Model save

README.md

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+---
+library_name: transformers
+base_model: gokulsrinivasagan/bert_base_lda
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+model-index:
+- name: bert_base_lda_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_wnli
+
+This model is a fine-tuned version of [gokulsrinivasagan/bert_base_lda](https://huggingface.co/gokulsrinivasagan/bert_base_lda) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.6906
+- 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: 50
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Accuracy |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|
+| 1.1638        | 1.0   | 3    | 1.4608          | 0.5634   |
+| 1.0198        | 2.0   | 6    | 1.1097          | 0.5634   |
+| 1.1474        | 3.0   | 9    | 0.8995          | 0.5634   |
+| 0.8846        | 4.0   | 12   | 0.8201          | 0.4366   |
+| 0.7886        | 5.0   | 15   | 0.6994          | 0.4366   |
+| 0.738         | 6.0   | 18   | 0.7087          | 0.5634   |
+| 0.7195        | 7.0   | 21   | 0.7214          | 0.4366   |
+| 0.7036        | 8.0   | 24   | 0.6931          | 0.5634   |
+| 0.6935        | 9.0   | 27   | 0.6896          | 0.5634   |
+| 0.6941        | 10.0  | 30   | 0.6926          | 0.5634   |
+| 0.6949        | 11.0  | 33   | 0.6936          | 0.4366   |
+| 0.6959        | 12.0  | 36   | 0.6911          | 0.5634   |
+| 0.6927        | 13.0  | 39   | 0.6864          | 0.5634   |
+| 0.6928        | 14.0  | 42   | 0.6893          | 0.5634   |
+| 0.6958        | 15.0  | 45   | 0.6896          | 0.5634   |
+| 0.6936        | 16.0  | 48   | 0.6911          | 0.5634   |
+| 0.6955        | 17.0  | 51   | 0.6911          | 0.5634   |
+| 0.6939        | 18.0  | 54   | 0.6906          | 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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