my_first_maskedlm / README.md
Hoang Pham
End of training
900f2e4 verified
metadata
library_name: transformers
license: apache-2.0
base_model: distilbert/distilroberta-base
tags:
  - generated_from_trainer
datasets:
  - eli5_category
model-index:
  - name: my_first_maskedlm
    results: []

my_first_maskedlm

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: 2.0204

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: 16
  • eval_batch_size: 16
  • 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
2.2792 1.0 658 2.0633
2.2093 2.0 1316 2.0483
2.1714 3.0 1974 2.0255

Framework versions

  • Transformers 4.44.2
  • Pytorch 2.4.1+cu121
  • Datasets 3.2.0
  • Tokenizers 0.19.1