furina_seed42_eng_kin_amh_cross_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: 0.0235
• Spearman Corr: 0.7429

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	0.59	200	0.0574	0.0907
No log	1.17	400	0.0433	0.3618
No log	1.76	600	0.0302	0.5602
0.0806	2.35	800	0.0310	0.6452
0.0806	2.93	1000	0.0311	0.6667
0.0806	3.52	1200	0.0341	0.6832
0.0313	4.11	1400	0.0263	0.6957
0.0313	4.69	1600	0.0366	0.7020
0.0313	5.28	1800	0.0311	0.7107
0.0313	5.87	2000	0.0340	0.7112
0.0257	6.45	2200	0.0251	0.7188
0.0257	7.04	2400	0.0229	0.7220
0.0257	7.62	2600	0.0243	0.7361
0.0226	8.21	2800	0.0217	0.7414
0.0226	8.8	3000	0.0231	0.7376
0.0226	9.38	3200	0.0233	0.7431
0.0226	9.97	3400	0.0257	0.7369
0.0199	10.56	3600	0.0241	0.7474
0.0199	11.14	3800	0.0253	0.7411
0.0199	11.73	4000	0.0257	0.7478
0.0178	12.32	4200	0.0267	0.7471
0.0178	12.9	4400	0.0235	0.7429

Framework versions

• Transformers 4.37.2
• Pytorch 2.1.0+cu121
• Datasets 2.17.0
• Tokenizers 0.15.2