furina_ind_loss_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: 0.0202
• Spearman Corr: 0.7740

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	0.0209	0.7711
No log	1.69	400	0.0213	0.7712
0.0009	2.54	600	0.0219	0.7735
0.0009	3.38	800	0.0209	0.7734
0.0006	4.23	1000	0.0207	0.7711
0.0006	5.07	1200	0.0209	0.7714
0.0006	5.92	1400	0.0215	0.7696
0.0005	6.77	1600	0.0215	0.7714
0.0005	7.61	1800	0.0209	0.7724
0.0005	8.46	2000	0.0204	0.7735
0.0005	9.3	2200	0.0207	0.7746
0.0007	10.15	2400	0.0202	0.7756
0.0007	10.99	2600	0.0209	0.7742
0.0007	11.84	2800	0.0205	0.7750
0.0007	12.68	3000	0.0203	0.7743
0.0007	13.53	3200	0.0207	0.7730
0.0007	14.38	3400	0.0209	0.7736
0.0007	15.22	3600	0.0205	0.7751
0.0006	16.07	3800	0.0206	0.7735
0.0006	16.91	4000	0.0202	0.7740

Framework versions

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