furina_hau_corr_5e-06 – AI Model by Shijia | AlphaNeural AI

You can deploy this model and start earning money today!

Shijia/
furina_hau_corr_5e-06

like

0

text-classification

generated_from_trainer

yihongLiu/furina

autotrain_compatible

endpoints_compatible

Views

No views yet

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