furina_seed42_eng_esp_hau_basic_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: 0.7194

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	1.45	200	0.0282	0.6099
0.0652	2.91	400	0.0303	0.6702
0.0263	4.36	600	0.0301	0.7175
0.0263	5.82	800	0.0333	0.7147
0.0178	7.27	1000	0.0346	0.7279
0.0123	8.73	1200	0.0274	0.7307
0.0089	10.18	1400	0.0290	0.7331
0.0089	11.64	1600	0.0302	0.7243
0.0064	13.09	1800	0.0292	0.7243
0.0052	14.55	2000	0.0297	0.7253
0.0044	16.0	2200	0.0335	0.7158
0.0044	17.45	2400	0.0313	0.7319
0.0038	18.91	2600	0.0289	0.7169
0.0032	20.36	2800	0.0312	0.7194

Framework versions

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