Model save

README.md

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+---
+library_name: transformers
+base_model: gokulsrinivasagan/bert_base_lda_20_v1
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+- f1
+model-index:
+- name: bert_base_lda_20_v1_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_qqp
+
+This model is a fine-tuned version of [gokulsrinivasagan/bert_base_lda_20_v1](https://huggingface.co/gokulsrinivasagan/bert_base_lda_20_v1) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.6576
+- Accuracy: 0.6318
+- F1: 0.0
+- Combined Score: 0.3159
+
+## 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: 0.001
+- 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 |
+|:-------------:|:-----:|:-----:|:---------------:|:--------:|:---:|:--------------:|
+| 0.6686        | 1.0   | 1422  | 0.6588          | 0.6318   | 0.0 | 0.3159         |
+| 0.659         | 2.0   | 2844  | 0.6578          | 0.6318   | 0.0 | 0.3159         |
+| 0.6586        | 3.0   | 4266  | 0.6582          | 0.6318   | 0.0 | 0.3159         |
+| 0.6586        | 4.0   | 5688  | 0.6574          | 0.6318   | 0.0 | 0.3159         |
+| 0.6585        | 5.0   | 7110  | 0.6576          | 0.6318   | 0.0 | 0.3159         |
+| 0.6587        | 6.0   | 8532  | 0.6580          | 0.6318   | 0.0 | 0.3159         |
+| 0.6584        | 7.0   | 9954  | 0.6573          | 0.6318   | 0.0 | 0.3159         |
+| 0.6585        | 8.0   | 11376 | 0.6573          | 0.6318   | 0.0 | 0.3159         |
+| 0.6586        | 9.0   | 12798 | 0.6578          | 0.6318   | 0.0 | 0.3159         |
+| 0.6586        | 10.0  | 14220 | 0.6578          | 0.6318   | 0.0 | 0.3159         |
+| 0.6586        | 11.0  | 15642 | 0.6580          | 0.6318   | 0.0 | 0.3159         |
+| 0.662         | 12.0  | 17064 | 0.6576          | 0.6318   | 0.0 | 0.3159         |
+
+
+### Framework versions
+
+- Transformers 4.46.3
+- Pytorch 2.2.1+cu118
+- Datasets 2.17.0
+- Tokenizers 0.20.3

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