furina_ary_corr_5e-06 – AI Model by Shijia | AlphaNeural AI

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Shijia/
furina_ary_corr_5e-06

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text-classification

generated_from_trainer

yihongLiu/furina

autotrain_compatible

endpoints_compatible

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furina_ary_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: 0.0225
Spearman Corr: 0.7622

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	0.9	200	0.0220	0.7626
No log	1.8	400	0.0227	0.7608
0.0062	2.7	600	0.0223	0.7582
0.0062	3.6	800	0.0227	0.7608
0.0058	4.5	1000	0.0213	0.7624
0.0058	5.41	1200	0.0222	0.7624
0.0055	6.31	1400	0.0214	0.7648
0.0055	7.21	1600	0.0217	0.7653
0.0052	8.11	1800	0.0215	0.7607
0.0052	9.01	2000	0.0220	0.7598
0.0052	9.91	2200	0.0217	0.7603
0.0049	10.81	2400	0.0221	0.7614
0.0049	11.71	2600	0.0226	0.7573
0.0047	12.61	2800	0.0224	0.7635
0.0047	13.51	3000	0.0221	0.7624
0.0045	14.41	3200	0.0225	0.7622

Framework versions

Transformers 4.37.2
Pytorch 2.2.0+cu121
Datasets 2.17.0
Tokenizers 0.15.2