metadata

license: apache-2.0
base_model: distilbert-base-uncased
tags:
  - generated_from_trainer
  - sentiment analysis
  - cyberbullying detection
  - PyTorch
  - Trainer
  - DistilBERT
model-index:
  - name: Training_Checkpoint
    results: []
language:
  - en
metrics:
  - f1
  - accuracy
library_name: transformers
pipeline_tag: text-classification

Training_Checkpoint

This model is a fine-tuned version of distilbert-base-uncased on the None dataset. It achieves the following results on the evaluation set:

eval_loss: 0.0006
eval_accuracy: 1.0
eval_f1: 1.0
eval_runtime: 1.7344
eval_samples_per_second: 576.552
eval_steps_per_second: 36.323
epoch: 10.0
step: 630

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: 2e-05
train_batch_size: 16
eval_batch_size: 16
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 50

Framework versions

Transformers 4.42.4
Pytorch 2.3.1+cu121
Datasets 2.20.0
Tokenizers 0.19.1