Model save

README.md

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+---
+library_name: transformers
+license: apache-2.0
+base_model: gokulsrinivasagan/bert_base_train_book_ent_15p_s_init
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+model-index:
+- name: bert_base_train_book_ent_15p_s_init_sst2
+  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_train_book_ent_15p_s_init_sst2
+
+This model is a fine-tuned version of [gokulsrinivasagan/bert_base_train_book_ent_15p_s_init](https://huggingface.co/gokulsrinivasagan/bert_base_train_book_ent_15p_s_init) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.7039
+- Accuracy: 0.5092
+
+## 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 |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|
+| 0.6916        | 1.0   | 264  | 0.6944          | 0.4908   |
+| 0.6901        | 2.0   | 528  | 0.7227          | 0.5092   |
+| 0.6894        | 3.0   | 792  | 0.7004          | 0.5092   |
+| 0.6897        | 4.0   | 1056 | 0.6943          | 0.5092   |
+| 0.6891        | 5.0   | 1320 | 0.6941          | 0.5092   |
+| 0.6892        | 6.0   | 1584 | 0.6938          | 0.5092   |
+| 0.6886        | 7.0   | 1848 | 0.7039          | 0.5092   |
+| 0.6882        | 8.0   | 2112 | 0.7006          | 0.5092   |
+| 0.6891        | 9.0   | 2376 | 0.6944          | 0.5092   |
+| 0.6884        | 10.0  | 2640 | 0.7145          | 0.5092   |
+| 0.6884        | 11.0  | 2904 | 0.7039          | 0.5092   |
+
+
+### Framework versions
+
+- Transformers 4.51.2
+- Pytorch 2.6.0+cu126
+- Datasets 3.5.0
+- Tokenizers 0.21.1

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