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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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- mnli |
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metrics: |
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- accuracy |
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model-index: |
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- name: '42' |
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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: MNLI |
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type: glue |
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args: mnli |
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metrics: |
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- name: Accuracy |
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type: accuracy |
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value: 0.8633723892002038 |
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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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# 42 |
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This model is a fine-tuned version of [bert-large-uncased](https://huggingface.co/bert-large-uncased) on the MNLI dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.8447 |
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- Accuracy: 0.8634 |
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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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- distributed_type: not_parallel |
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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: 5 |
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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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| 0.4274 | 1.0 | 12272 | 0.3892 | 0.8524 | |
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| 0.2844 | 2.0 | 24544 | 0.4079 | 0.8565 | |
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| 0.1589 | 3.0 | 36816 | 0.5033 | 0.8527 | |
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| 0.0877 | 4.0 | 49088 | 0.6624 | 0.8576 | |
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| 0.0426 | 5.0 | 61360 | 0.8447 | 0.8634 | |
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### Framework versions |
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- Transformers 4.17.0 |
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- Pytorch 1.10.0+cu113 |
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- Datasets 2.7.1 |
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- Tokenizers 0.11.6 |
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