metadata

license: apache-2.0
base_model: distilbert-base-cased
tags:
  - generated_from_trainer
model-index:
  - name: distilbert-cased-topic-title-classification
    results: []

distilbert-cased-topic-title-classification

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

Loss: 0.3246

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: 3

Training results

Training Loss	Epoch	Step	Validation Loss
0.3204	1.0	8354	0.3232
0.2927	2.0	16708	0.3034
0.2492	3.0	25062	0.3246

Framework versions

Transformers 4.34.0
Pytorch 2.0.1+cu118
Datasets 2.14.5
Tokenizers 0.14.1