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--- |
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library_name: transformers |
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base_model: gokulsrinivasagan/bert_base_lda_5_v1 |
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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_base_lda_5_v1_qnli |
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results: [] |
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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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# bert_base_lda_5_v1_qnli |
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This model is a fine-tuned version of [gokulsrinivasagan/bert_base_lda_5_v1](https://huggingface.co/gokulsrinivasagan/bert_base_lda_5_v1) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.9600 |
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- Accuracy: 0.7428 |
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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: 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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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Accuracy | |
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|:-------------:|:-----:|:----:|:---------------:|:--------:| |
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| 0.6432 | 1.0 | 410 | 0.5686 | 0.7057 | |
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| 0.514 | 2.0 | 820 | 0.4835 | 0.7721 | |
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| 0.3845 | 3.0 | 1230 | 0.5231 | 0.7651 | |
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| 0.2671 | 4.0 | 1640 | 0.6302 | 0.7608 | |
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| 0.1749 | 5.0 | 2050 | 0.7121 | 0.7635 | |
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| 0.1231 | 6.0 | 2460 | 0.7854 | 0.7619 | |
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| 0.0932 | 7.0 | 2870 | 0.9600 | 0.7428 | |
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### Framework versions |
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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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