Training in progress, epoch 1

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
+datasets:
+- hate_speech18
+model-index:
+- name: bert-tiny-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. -->
+
+# bert-tiny-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 the hate_speech18 dataset.
+It achieves the following results on the evaluation set:
+- eval_loss: 0.4745
+- eval_accuracy: 0.8556
+- eval_runtime: 20.4101
+- eval_samples_per_second: 107.202
+- eval_steps_per_second: 0.882
+- epoch: 1.0
+- step: 479
+
+## 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: 7.474176155523857e-05
+- train_batch_size: 16
+- eval_batch_size: 128
+- seed: 23
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 4
+
+### Framework versions
+
+- Transformers 4.36.0.dev0
+- Pytorch 2.1.1
+- Datasets 2.15.0
+- Tokenizers 0.15.0

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