Model save

README.md

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+---
+library_name: transformers
+base_model: gokulsrinivasagan/bert_base_lda_5
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+model-index:
+- name: bert_base_lda_5_wnli
+  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_5_wnli
+
+This model is a fine-tuned version of [gokulsrinivasagan/bert_base_lda_5](https://huggingface.co/gokulsrinivasagan/bert_base_lda_5) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.6926
+- Accuracy: 0.5634
+
+## 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: 30
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Accuracy |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|
+| 1.121         | 1.0   | 3    | 0.8205          | 0.5634   |
+| 1.6034        | 2.0   | 6    | 1.7293          | 0.4366   |
+| 0.9483        | 3.0   | 9    | 0.7649          | 0.4366   |
+| 0.7514        | 4.0   | 12   | 0.7557          | 0.5634   |
+| 0.746         | 5.0   | 15   | 0.8105          | 0.4366   |
+| 0.7896        | 6.0   | 18   | 0.7383          | 0.4366   |
+| 0.7573        | 7.0   | 21   | 0.6853          | 0.5634   |
+| 0.6951        | 8.0   | 24   | 0.8346          | 0.4366   |
+| 0.746         | 9.0   | 27   | 0.6906          | 0.5634   |
+| 0.6992        | 10.0  | 30   | 0.6849          | 0.5634   |
+| 0.6942        | 11.0  | 33   | 0.7009          | 0.4366   |
+| 0.7           | 12.0  | 36   | 0.6951          | 0.4366   |
+| 0.6976        | 13.0  | 39   | 0.6854          | 0.5634   |
+| 0.6999        | 14.0  | 42   | 0.6901          | 0.5634   |
+| 0.6948        | 15.0  | 45   | 0.6926          | 0.5634   |
+
+
+### Framework versions
+
+- Transformers 4.46.3
+- Pytorch 2.2.1+cu118
+- Datasets 2.17.0
+- Tokenizers 0.20.3

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