Model save

README.md

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+---
+library_name: transformers
+base_model: gokulsrinivasagan/distilbert_lda_20_v1_book
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+- f1
+model-index:
+- name: distilbert_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. -->
+
+# distilbert_lda_20_v1_book_qqp
+
+This model is a fine-tuned version of [gokulsrinivasagan/distilbert_lda_20_v1_book](https://huggingface.co/gokulsrinivasagan/distilbert_lda_20_v1_book) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.3907
+- Accuracy: 0.8910
+- F1: 0.8556
+- Combined Score: 0.8733
+
+## 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 |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|:--------------:|
+| 0.3665        | 1.0   | 1422 | 0.2946          | 0.8691   | 0.8240 | 0.8466         |
+| 0.2538        | 2.0   | 2844 | 0.2665          | 0.8855   | 0.8476 | 0.8665         |
+| 0.1867        | 3.0   | 4266 | 0.2858          | 0.8875   | 0.8532 | 0.8703         |
+| 0.1356        | 4.0   | 5688 | 0.3081          | 0.8911   | 0.8477 | 0.8694         |
+| 0.0999        | 5.0   | 7110 | 0.3504          | 0.8922   | 0.8554 | 0.8738         |
+| 0.0769        | 6.0   | 8532 | 0.3767          | 0.8896   | 0.8550 | 0.8723         |
+| 0.0597        | 7.0   | 9954 | 0.3907          | 0.8910   | 0.8556 | 0.8733         |
+
+
+### Framework versions
+
+- Transformers 4.46.3
+- Pytorch 2.2.1+cu118
+- Datasets 2.17.0
+- Tokenizers 0.20.3

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