metadata

library_name: transformers
license: apache-2.0
base_model: distilroberta-base
tags:
  - generated_from_trainer
datasets:
  - eli5_category
model-index:
  - name: my_awesome_eli5_mlm_model
    results: []

my_awesome_eli5_mlm_model

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

Loss: 1.9992

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 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
2.2552	1.0	1299	2.0395
2.1823	2.0	2598	2.0380
2.1545	3.0	3897	2.0091

Framework versions

Transformers 4.52.3
Pytorch 2.6.0+cu124
Datasets 3.6.0
Tokenizers 0.21.1