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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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model-index: |
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- name: mobilebert_sa_GLUE_Experiment_logit_kd_qnli |
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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 QNLI |
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type: glue |
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config: qnli |
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split: validation |
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args: qnli |
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metrics: |
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- name: Accuracy |
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type: accuracy |
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value: 0.615595826468973 |
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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_qnli |
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This model is a fine-tuned version of [google/mobilebert-uncased](https://huggingface.co/google/mobilebert-uncased) on the GLUE QNLI dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.9573 |
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- Accuracy: 0.6156 |
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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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| 1.0984 | 1.0 | 819 | 0.9626 | 0.6220 | |
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| 1.0171 | 2.0 | 1638 | 0.9573 | 0.6156 | |
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| 0.9717 | 3.0 | 2457 | 0.9651 | 0.6105 | |
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| 0.9377 | 4.0 | 3276 | 0.9713 | 0.6024 | |
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| 0.9132 | 5.0 | 4095 | 0.9812 | 0.5988 | |
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| 0.89 | 6.0 | 4914 | 1.0108 | 0.5982 | |
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| 0.8683 | 7.0 | 5733 | 1.0290 | 0.5914 | |
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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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