README.md

metadata

base_model: yihongLiu/furina
tags:
  - generated_from_trainer
model-index:
  - name: furina_seed42_eng_esp_kin_cross_0.0001
    results: []

furina_seed42_eng_esp_kin_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: 0.0323
• Spearman Corr: 0.6759

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	0.54	200	0.0358	0.5989
No log	1.09	400	0.0285	0.6016
No log	1.63	600	0.0403	-0.0786
0.046	2.18	800	0.0386	nan
0.046	2.72	1000	0.0383	nan
0.046	3.27	1200	0.0392	0.4628
0.046	3.81	1400	0.0601	0.5371
0.0469	4.35	1600	0.0260	0.6378
0.0469	4.9	1800	0.0273	0.6483
0.0469	5.44	2000	0.0278	0.6641
0.0469	5.99	2200	0.0336	0.6578
0.0219	6.53	2400	0.0314	0.6684
0.0219	7.07	2600	0.0335	0.6719
0.0219	7.62	2800	0.0277	0.6742
0.0128	8.16	3000	0.0377	0.6741
0.0128	8.71	3200	0.0323	0.6759

Framework versions

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