Model save

README.md

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+---
+library_name: transformers
+license: apache-2.0
+base_model: gokulsrinivasagan/tinybert_base_train_kd
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+model-index:
+- name: tinybert_base_train_kd_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. -->
+
+# tinybert_base_train_kd_rte
+
+This model is a fine-tuned version of [gokulsrinivasagan/tinybert_base_train_kd](https://huggingface.co/gokulsrinivasagan/tinybert_base_train_kd) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.9831
+- Accuracy: 0.6209
+
+## 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 |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|
+| 0.705         | 1.0   | 10   | 0.6918          | 0.5271   |
+| 0.695         | 2.0   | 20   | 0.7236          | 0.4801   |
+| 0.6831        | 3.0   | 30   | 0.6791          | 0.5848   |
+| 0.6248        | 4.0   | 40   | 0.6916          | 0.5884   |
+| 0.5451        | 5.0   | 50   | 0.7247          | 0.6245   |
+| 0.4932        | 6.0   | 60   | 0.7858          | 0.5884   |
+| 0.3597        | 7.0   | 70   | 0.9330          | 0.6029   |
+| 0.268         | 8.0   | 80   | 0.9831          | 0.6209   |
+
+
+### Framework versions
+
+- Transformers 4.51.2
+- Pytorch 2.6.0+cu126
+- Datasets 3.5.0
+- Tokenizers 0.21.1

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