Model save

README.md

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+---
+library_name: transformers
+license: apache-2.0
+base_model: gokulsrinivasagan/tinybert_train_book_v2
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+- f1
+model-index:
+- name: tinybert_train_book_v2_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_train_book_v2_mrpc
+
+This model is a fine-tuned version of [gokulsrinivasagan/tinybert_train_book_v2](https://huggingface.co/gokulsrinivasagan/tinybert_train_book_v2) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.7911
+- Accuracy: 0.7647
+- F1: 0.8442
+- Combined Score: 0.8044
+
+## 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 |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|:--------------:|
+| 0.6258        | 1.0   | 15   | 0.6008          | 0.6936   | 0.8092 | 0.7514         |
+| 0.5875        | 2.0   | 30   | 0.5684          | 0.7157   | 0.8159 | 0.7658         |
+| 0.5354        | 3.0   | 45   | 0.5565          | 0.7255   | 0.8199 | 0.7727         |
+| 0.463         | 4.0   | 60   | 0.5646          | 0.7059   | 0.7770 | 0.7414         |
+| 0.3584        | 5.0   | 75   | 0.5854          | 0.7721   | 0.8463 | 0.8092         |
+| 0.2647        | 6.0   | 90   | 0.6195          | 0.7647   | 0.8378 | 0.8013         |
+| 0.1931        | 7.0   | 105  | 0.7031          | 0.7647   | 0.8356 | 0.8002         |
+| 0.1698        | 8.0   | 120  | 0.7911          | 0.7647   | 0.8442 | 0.8044         |
+
+
+### Framework versions
+
+- Transformers 4.46.3
+- Pytorch 2.2.1+cu118
+- Datasets 2.17.0
+- Tokenizers 0.20.3

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