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
+- f1
+model-index:
+- name: tinybert_base_train_book_ent_15p_s_init_mrpc
+  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_mrpc
+
+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: 0.7486
+- Accuracy: 0.6789
+- F1: 0.7835
+- Combined Score: 0.7312
+
+## 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 | F1     | Combined Score |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|:--------------:|
+| 0.626         | 1.0   | 15   | 0.5948          | 0.6936   | 0.8025 | 0.7481         |
+| 0.5902        | 2.0   | 30   | 0.5788          | 0.7010   | 0.8039 | 0.7524         |
+| 0.5641        | 3.0   | 45   | 0.6338          | 0.6961   | 0.8149 | 0.7555         |
+| 0.5567        | 4.0   | 60   | 0.5953          | 0.6912   | 0.7886 | 0.7399         |
+| 0.5118        | 5.0   | 75   | 0.6027          | 0.6912   | 0.7928 | 0.7420         |
+| 0.4615        | 6.0   | 90   | 0.6786          | 0.6814   | 0.7774 | 0.7294         |
+| 0.4065        | 7.0   | 105  | 0.7486          | 0.6789   | 0.7835 | 0.7312         |
+
+
+### Framework versions
+
+- Transformers 4.51.2
+- Pytorch 2.6.0+cu126
+- Datasets 3.5.0
+- Tokenizers 0.21.1

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