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_rte
+  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_rte
+
+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: 0.6924
+- Accuracy: 0.5271
+
+## 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 |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|
+| 0.7023        | 1.0   | 10   | 0.6952          | 0.4729   |
+| 0.7018        | 2.0   | 20   | 0.6921          | 0.5271   |
+| 0.6966        | 3.0   | 30   | 0.6943          | 0.4729   |
+| 0.6977        | 4.0   | 40   | 0.6960          | 0.4729   |
+| 0.6969        | 5.0   | 50   | 0.6919          | 0.5271   |
+| 0.7016        | 6.0   | 60   | 0.6976          | 0.4729   |
+| 0.6981        | 7.0   | 70   | 0.6937          | 0.4729   |
+| 0.6952        | 8.0   | 80   | 0.6928          | 0.4729   |
+| 0.6986        | 9.0   | 90   | 0.6930          | 0.5271   |
+| 0.6978        | 10.0  | 100  | 0.6924          | 0.5271   |
+
+
+### Framework versions
+
+- Transformers 4.51.2
+- Pytorch 2.6.0+cu126
+- Datasets 3.5.0
+- Tokenizers 0.21.1

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