Edit model card

furina_latin_original_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: 0.0272
  • Spearman Corr: 0.7575

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 1.59 200 0.0206 0.6547
0.0681 3.17 400 0.0237 0.7560
0.0224 4.76 600 0.0168 0.7473
0.0172 6.35 800 0.0199 0.7406
0.0172 7.94 1000 0.0211 0.7572
0.0138 9.52 1200 0.0223 0.7572
0.0115 11.11 1400 0.0240 0.7514
0.0094 12.7 1600 0.0229 0.7535
0.008 14.29 1800 0.0284 0.7531
0.008 15.87 2000 0.0220 0.7526
0.0072 17.46 2200 0.0286 0.7588
0.0065 19.05 2400 0.0284 0.7528
0.0058 20.63 2600 0.0230 0.7549
0.0054 22.22 2800 0.0230 0.7565
0.0054 23.81 3000 0.0244 0.7509
0.0052 25.4 3200 0.0255 0.7557
0.0048 26.98 3400 0.0264 0.7572
0.0046 28.57 3600 0.0272 0.7575

Framework versions

  • Transformers 4.37.2
  • Pytorch 2.2.0+cu121
  • Datasets 2.17.0
  • Tokenizers 0.15.2
Downloads last month
5
Safetensors
Model size
394M params
Tensor type
F32
·
Inference Examples
This model does not have enough activity to be deployed to Inference API (serverless) yet. Increase its social visibility and check back later, or deploy to Inference Endpoints (dedicated) instead.

Model tree for shanhy/furina_latin_original_amh-esp-eng_train_spearman_corr

Base model

yihongLiu/furina
Finetuned
(151)
this model