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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: small-mlm-glue-mnli
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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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# small-mlm-glue-mnli
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This model is a fine-tuned version of [google/bert_uncased_L-4_H-512_A-8](https://huggingface.co/google/bert_uncased_L-4_H-512_A-8) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 2.8314
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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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| 3.0194 | 0.4 | 500 | 2.7922 |
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| 3.0037 | 0.8 | 1000 | 2.8022 |
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| 2.9388 | 1.2 | 1500 | 2.7826 |
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| 2.915 | 1.6 | 2000 | 2.7838 |
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| 2.8626 | 2.0 | 2500 | 2.7769 |
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| 2.7908 | 2.4 | 3000 | 2.7829 |
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| 2.789 | 2.8 | 3500 | 2.7933 |
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| 2.7784 | 3.2 | 4000 | 2.8314 |
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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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