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BERTweet_retrain_2021_53

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metadata
library_name: transformers
license: mit
base_model: vinai/bertweet-base
tags:
  - generated_from_trainer
model-index:
  - name: BERTweet_retrain_2021_53
    results: []

BERTweet_retrain_2021_53

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

  • Loss: 2.4378

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: 1e-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
  • num_epochs: 3.0

Training results

Training Loss Epoch Step Validation Loss
2.6982 1.0 5800 2.5476
2.563 2.0 11600 2.4648
2.5141 3.0 17400 2.4400

Framework versions

  • Transformers 4.45.1
  • Pytorch 2.1.0+cu121
  • Datasets 3.0.1
  • Tokenizers 0.20.0