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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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- accuracy
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model-index:
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- name: mobilebert_sa_GLUE_Experiment_logit_kd_data_aug_sst2
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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_logit_kd_data_aug_sst2
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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: 0.4965
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- Accuracy: 0.8589
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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 | Accuracy |
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|:-------------:|:-----:|:-----:|:---------------:|:--------:|
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| 0.4923 | 1.0 | 8748 | 0.5804 | 0.8314 |
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| 0.3226 | 2.0 | 17496 | 0.5184 | 0.8475 |
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| 0.2725 | 3.0 | 26244 | 0.5341 | 0.8509 |
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| 0.2453 | 4.0 | 34992 | 0.4892 | 0.8521 |
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| 0.2278 | 5.0 | 43740 | 0.4834 | 0.8601 |
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| 0.2149 | 6.0 | 52488 | 0.4980 | 0.8624 |
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| 0.2047 | 7.0 | 61236 | 0.5031 | 0.8532 |
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| 0.1963 | 8.0 | 69984 | 0.5011 | 0.8509 |
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| 0.1893 | 9.0 | 78732 | 0.4899 | 0.8567 |
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| 0.1835 | 10.0 | 87480 | 0.4965 | 0.8589 |
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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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