Model save

README.md

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+---
+library_name: transformers
+base_model: gokulsrinivasagan/bert_base_lda_20_v1_book
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+- f1
+model-index:
+- name: bert_base_lda_20_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_20_v1_book_qqp
+
+This model is a fine-tuned version of [gokulsrinivasagan/bert_base_lda_20_v1_book](https://huggingface.co/gokulsrinivasagan/bert_base_lda_20_v1_book) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.3932
+- Accuracy: 0.8967
+- F1: 0.8600
+- Combined Score: 0.8784
+
+## 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 |
+|:-------------:|:-----:|:-----:|:---------------:|:--------:|:------:|:--------------:|
+| 0.3572        | 1.0   | 1422  | 0.2867          | 0.8733   | 0.8318 | 0.8526         |
+| 0.2449        | 2.0   | 2844  | 0.2800          | 0.8809   | 0.8501 | 0.8655         |
+| 0.1784        | 3.0   | 4266  | 0.2672          | 0.8945   | 0.8609 | 0.8777         |
+| 0.1265        | 4.0   | 5688  | 0.2889          | 0.8951   | 0.8612 | 0.8782         |
+| 0.0934        | 5.0   | 7110  | 0.3325          | 0.8966   | 0.8566 | 0.8766         |
+| 0.0723        | 6.0   | 8532  | 0.3647          | 0.8955   | 0.8605 | 0.8780         |
+| 0.0576        | 7.0   | 9954  | 0.4287          | 0.8960   | 0.8634 | 0.8797         |
+| 0.0486        | 8.0   | 11376 | 0.3932          | 0.8967   | 0.8600 | 0.8784         |
+
+
+### Framework versions
+
+- Transformers 4.46.3
+- Pytorch 2.2.1+cu118
+- Datasets 2.17.0
+- Tokenizers 0.20.3

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