metadata

license: apache-2.0
base_model: google/bert_uncased_L-2_H-128_A-2
tags:
  - generated_from_trainer
datasets:
  - hate_speech18
metrics:
  - accuracy
model-index:
  - name: berttiny-hate_speech18-nonpretrained
    results:
      - task:
          name: Text Classification
          type: text-classification
        dataset:
          name: hate_speech18
          type: hate_speech18
          config: default
          split: train
          args: default
        metrics:
          - name: Accuracy
            type: accuracy
            value: 0.8642595978062158

berttiny-hate_speech18-nonpretrained

This model is a fine-tuned version of google/bert_uncased_L-2_H-128_A-2 on the hate_speech18 dataset. It achieves the following results on the evaluation set:

Loss: 0.4631
Accuracy: 0.8643

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: 6e-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: 7

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
0.5429	1.0	60	0.4818	0.8556
0.4701	2.0	120	0.4711	0.8556
0.4623	3.0	180	0.4687	0.8583
0.4571	4.0	240	0.4645	0.8615
0.4532	5.0	300	0.4639	0.8638
0.4501	6.0	360	0.4656	0.8620
0.4494	7.0	420	0.4631	0.8643

Framework versions

Transformers 4.36.0.dev0
Pytorch 2.1.1
Datasets 2.15.0
Tokenizers 0.15.0