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

Loss: 0.9117
Accuracy: 0.7124

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: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
training_steps: 30000

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
1.0424	0.03	5000	1.0730	0.6706
1.0143	0.06	10000	1.0225	0.6793
0.9683	0.09	15000	0.9732	0.6950
0.8925	0.11	20000	0.9442	0.7038
0.9407	0.14	25000	0.9212	0.7090
0.9463	0.17	30000	0.9117	0.7124

Framework versions

Transformers 4.37.0.dev0
Pytorch 2.1.0+cu121
Datasets 2.15.0
Tokenizers 0.15.0

Prezily/distilbert-yahoo

distilbert-yahoo

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

Prezily/
distilbert-yahoo