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: 2.0270

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: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
num_epochs: 3

Training results

Training Loss	Epoch	Step	Validation Loss
2.2455	1.0	1305	2.0895
2.1786	2.0	2610	2.0401
2.1161	3.0	3915	2.0412

Framework versions

Transformers 4.56.0
Pytorch 2.8.0+cu126
Datasets 3.6.0
Tokenizers 0.22.1

jzkv5/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

jzkv5/
my_awesome_eli5_mlm_model