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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: mobilebert_sa_GLUE_Experiment_data_aug_stsb_128
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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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# mobilebert_sa_GLUE_Experiment_data_aug_stsb_128
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This model is a fine-tuned version of [google/mobilebert-uncased](https://huggingface.co/google/mobilebert-uncased) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 3.2021
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- Pearson: 0.1462
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- Spearmanr: 0.1530
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- Combined Score: 0.1496
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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: 5e-05
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- train_batch_size: 128
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- eval_batch_size: 128
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- seed: 10
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- distributed_type: multi-GPU
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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: 50
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Pearson | Spearmanr | Combined Score |
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|:-------------:|:-----:|:-----:|:---------------:|:-------:|:---------:|:--------------:|
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| 1.1017 | 1.0 | 2518 | 2.7704 | 0.1811 | 0.1984 | 0.1898 |
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| 0.654 | 2.0 | 5036 | 3.0506 | 0.1580 | 0.1703 | 0.1642 |
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| 0.5737 | 3.0 | 7554 | 3.1679 | 0.1482 | 0.1569 | 0.1526 |
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| 0.4954 | 4.0 | 10072 | 3.3175 | 0.1564 | 0.1617 | 0.1590 |
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| 0.3722 | 5.0 | 12590 | 2.9558 | 0.1426 | 0.1517 | 0.1471 |
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| 0.276 | 6.0 | 15108 | 3.2021 | 0.1462 | 0.1530 | 0.1496 |
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### Framework versions
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- Transformers 4.26.0
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- Pytorch 1.14.0a0+410ce96
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- Datasets 2.9.0
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- Tokenizers 0.13.2
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