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: 1.9766

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
2.17	1.0	5558	2.0378
2.1192	2.0	11116	1.9942
2.1043	3.0	16674	1.9766

Framework versions

Transformers 4.40.1
Pytorch 2.2.1+cu121
Datasets 2.19.0
Tokenizers 0.19.1

madanagrawal/masked_language_modeling

my_awesome_eli5_mlm_model

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

madanagrawal/
masked_language_modeling