End of training

README.md

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+---
+library_name: transformers
+license: apache-2.0
+base_model: google/bert_uncased_L-2_H-128_A-2
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+model-index:
+- name: bert_distillation
+  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_distillation
+
+This model is a fine-tuned version of [google/bert_uncased_L-2_H-128_A-2](https://huggingface.co/google/bert_uncased_L-2_H-128_A-2) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 1.0805
+- Model Preparation Time: 0.0009
+- Accuracy: 0.8360
+
+## 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: 0.0001
+- train_batch_size: 128
+- eval_batch_size: 128
+- seed: 2023
+- optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
+- lr_scheduler_type: linear
+- num_epochs: 7
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Model Preparation Time | Accuracy |
+|:-------------:|:-----:|:----:|:---------------:|:----------------------:|:--------:|
+| 1.2724        | 1.0   | 527  | 1.0482          | 0.0009                 | 0.8108   |
+| 0.6783        | 2.0   | 1054 | 1.0651          | 0.0009                 | 0.8280   |
+| 0.5164        | 3.0   | 1581 | 1.0805          | 0.0009                 | 0.8360   |
+| 0.4397        | 4.0   | 2108 | 1.1196          | 0.0009                 | 0.8280   |
+| 0.3887        | 5.0   | 2635 | 1.1339          | 0.0009                 | 0.8314   |
+| 0.3558        | 6.0   | 3162 | 1.1385          | 0.0009                 | 0.8326   |
+| 0.3397        | 7.0   | 3689 | 1.1512          | 0.0009                 | 0.8268   |
+
+
+### Framework versions
+
+- Transformers 4.57.6
+- Pytorch 2.9.0+cu126
+- Datasets 4.0.0
+- Tokenizers 0.22.2

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