This model is a fine-tuned version of distilbert/distilroberta-base on the eli5_category dataset. It achieves the following results on the evaluation set:

Loss: 2.0269

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
2.2636	1.0	1330	2.0680
2.1687	2.0	2660	2.0165
2.1391	3.0	3990	2.0110

Framework versions

Transformers 4.45.2
Pytorch 2.4.1+cu121
Datasets 3.0.1
Tokenizers 0.20.1

wenbinggg/my_awesome_eli5_mlm_model

my_awesome_eli5_mlm_model

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

wenbinggg/
my_awesome_eli5_mlm_model