connectivity_bert_ft_qqp-25-finetuned-lora-tweet_eval_irony

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: 0.6377

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
0.5204	None	0
0.5487	0.8728	0
0.5581	0.6761	1
0.5675	0.6498	2
0.5927	0.6382	3
0.5916	0.6238	4
0.6126	0.6048	5
0.6241	0.6043	6
0.6377	0.5962	7

Framework versions

• PEFT 0.8.2
• Transformers 4.37.2
• Pytorch 2.2.0
• Datasets 2.16.1
• Tokenizers 0.15.2