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mobilebert_sa_GLUE_Experiment_data_aug_mrpc

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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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+ - f1
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+ model-index:
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+ - name: mobilebert_sa_GLUE_Experiment_data_aug_mrpc
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+ results: []
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+ ---
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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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+
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+ # mobilebert_sa_GLUE_Experiment_data_aug_mrpc
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+
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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: 0.0000
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+ - Accuracy: 1.0
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+ - F1: 1.0
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+ - Combined Score: 1.0
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+
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+ ## Model description
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+
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+ More information needed
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+
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+ ## Intended uses & limitations
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+
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+ More information needed
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+
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+ ## Training and evaluation data
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+
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+ More information needed
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+
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+ ## Training procedure
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+
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+ ### Training hyperparameters
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+
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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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+
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+ ### Training results
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+
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+ | Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 | Combined Score |
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+ |:-------------:|:-----:|:-----:|:---------------:|:--------:|:------:|:--------------:|
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+ | 0.1838 | 1.0 | 1959 | 0.0138 | 0.9951 | 0.9964 | 0.9958 |
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+ | 0.0406 | 2.0 | 3918 | 0.0055 | 1.0 | 1.0 | 1.0 |
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+ | 0.0267 | 3.0 | 5877 | 0.0129 | 0.9975 | 0.9982 | 0.9979 |
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+ | 0.0151 | 4.0 | 7836 | 0.0004 | 1.0 | 1.0 | 1.0 |
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+ | 0.0108 | 5.0 | 9795 | 0.0104 | 0.9975 | 0.9982 | 0.9979 |
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+ | 0.0075 | 6.0 | 11754 | 0.0000 | 1.0 | 1.0 | 1.0 |
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+ | 0.0059 | 7.0 | 13713 | 0.0005 | 1.0 | 1.0 | 1.0 |
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+ | 0.0047 | 8.0 | 15672 | 0.0000 | 1.0 | 1.0 | 1.0 |
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+ | 0.0033 | 9.0 | 17631 | 0.0001 | 1.0 | 1.0 | 1.0 |
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+ | 0.0031 | 10.0 | 19590 | 0.0000 | 1.0 | 1.0 | 1.0 |
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+ | 0.0025 | 11.0 | 21549 | 0.0000 | 1.0 | 1.0 | 1.0 |
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+ | 0.0019 | 12.0 | 23508 | 0.0000 | 1.0 | 1.0 | 1.0 |
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+ | 0.0019 | 13.0 | 25467 | 0.0000 | 1.0 | 1.0 | 1.0 |
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+ | 0.0014 | 14.0 | 27426 | 0.0000 | 1.0 | 1.0 | 1.0 |
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+ | 0.001 | 15.0 | 29385 | 0.0000 | 1.0 | 1.0 | 1.0 |
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+ | 0.001 | 16.0 | 31344 | 0.0000 | 1.0 | 1.0 | 1.0 |
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+ | 0.0009 | 17.0 | 33303 | 0.0000 | 1.0 | 1.0 | 1.0 |
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+ | 0.0009 | 18.0 | 35262 | 0.0000 | 1.0 | 1.0 | 1.0 |
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+ | 0.0006 | 19.0 | 37221 | 0.0000 | 1.0 | 1.0 | 1.0 |
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+ | 0.0006 | 20.0 | 39180 | 0.0000 | 1.0 | 1.0 | 1.0 |
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+ | 0.0003 | 21.0 | 41139 | 0.0000 | 1.0 | 1.0 | 1.0 |
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+ | 0.0003 | 22.0 | 43098 | 0.0000 | 1.0 | 1.0 | 1.0 |
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+ | 0.0005 | 23.0 | 45057 | 0.0000 | 1.0 | 1.0 | 1.0 |
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+
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+
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+ ### Framework versions
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+
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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