crcb_isear_bert-finetuned-lora-tweet_eval_irony

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

• accuracy: 0.6953

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
0.4419	None	0
0.6042	0.7050	0
0.6545	0.6265	1
0.6827	0.5902	2
0.6743	0.5527	3
0.6984	0.5288	4
0.6901	0.5085	5
0.6984	0.5022	6
0.6953	0.4875	7

Framework versions

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