Model save

README.md

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+---
+library_name: transformers
+base_model: gokulsrinivasagan/bert_base_lda_5_v1_book
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+- f1
+model-index:
+- name: bert_base_lda_5_v1_book_qqp
+  results: []
+---
+
+<!-- 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. -->
+
+# bert_base_lda_5_v1_book_qqp
+
+This model is a fine-tuned version of [gokulsrinivasagan/bert_base_lda_5_v1_book](https://huggingface.co/gokulsrinivasagan/bert_base_lda_5_v1_book) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.3934
+- Accuracy: 0.8972
+- F1: 0.8633
+- Combined Score: 0.8802
+
+## 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: 5e-05
+- train_batch_size: 256
+- eval_batch_size: 256
+- seed: 10
+- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
+- lr_scheduler_type: linear
+- num_epochs: 50
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1     | Combined Score |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|:--------------:|
+| 0.3439        | 1.0   | 1422 | 0.2776          | 0.8779   | 0.8319 | 0.8549         |
+| 0.2315        | 2.0   | 2844 | 0.2715          | 0.8830   | 0.8523 | 0.8676         |
+| 0.1614        | 3.0   | 4266 | 0.2738          | 0.8950   | 0.8622 | 0.8786         |
+| 0.1118        | 4.0   | 5688 | 0.3073          | 0.8937   | 0.8585 | 0.8761         |
+| 0.0815        | 5.0   | 7110 | 0.3470          | 0.8996   | 0.8653 | 0.8825         |
+| 0.0631        | 6.0   | 8532 | 0.3771          | 0.8963   | 0.8636 | 0.8800         |
+| 0.0515        | 7.0   | 9954 | 0.3934          | 0.8972   | 0.8633 | 0.8802         |
+
+
+### Framework versions
+
+- Transformers 4.46.3
+- Pytorch 2.2.1+cu118
+- Datasets 2.17.0
+- Tokenizers 0.20.3

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