Anthos23_FS-distilroberta-fine-tuned-finetuned-lora-tweet_eval_irony

This model is a fine-tuned version of Anthos23/FS-distilroberta-fine-tuned on the tweet_eval dataset. It achieves the following results on the evaluation set:

• accuracy: 0.7037

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
0.4995	None	0
0.6283	0.7070	0
0.5874	0.6448	1
0.6618	0.6031	2
0.7068	0.5548	3
0.7120	0.5368	4
0.6733	0.5065	5
0.7005	0.4997	6
0.7037	0.4886	7

Framework versions

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