feliperogerio
/

bert-hate-speech-test

Text Classification

Generated from Trainer

text-embeddings-inference

Model card Files Files and versions

bert-hate-speech-test

This model is a fine-tuned version of bert-base-uncased on an unknown dataset. It achieves the following results on the evaluation set:

eval_loss: 0.6601
eval_model_preparation_time: 0.0038
eval_accuracy: 0.6754
eval_runtime: 25.4173
eval_samples_per_second: 4.485
eval_steps_per_second: 0.59
step: 0

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: 5e-05
train_batch_size: 8
eval_batch_size: 8
seed: 42
optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
num_epochs: 3

Framework versions

Transformers 4.48.3
Pytorch 2.5.1+cu124
Datasets 3.3.2
Tokenizers 0.21.0

Downloads last month: 2

Safetensors

Model size

0.1B params

Tensor type

F32

·

Model tree for feliperogerio/bert-hate-speech-test

Base model

google-bert/bert-base-uncased

Finetuned

(7016)

this model