furina_seed42_eng_kin_amh_cross_0.0001 – AI Model by Shijia | AlphaNeural AI

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Shijia/
furina_seed42_eng_kin_amh_cross_0.0001

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text-classification

generated_from_trainer

yihongLiu/furina

autotrain_compatible

endpoints_compatible

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furina_seed42_eng_kin_amh_cross_0.0001

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

Loss: 0.0269
Spearman Corr: 0.7365

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: 0.0001
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	0.59	200	0.0342	0.5390
No log	1.17	400	0.0309	0.4762
No log	1.76	600	0.0333	0.6360
0.0424	2.35	800	0.0407	0.6425
0.0424	2.93	1000	0.0304	0.6871
0.0424	3.52	1200	0.0316	0.6953
0.0231	4.11	1400	0.0249	0.7122
0.0231	4.69	1600	0.0405	0.7040
0.0231	5.28	1800	0.0365	0.7094
0.0231	5.87	2000	0.0327	0.7062
0.0155	6.45	2200	0.0258	0.6996
0.0155	7.04	2400	0.0324	0.7080
0.0155	7.62	2600	0.0265	0.7257
0.0095	8.21	2800	0.0297	0.7239
0.0095	8.8	3000	0.0244	0.7276
0.0095	9.38	3200	0.0282	0.7339
0.0095	9.97	3400	0.0290	0.7252
0.0064	10.56	3600	0.0242	0.7284
0.0064	11.14	3800	0.0239	0.7332
0.0064	11.73	4000	0.0248	0.7300
0.0049	12.32	4200	0.0258	0.7320
0.0049	12.9	4400	0.0246	0.7271
0.0049	13.49	4600	0.0269	0.7373
0.0038	14.08	4800	0.0285	0.7336
0.0038	14.66	5000	0.0262	0.7316
0.0038	15.25	5200	0.0279	0.7320
0.0038	15.84	5400	0.0269	0.7365

Framework versions

Transformers 4.37.2
Pytorch 2.1.0+cu121
Datasets 2.17.0
Tokenizers 0.15.2