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_mrpc
+  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_mrpc
+
+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: 0.9451
+- Accuracy: 0.7892
+- F1: 0.8604
+- Combined Score: 0.8248
+
+## 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 |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|:--------------:|
+| 0.6176        | 1.0   | 15   | 0.5701          | 0.7034   | 0.8180 | 0.7607         |
+| 0.5574        | 2.0   | 30   | 0.5202          | 0.7377   | 0.8271 | 0.7824         |
+| 0.4414        | 3.0   | 45   | 0.5004          | 0.7721   | 0.8312 | 0.8016         |
+| 0.3089        | 4.0   | 60   | 0.6028          | 0.7598   | 0.8444 | 0.8021         |
+| 0.1931        | 5.0   | 75   | 0.6150          | 0.8162   | 0.8727 | 0.8444         |
+| 0.1366        | 6.0   | 90   | 0.7471          | 0.7794   | 0.8548 | 0.8171         |
+| 0.0839        | 7.0   | 105  | 0.7483          | 0.7990   | 0.8656 | 0.8323         |
+| 0.0409        | 8.0   | 120  | 0.9451          | 0.7892   | 0.8604 | 0.8248         |
+
+
+### Framework versions
+
+- Transformers 4.46.3
+- Pytorch 2.2.1+cu118
+- Datasets 2.17.0
+- Tokenizers 0.20.3

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