End of training

README.md

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+---
+license: apache-2.0
+base_model: google/bert_uncased_L-2_H-128_A-2
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+model-index:
+- name: tiny-bert-sst2-distilled
+  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. -->
+
+# tiny-bert-sst2-distilled
+
+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: 1.9648
+- Accuracy: 0.8245
+
+## 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: 0.0002628217875157273
+- train_batch_size: 128
+- eval_batch_size: 128
+- seed: 33
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 3
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Accuracy |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|
+| 2.5717        | 1.0   | 527  | 2.0086          | 0.8073   |
+| 1.2017        | 2.0   | 1054 | 1.8121          | 0.8222   |
+| 0.9081        | 3.0   | 1581 | 1.8837          | 0.8177   |
+| 0.7559        | 4.0   | 2108 | 1.9089          | 0.8234   |
+| 0.6694        | 5.0   | 2635 | 1.9749          | 0.8177   |
+| 0.6147        | 6.0   | 3162 | 1.9445          | 0.8257   |
+| 0.5729        | 7.0   | 3689 | 1.9648          | 0.8245   |
+
+
+### Framework versions
+
+- Transformers 4.37.1
+- Pytorch 2.0.1
+- Datasets 2.16.1
+- Tokenizers 0.15.1

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