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metadata
base_model: yihongLiu/furina
tags:
  - generated_from_trainer
model-index:
  - name: furina_seed42_eng_kin_amh_cross_0.0001
    results: []

furina_seed42_eng_kin_amh_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: 0.0269
  • Spearman Corr: 0.7365

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 0.59 200 0.0342 0.5390
No log 1.17 400 0.0309 0.4762
No log 1.76 600 0.0333 0.6360
0.0424 2.35 800 0.0407 0.6425
0.0424 2.93 1000 0.0304 0.6871
0.0424 3.52 1200 0.0316 0.6953
0.0231 4.11 1400 0.0249 0.7122
0.0231 4.69 1600 0.0405 0.7040
0.0231 5.28 1800 0.0365 0.7094
0.0231 5.87 2000 0.0327 0.7062
0.0155 6.45 2200 0.0258 0.6996
0.0155 7.04 2400 0.0324 0.7080
0.0155 7.62 2600 0.0265 0.7257
0.0095 8.21 2800 0.0297 0.7239
0.0095 8.8 3000 0.0244 0.7276
0.0095 9.38 3200 0.0282 0.7339
0.0095 9.97 3400 0.0290 0.7252
0.0064 10.56 3600 0.0242 0.7284
0.0064 11.14 3800 0.0239 0.7332
0.0064 11.73 4000 0.0248 0.7300
0.0049 12.32 4200 0.0258 0.7320
0.0049 12.9 4400 0.0246 0.7271
0.0049 13.49 4600 0.0269 0.7373
0.0038 14.08 4800 0.0285 0.7336
0.0038 14.66 5000 0.0262 0.7316
0.0038 15.25 5200 0.0279 0.7320
0.0038 15.84 5400 0.0269 0.7365

Framework versions

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