roberta-base-finetuned-lora-tweet_eval_irony

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

• accuracy: 0.7330

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
0.4775	None	0
0.5969	0.6883	0
0.6932	0.6138	1
0.6942	0.5623	2
0.7277	0.5362	3
0.7277	0.5078	4
0.7267	0.4934	5
0.7298	0.4820	6
0.7330	0.4758	7

Framework versions

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