Model save

README.md

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+---
+library_name: transformers
+license: apache-2.0
+base_model: gokulsrinivasagan/tinybert_base_train_book_ent_15p_s_init
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+model-index:
+- name: tinybert_base_train_book_ent_15p_s_init_mnli
+  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. -->
+
+# tinybert_base_train_book_ent_15p_s_init_mnli
+
+This model is a fine-tuned version of [gokulsrinivasagan/tinybert_base_train_book_ent_15p_s_init](https://huggingface.co/gokulsrinivasagan/tinybert_base_train_book_ent_15p_s_init) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.8376
+- Accuracy: 0.7220
+
+## 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 |
+|:-------------:|:-----:|:-----:|:---------------:|:--------:|
+| 0.8785        | 1.0   | 1534  | 0.7729          | 0.6660   |
+| 0.7353        | 2.0   | 3068  | 0.7123          | 0.6915   |
+| 0.6658        | 3.0   | 4602  | 0.6983          | 0.7073   |
+| 0.6113        | 4.0   | 6136  | 0.7001          | 0.7169   |
+| 0.5654        | 5.0   | 7670  | 0.6811          | 0.7245   |
+| 0.5207        | 6.0   | 9204  | 0.7057          | 0.7257   |
+| 0.4798        | 7.0   | 10738 | 0.7188          | 0.7291   |
+| 0.4403        | 8.0   | 12272 | 0.7684          | 0.7231   |
+| 0.4036        | 9.0   | 13806 | 0.8034          | 0.7165   |
+| 0.3685        | 10.0  | 15340 | 0.8376          | 0.7220   |
+
+
+### Framework versions
+
+- Transformers 4.51.2
+- Pytorch 2.6.0+cu126
+- Datasets 3.5.0
+- Tokenizers 0.21.1

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