Training in progress, epoch 1

README.md

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+---
+base_model: jysh1023/tiny-bert-sst2-distilled_qat_test
+tags:
+- generated_from_trainer
+datasets:
+- glue
+model-index:
+- name: tiny-bert-sst2-distilled_qat_test
+  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_qat_test
+
+This model is a fine-tuned version of [jysh1023/tiny-bert-sst2-distilled_qat_test](https://huggingface.co/jysh1023/tiny-bert-sst2-distilled_qat_test) on the glue dataset.
+It achieves the following results on the evaluation set:
+- eval_loss: 1.1017
+- eval_accuracy: 0.7775
+- eval_runtime: 0.1618
+- eval_samples_per_second: 5390.016
+- eval_steps_per_second: 43.268
+- epoch: 1.0
+- step: 527
+
+## 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: 4.3501969464061515e-05
+- 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: 5
+- mixed_precision_training: Native AMP
+
+### Framework versions
+
+- Transformers 4.35.2
+- Pytorch 2.1.0+cu118
+- Datasets 2.15.0
+- Tokenizers 0.15.0

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