README.md

metadata

base_model: yihongLiu/furina
tags:
  - generated_from_trainer
model-index:
  - name: furina_pan_corr_2e-05
    results: []

furina_pan_corr_2e-05

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

• Loss: 0.0209
• Spearman Corr: 0.7712

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: 2e-05
• 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	0.85	200	0.0206	0.7703
No log	1.69	400	0.0207	0.7688
0.0004	2.54	600	0.0213	0.7701
0.0004	3.38	800	0.0208	0.7727
0.0003	4.23	1000	0.0209	0.7688
0.0003	5.07	1200	0.0208	0.7703
0.0003	5.92	1400	0.0212	0.7687
0.0002	6.77	1600	0.0216	0.7695
0.0002	7.61	1800	0.0209	0.7695
0.0002	8.46	2000	0.0202	0.7730
0.0002	9.3	2200	0.0203	0.7748
0.0003	10.15	2400	0.0203	0.7729
0.0003	10.99	2600	0.0212	0.7710
0.0003	11.84	2800	0.0208	0.7720
0.0004	12.68	3000	0.0204	0.7737
0.0004	13.53	3200	0.0208	0.7706
0.0004	14.38	3400	0.0207	0.7726
0.0004	15.22	3600	0.0208	0.7719
0.0004	16.07	3800	0.0209	0.7712

Framework versions

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