| --- |
| language: |
| - en |
| license: apache-2.0 |
| tags: |
| - generated_from_trainer |
| datasets: |
| - mnli |
| metrics: |
| - accuracy |
| model-index: |
| - name: '42' |
| results: |
| - task: |
| name: Text Classification |
| type: text-classification |
| dataset: |
| name: MNLI |
| type: glue |
| args: mnli |
| metrics: |
| - name: Accuracy |
| type: accuracy |
| value: 0.8633723892002038 |
| --- |
| |
| <!-- This model card has been generated automatically according to the information the Trainer had access to. You |
| should probably proofread and complete it, then remove this comment. --> |
|
|
| # 42 |
|
|
| This model is a fine-tuned version of [bert-large-uncased](https://huggingface.co/bert-large-uncased) on the MNLI dataset. |
| It achieves the following results on the evaluation set: |
| - Loss: 0.8447 |
| - Accuracy: 0.8634 |
|
|
| ## Model description |
|
|
| More information needed |
|
|
| ## Intended uses & limitations |
|
|
| More information needed |
|
|
| ## Training and evaluation data |
|
|
| More information needed |
|
|
| ## Training procedure |
|
|
| ### Training hyperparameters |
|
|
| The following hyperparameters were used during training: |
| - learning_rate: 3e-05 |
| - train_batch_size: 32 |
| - eval_batch_size: 32 |
| - seed: 42 |
| - distributed_type: not_parallel |
| - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
| - lr_scheduler_type: linear |
| - num_epochs: 5 |
|
|
| ### Training results |
|
|
| | Training Loss | Epoch | Step | Validation Loss | Accuracy | |
| |:-------------:|:-----:|:-----:|:---------------:|:--------:| |
| | 0.4274 | 1.0 | 12272 | 0.3892 | 0.8524 | |
| | 0.2844 | 2.0 | 24544 | 0.4079 | 0.8565 | |
| | 0.1589 | 3.0 | 36816 | 0.5033 | 0.8527 | |
| | 0.0877 | 4.0 | 49088 | 0.6624 | 0.8576 | |
| | 0.0426 | 5.0 | 61360 | 0.8447 | 0.8634 | |
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|
| ### Framework versions |
|
|
| - Transformers 4.17.0 |
| - Pytorch 1.10.0+cu113 |
| - Datasets 2.7.1 |
| - Tokenizers 0.11.6 |
|
|
