SetFit_distilbert-base-uncased__sst2__train-32-9-finetuned-lora-tweet_eval_irony

This model is a fine-tuned version of SetFit/distilbert-base-uncased__sst2__train-32-9 on the tweet_eval dataset. It achieves the following results on the evaluation set:

• accuracy: 0.6785

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
0.5288	None	0
0.6251	0.6671	0
0.6366	0.6234	1
0.6785	0.5832	2
0.6796	0.5531	3
0.6848	0.5324	4
0.6524	0.5135	5
0.6817	0.4852	6
0.6785	0.4765	7

Framework versions

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