This model is a fine-tuned version of distilbert/distilbert-base-cased on the Twitter (X) dataset. It achieves the following results on the evaluation set:

Loss: 0.4430
Accuracy: 0.9013

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: 8
eval_batch_size: 8
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 3

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
No log	1.0	233	0.3722	0.8884
No log	2.0	466	0.4117	0.8927
0.2631	3.0	699	0.4430	0.9013

Framework versions

Transformers 4.35.0
Pytorch 2.1.0+cu118
Datasets 2.14.6
Tokenizers 0.14.1

rollerhafeezh-amikom/distil_cased-fire-classification-silvanus

distil_cased-fire-classification-silvanus

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

rollerhafeezh-amikom/
distil_cased-fire-classification-silvanus