Model save

README.md

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+---
+library_name: transformers
+base_model: gokulsrinivasagan/bert_tiny_lda_50_v1_book
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+- f1
+model-index:
+- name: bert_tiny_lda_50_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_50_v1_book_qqp
+
+This model is a fine-tuned version of [gokulsrinivasagan/bert_tiny_lda_50_v1_book](https://huggingface.co/gokulsrinivasagan/bert_tiny_lda_50_v1_book) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.3984
+- Accuracy: 0.8820
+- F1: 0.8376
+- Combined Score: 0.8598
+
+## 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 |
+|:-------------:|:-----:|:-----:|:---------------:|:--------:|:------:|:--------------:|
+| 0.4008        | 1.0   | 1422  | 0.3670          | 0.8389   | 0.7596 | 0.7993         |
+| 0.3043        | 2.0   | 2844  | 0.3162          | 0.8636   | 0.8129 | 0.8383         |
+| 0.2505        | 3.0   | 4266  | 0.3001          | 0.8728   | 0.8237 | 0.8482         |
+| 0.2074        | 4.0   | 5688  | 0.3213          | 0.8740   | 0.8186 | 0.8463         |
+| 0.1699        | 5.0   | 7110  | 0.3346          | 0.8776   | 0.8287 | 0.8531         |
+| 0.1392        | 6.0   | 8532  | 0.3586          | 0.8808   | 0.8395 | 0.8602         |
+| 0.1151        | 7.0   | 9954  | 0.3763          | 0.8820   | 0.8390 | 0.8605         |
+| 0.0954        | 8.0   | 11376 | 0.3984          | 0.8820   | 0.8376 | 0.8598         |
+
+
+### Framework versions
+
+- Transformers 4.46.3
+- Pytorch 2.2.1+cu118
+- Datasets 2.17.0
+- Tokenizers 0.20.3

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