SeungHeeKim/SimCSE_RoBERTa_Bi_new

enc_bi_encoder__lr_1e-5__wd_0.1__trans_False__obj_mse__tri_None__s_42

This model is a fine-tuned version of princeton-nlp/sup-simcse-roberta-large on an unknown dataset. It achieves the following results on the evaluation set:

• Loss: 0.0951
• Mse: 0.0951
• Pearsonr: 0.4802
• Spearmanr: 0.4799

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: 1e-05
• train_batch_size: 8
• eval_batch_size: 8
• seed: 42
• gradient_accumulation_steps: 4
• total_train_batch_size: 32
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• lr_scheduler_warmup_ratio: 0.1
• num_epochs: 3.0
• mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Mse	Pearsonr	Spearmanr
No log	1.0	354	0.0973	0.0973	0.4643	0.4659
0.0949	2.0	709	0.0964	0.0964	0.4691	0.4692
0.0785	3.0	1062	0.0951	0.0951	0.4802	0.4799

Framework versions

• Transformers 4.37.2
• Pytorch 2.0.1
• Datasets 2.18.0
• Tokenizers 0.15.1