| | ---
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| | library_name: transformers
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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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| | model-index:
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| | - name: bert_nli_ensemble
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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
|
| | should probably proofread and complete it, then remove this comment. -->
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| |
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| | # bert_nli_ensemble
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| |
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| | This model is a fine-tuned version of [](https://huggingface.co/) on an unknown dataset.
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| | It achieves the following results on the evaluation set:
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| | - Loss: 1.1080
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| | - Accuracy: 0.8434
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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: 16
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| | - eval_batch_size: 16
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| | - seed: 42
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| | - optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
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| | - lr_scheduler_type: linear
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| | - num_epochs: 4
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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 |
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| | |:-------------:|:-----:|:----:|:---------------:|:--------:|
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| | | 0.3935 | 1.0 | 1527 | 0.4004 | 0.8227 |
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| | | 0.2173 | 2.0 | 3054 | 0.5325 | 0.8358 |
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| | | 0.0854 | 3.0 | 4581 | 0.8695 | 0.8377 |
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| | | 0.0136 | 4.0 | 6108 | 1.1080 | 0.8434 |
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| |
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| | ### Framework versions
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| |
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| | - Transformers 4.50.2
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| | - Pytorch 2.8.0.dev20250326+cu128
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| | - Datasets 3.5.0
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| | - Tokenizers 0.21.1
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| |
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