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README.md ADDED
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+ ---
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+ library_name: transformers
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+ license: apache-2.0
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+ base_model: google/bert_uncased_L-4_H-128_A-2
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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_uncased_L-4_H-128_A-2_qnli
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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
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+ should probably proofread and complete it, then remove this comment. -->
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+
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+ # bert_uncased_L-4_H-128_A-2_qnli
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+
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+ This model is a fine-tuned version of [google/bert_uncased_L-4_H-128_A-2](https://huggingface.co/google/bert_uncased_L-4_H-128_A-2) on an unknown dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 0.4378
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+ - Accuracy: 0.8089
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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: 256
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+ - eval_batch_size: 256
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+ - seed: 10
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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: 50
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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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+ | 0.5299 | 1.0 | 410 | 0.4915 | 0.7730 |
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+ | 0.4658 | 2.0 | 820 | 0.4281 | 0.8040 |
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+ | 0.4407 | 3.0 | 1230 | 0.4085 | 0.8122 |
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+ | 0.4184 | 4.0 | 1640 | 0.4172 | 0.8115 |
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+ | 0.3983 | 5.0 | 2050 | 0.4166 | 0.8104 |
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+ | 0.3799 | 6.0 | 2460 | 0.4329 | 0.8063 |
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+ | 0.3614 | 7.0 | 2870 | 0.4182 | 0.8151 |
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+ | 0.3438 | 8.0 | 3280 | 0.4378 | 0.8089 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.46.3
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+ - Pytorch 2.2.1+cu118
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+ - Datasets 2.17.0
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+ - Tokenizers 0.20.3
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