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metadata
tags:
  - generated_from_trainer
model-index:
  - name: bertweet-base-SNS_BRANDS_50k
    results: []

bertweet-base-SNS_BRANDS_50k

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

  • Loss: 0.0490

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: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • lr_scheduler_warmup_steps: 500
  • num_epochs: 4

Training results

Training Loss Epoch Step Validation Loss
0.0787 1.0 1465 0.0751
0.0662 2.0 2930 0.0628
0.053 3.0 4395 0.0531
0.0452 4.0 5860 0.0490

Framework versions

  • Transformers 4.15.0
  • Pytorch 1.10.0+cu111
  • Datasets 1.18.0
  • Tokenizers 0.10.3