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--- |
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language: |
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- en |
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license: apache-2.0 |
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tags: |
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- generated_from_trainer |
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datasets: |
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- glue |
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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_256 |
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results: |
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- task: |
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name: Text Classification |
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type: text-classification |
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dataset: |
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name: GLUE MRPC |
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type: glue |
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args: mrpc |
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metrics: |
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- name: Accuracy |
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type: accuracy |
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value: 1.0 |
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- name: F1 |
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type: f1 |
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value: 1.0 |
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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_mrpc_256 |
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This model is a fine-tuned version of [google/mobilebert-uncased](https://huggingface.co/google/mobilebert-uncased) on the GLUE MRPC 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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## 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 | F1 | Combined Score | |
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|:-------------:|:-----:|:-----:|:---------------:|:--------:|:------:|:--------------:| |
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| 0.1854 | 1.0 | 1959 | 0.0199 | 0.9975 | 0.9982 | 0.9979 | |
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| 0.04 | 2.0 | 3918 | 0.0050 | 0.9975 | 0.9982 | 0.9979 | |
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| 0.0253 | 3.0 | 5877 | 0.0015 | 1.0 | 1.0 | 1.0 | |
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| 0.0175 | 4.0 | 7836 | 0.0003 | 1.0 | 1.0 | 1.0 | |
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| 0.0134 | 5.0 | 9795 | 0.0001 | 1.0 | 1.0 | 1.0 | |
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| 0.0107 | 6.0 | 11754 | 0.0001 | 1.0 | 1.0 | 1.0 | |
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| 0.0081 | 7.0 | 13713 | 0.0012 | 1.0 | 1.0 | 1.0 | |
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| 0.0062 | 8.0 | 15672 | 0.0000 | 1.0 | 1.0 | 1.0 | |
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| 0.0061 | 9.0 | 17631 | 0.0001 | 1.0 | 1.0 | 1.0 | |
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| 0.0044 | 10.0 | 19590 | 0.0002 | 1.0 | 1.0 | 1.0 | |
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| 0.0041 | 11.0 | 21549 | 0.0000 | 1.0 | 1.0 | 1.0 | |
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| 0.0034 | 12.0 | 23508 | 0.0000 | 1.0 | 1.0 | 1.0 | |
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| 0.0029 | 13.0 | 25467 | 0.0000 | 1.0 | 1.0 | 1.0 | |
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| 0.0016 | 14.0 | 27426 | 0.0000 | 1.0 | 1.0 | 1.0 | |
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| 0.0019 | 15.0 | 29385 | 0.0140 | 0.9975 | 0.9982 | 0.9979 | |
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| 0.0018 | 16.0 | 31344 | 0.0001 | 1.0 | 1.0 | 1.0 | |
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| 0.0012 | 17.0 | 33303 | 0.0000 | 1.0 | 1.0 | 1.0 | |
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| 0.0013 | 18.0 | 35262 | 0.0000 | 1.0 | 1.0 | 1.0 | |
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| 0.0008 | 19.0 | 37221 | 0.0000 | 1.0 | 1.0 | 1.0 | |
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| 0.0011 | 20.0 | 39180 | 0.0000 | 1.0 | 1.0 | 1.0 | |
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| 0.0005 | 21.0 | 41139 | 0.0007 | 1.0 | 1.0 | 1.0 | |
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| 0.0009 | 22.0 | 43098 | 0.0000 | 1.0 | 1.0 | 1.0 | |
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| 0.0004 | 23.0 | 45057 | 0.0000 | 1.0 | 1.0 | 1.0 | |
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| 0.0004 | 24.0 | 47016 | 0.0000 | 1.0 | 1.0 | 1.0 | |
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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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