Model save

README.md

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+---
+library_name: transformers
+base_model: gokulsrinivasagan/bert_tiny_lda_100_v1_book
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+- f1
+model-index:
+- name: bert_tiny_lda_100_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_tiny_lda_100_v1_book_qqp
+
+This model is a fine-tuned version of [gokulsrinivasagan/bert_tiny_lda_100_v1_book](https://huggingface.co/gokulsrinivasagan/bert_tiny_lda_100_v1_book) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.4070
+- Accuracy: 0.8786
+- F1: 0.8329
+- Combined Score: 0.8558
+
+## 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 |
+|:-------------:|:-----:|:-----:|:---------------:|:--------:|:------:|:--------------:|
+| 0.4139        | 1.0   | 1422  | 0.3737          | 0.8295   | 0.7418 | 0.7857         |
+| 0.3158        | 2.0   | 2844  | 0.3214          | 0.8611   | 0.8107 | 0.8359         |
+| 0.2619        | 3.0   | 4266  | 0.3060          | 0.8700   | 0.8219 | 0.8459         |
+| 0.218         | 4.0   | 5688  | 0.3371          | 0.8694   | 0.8117 | 0.8405         |
+| 0.1821        | 5.0   | 7110  | 0.3295          | 0.8787   | 0.8341 | 0.8564         |
+| 0.1502        | 6.0   | 8532  | 0.3353          | 0.8790   | 0.8389 | 0.8589         |
+| 0.1258        | 7.0   | 9954  | 0.3609          | 0.8776   | 0.8375 | 0.8576         |
+| 0.105         | 8.0   | 11376 | 0.4070          | 0.8786   | 0.8329 | 0.8558         |
+
+
+### Framework versions
+
+- Transformers 4.46.3
+- Pytorch 2.2.1+cu118
+- Datasets 2.17.0
+- Tokenizers 0.20.3

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