TransferGraph / bert-large-uncased-finetuned-lora-tweet_eval_irony

huggingface.co
Total runs: 12
24-hour runs: 0
7-day runs: 2
30-day runs: 6
Model's Last Updated: February 29 2024
text-classification

Introduction of bert-large-uncased-finetuned-lora-tweet_eval_irony

Model Details of bert-large-uncased-finetuned-lora-tweet_eval_irony

bert-large-uncased-finetuned-lora-tweet_eval_irony

This model is a fine-tuned version of bert-large-uncased on the tweet_eval dataset. It achieves the following results on the evaluation set:

  • accuracy: 0.6796
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: 0.0005
  • 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: 8
Training results
accuracy train_loss epoch
0.5246 None 0
0.5623 0.7215 0
0.6126 0.6870 1
0.6241 0.6593 2
0.6461 0.6275 3
0.6628 0.6105 4
0.6660 0.5844 5
0.6796 0.5745 6
0.6796 0.5646 7
Framework versions
  • PEFT 0.8.2
  • Transformers 4.37.2
  • Pytorch 2.2.0
  • Datasets 2.16.1
  • Tokenizers 0.15.2

Runs of TransferGraph bert-large-uncased-finetuned-lora-tweet_eval_irony on huggingface.co

12
Total runs
0
24-hour runs
0
3-day runs
2
7-day runs
6
30-day runs

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