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metadata
license: mit
tags:
  - generated_from_trainer
datasets:
  - generator
model-index:
  - name: roberta-base_ms-marco_mod
    results: []

roberta-base_ms-marco_mod

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

  • Loss: 3.5359

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: 3e-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: 2

Training results

Training Loss Epoch Step Validation Loss
3.5498 1.0 18861 3.5603
3.4253 2.0 37722 3.5359

Framework versions

  • Transformers 4.27.4
  • Pytorch 2.0.0+cu118
  • Datasets 2.11.0
  • Tokenizers 0.13.3