furina_arq_loss_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: 0.0482
• Spearman Corr: nan

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	0.92	200	0.0470	nan
No log	1.84	400	0.0473	nan
0.0502	2.76	600	0.0490	nan
0.0502	3.69	800	0.0480	nan
0.0498	4.61	1000	0.0484	nan
0.0498	5.53	1200	0.0478	nan
0.05	6.45	1400	0.0473	nan
0.05	7.37	1600	0.0491	nan
0.0501	8.29	1800	0.0482	nan

Framework versions

• Transformers 4.37.2
• Pytorch 2.2.0+cu121
• Datasets 2.17.0
• Tokenizers 0.15.2