furina_hau_corr_5e-06

This model is a fine-tuned version of yihongLiu/furina on the None dataset. It achieves the following results on the evaluation set:

• Loss: 0.0216
• Spearman Corr: 0.7684

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: 5e-06
• train_batch_size: 32
• eval_batch_size: 128
• seed: 42
• gradient_accumulation_steps: 2
• total_train_batch_size: 64
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 30
• mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Spearman Corr
No log	0.95	200	0.0214	0.7675
No log	1.91	400	0.0218	0.7668
0.0028	2.86	600	0.0223	0.7686
0.0028	3.82	800	0.0231	0.7674
0.0028	4.77	1000	0.0226	0.7669
0.0028	5.73	1200	0.0216	0.7665
0.0026	6.68	1400	0.0223	0.7697
0.0026	7.64	1600	0.0216	0.7655
0.0025	8.59	1800	0.0215	0.7686
0.0025	9.55	2000	0.0216	0.7681
0.0024	10.5	2200	0.0212	0.7672
0.0024	11.46	2400	0.0219	0.7669
0.0024	12.41	2600	0.0220	0.7657
0.0024	13.37	2800	0.0217	0.7654
0.0023	14.32	3000	0.0216	0.7684

Framework versions

• Transformers 4.37.2
• Pytorch 2.2.0+cu121
• Datasets 2.17.0
• Tokenizers 0.15.2