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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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model-index:
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- name: tiny-mlm-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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# tiny-mlm-glue-stsb
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This model is a fine-tuned version of [google/bert_uncased_L-2_H-128_A-2](https://huggingface.co/google/bert_uncased_L-2_H-128_A-2) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 3.7830
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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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- num_epochs: 200
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### Training results
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| Training Loss | Epoch | Step | Validation Loss |
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|:-------------:|:-----:|:----:|:---------------:|
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| 4.7548 | 0.7 | 500 | 3.9253 |
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| 4.4535 | 1.39 | 1000 | 3.9069 |
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| 4.364 | 2.09 | 1500 | 3.8392 |
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| 4.1534 | 2.78 | 2000 | 3.7830 |
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| 4.2317 | 3.48 | 2500 | 3.7450 |
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| 4.1233 | 4.17 | 3000 | 3.7755 |
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| 4.0383 | 4.87 | 3500 | 3.7060 |
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| 4.0459 | 5.56 | 4000 | 3.8708 |
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| 3.9321 | 6.26 | 4500 | 3.8573 |
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| 4.0206 | 6.95 | 5000 | 3.7830 |
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### Framework versions
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- Transformers 4.26.0.dev0
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- Pytorch 1.13.0+cu116
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- Datasets 2.8.1.dev0
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- Tokenizers 0.13.2
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