transformers tensorboard safetensors bert text-classification generated_from_trainer dataset:hate_speech18 base_model:google/bert_uncased_L-2_H-128_A-2 license:apache-2.0 autotrain_compatible endpoints_compatible region:us
---
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: []
---

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# 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
