Alassea_glue_sst_classifier-finetuned-lora-tweet_eval_irony

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

• accuracy: 0.6649

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
0.5497	None	0
0.6147	0.7077	0
0.6408	0.6572	1
0.6482	0.6266	2
0.6492	0.6056	3
0.6482	0.5837	4
0.6586	0.5657	5
0.6681	0.5516	6
0.6649	0.5471	7

Framework versions

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