furina_seed42_eng_amh_hau_cross_0.0001 – AI Model by Shijia | AlphaNeural AI

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Shijia/
furina_seed42_eng_amh_hau_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_amh_hau_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: 0.0312
Spearman Corr: 0.7298

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	0.52	200	0.0443	0.1783
No log	1.04	400	0.0333	0.5121
No log	1.55	600	0.0424	0.5339
0.0522	2.07	800	0.0398	0.5674
0.0522	2.59	1000	0.0328	0.6002
0.0522	3.11	1200	0.0313	0.6285
0.0522	3.63	1400	0.0292	0.6480
0.0361	4.15	1600	0.0297	0.6471
0.0361	4.66	1800	0.0298	0.6724
0.0361	5.18	2000	0.0308	0.7280
0.0361	5.7	2200	0.0262	0.7299
0.0258	6.22	2400	0.0255	0.7406
0.0258	6.74	2600	0.0284	0.7288
0.0258	7.25	2800	0.0295	0.7337
0.0258	7.77	3000	0.0300	0.7393
0.0164	8.29	3200	0.0271	0.7451
0.0164	8.81	3400	0.0319	0.7359
0.0164	9.33	3600	0.0261	0.7314
0.0164	9.84	3800	0.0290	0.7265
0.0105	10.36	4000	0.0312	0.7298

Framework versions

Transformers 4.37.2
Pytorch 2.1.0+cu121
Datasets 2.17.0
Tokenizers 0.15.2