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moshew_bert-mini-sst2-distilled-finetuned-lora-tweet_eval_hate

This model is a fine-tuned version of moshew/bert-mini-sst2-distilled on the tweet_eval dataset. It achieves the following results on the evaluation set:

  • accuracy: 0.671

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
0.449 None 0
0.606 0.6425 0
0.66 0.6006 1
0.664 0.5690 2
0.671 0.5563 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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Adapter for

Dataset used to train TransferGraph/moshew_bert-mini-sst2-distilled-finetuned-lora-tweet_eval_hate

Evaluation results