.1721 | 0.1893 |
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| 1.7812 | 8.33 | 1500 | 2.3649 | 0.2248 | 0.2401 |
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| 1.5724 | 11.11 | 2000 | 2.3334 | 0.2645 | 0.2767 |
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| 1.3776 | 13.89 | 2500 | 2.4034 | 0.2785 | 0.2861 |
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| 1.2174 | 16.67 | 3000 | 2.3773 | 0.2963 | 0.3043 |
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| 1.0875 | 19.44 | 3500 | 2.3327 | 0.3213 | 0.3205 |
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| 0.9406 | 22.22 | 4000 | 2.3715 | 0.3216 | 0.3222 |
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| 0.8757 | 25.0 | 4500 | 2.3264 | 0.3274 | 0.3281 |
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| 0.7946 | 27.78 | 5000 | 2.4058 | 0.3207 | 0.3227 |
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### Framework versions
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- Transformers 4.27.0.dev0
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- Pytorch 1.13.1+cu116
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- Datasets 2.9.1.dev0
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- Tokenizers 0.13.2
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