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connectivity_bert_ft_qqp-25-finetuned-lora-tweet_eval_emotion

This model is a fine-tuned version of connectivity/bert_ft_qqp-25 on the tweet_eval dataset. It achieves the following results on the evaluation set:

  • accuracy: 0.6551

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: 0.0004
  • train_batch_size: 32
  • eval_batch_size: 32
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • num_epochs: 4

Training results

accuracy train_loss epoch
0.4118 None 0
0.4599 1.2572 0
0.6043 1.0925 1
0.6524 0.9469 2
0.6551 0.8938 3

Framework versions

  • PEFT 0.8.2
  • Transformers 4.37.2
  • Pytorch 2.2.0
  • Datasets 2.16.1
  • Tokenizers 0.15.2
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Dataset used to train TransferGraph/connectivity_bert_ft_qqp-25-finetuned-lora-tweet_eval_emotion

Evaluation results