elvis_roberta / README.md
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Librarian Bot: Add base_model information to model (#1)
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metadata
license: mit
tags:
  - generated_from_trainer
base_model: roberta-base
model-index:
  - name: elvis_roberta
    results: []

elvis_roberta

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

  • eval_loss: 0.6282
  • eval_rmse: 0.5675
  • eval_runtime: 66.4121
  • eval_samples_per_second: 30.115
  • eval_steps_per_second: 7.529
  • step: 0

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: 4
  • eval_batch_size: 4
  • seed: 42
  • gradient_accumulation_steps: 16
  • total_train_batch_size: 64
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • lr_scheduler_warmup_steps: 500
  • num_epochs: 10

Framework versions

  • Transformers 4.30.2
  • Pytorch 2.0.1+cu118
  • Datasets 2.13.1
  • Tokenizers 0.13.3