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dimitar_eli5_mlm_model

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metadata
library_name: transformers
license: apache-2.0
base_model: distilbert/distilroberta-base
tags:
  - generated_from_trainer
model-index:
  - name: dimitar_eli5_mlm_model
    results: []

dimitar_eli5_mlm_model

This model is a fine-tuned version of distilbert/distilroberta-base on the None dataset. It achieves the following results on the evaluation set:

  • Loss: 2.0248

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
2.2355 1.0 1307 2.0834
2.1602 2.0 2614 2.0315
2.1224 3.0 3921 2.0275

Framework versions

  • Transformers 4.55.0
  • Pytorch 2.6.0+cu124
  • Datasets 2.16.0
  • Tokenizers 0.21.4