README.md

metadata

base_model: yihongLiu/furina
tags:
  - generated_from_trainer
model-index:
  - name: furina_latin_amh-esp-eng_train_spearman_corr
    results: []

furina_latin_amh-esp-eng_train_spearman_corr

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

• Loss: 0.0189
• Spearman Corr: 0.7428

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: 2e-05
• 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	0.53	200	0.0170	0.6821
No log	1.06	400	0.0189	0.7085
No log	1.59	600	0.0171	0.7217
0.0448	2.12	800	0.0218	0.7303
0.0448	2.65	1000	0.0172	0.7281
0.0448	3.17	1200	0.0182	0.7356
0.0448	3.7	1400	0.0164	0.7388
0.0206	4.23	1600	0.0179	0.7414
0.0206	4.76	1800	0.0188	0.7419
0.0206	5.29	2000	0.0175	0.7453
0.0206	5.82	2200	0.0187	0.7493
0.0155	6.35	2400	0.0203	0.7403
0.0155	6.88	2600	0.0180	0.7443
0.0155	7.41	2800	0.0189	0.7415
0.0155	7.94	3000	0.0178	0.7476
0.0116	8.47	3200	0.0189	0.7396
0.0116	8.99	3400	0.0203	0.7367
0.0116	9.52	3600	0.0195	0.7434
0.0089	10.05	3800	0.0189	0.7428

Framework versions

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