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: 2.0410

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
No log	1.0	282	2.1147
2.3066	2.0	564	2.1163
2.3066	3.0	846	2.0410

Framework versions

Transformers 4.45.0.dev0
Pytorch 2.1.0.post3+cxx11.abi
Datasets 2.20.0
Tokenizers 0.19.1

faaany/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

faaany/
my_awesome_eli5_mlm_model