twisent_sieBert / README.md
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metadata
tags:
  - generated_from_trainer
model-index:
  - name: twisent_sieBert
    results: []

twisent_sieBert

This model is a fine-tuned version of siebert/sentiment-roberta-large-english on an unknown dataset.

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: 64
  • eval_batch_size: 128
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • lr_scheduler_warmup_steps: 500
  • num_epochs: 3

Training results

Framework versions

  • Transformers 4.19.4
  • Pytorch 1.9.0+cu111
  • Datasets 2.3.2
  • Tokenizers 0.12.1