Jeevesh8_init_bert_ft_qqp-33-finetuned-lora-tweet_eval_irony

This model is a fine-tuned version of Jeevesh8/init_bert_ft_qqp-33 on the tweet_eval dataset. It achieves the following results on the evaluation set:

• accuracy: 0.5864

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
0.5152	None	0
0.5089	0.7841	0
0.5466	0.6891	1
0.5581	0.6748	2
0.5717	0.6597	3
0.5759	0.6491	4
0.5822	0.6409	5
0.5853	0.6303	6
0.5864	0.6274	7

Framework versions

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