metadata
base_model: yihongLiu/furina
tags:
- generated_from_trainer
model-index:
- name: furina_seed42_eng_esp_kin_basic
results: []
furina_seed42_eng_esp_kin_basic
This model is a fine-tuned version of yihongLiu/furina on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.0183
- Spearman Corr: 0.7765
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 | 1.81 | 200 | 0.0242 | 0.6836 |
| 0.0889 | 3.62 | 400 | 0.0204 | 0.7530 |
| 0.025 | 5.43 | 600 | 0.0197 | 0.7779 |
| 0.019 | 7.24 | 800 | 0.0179 | 0.7805 |
| 0.0153 | 9.05 | 1000 | 0.0177 | 0.7877 |
| 0.0121 | 10.86 | 1200 | 0.0170 | 0.7842 |
| 0.0102 | 12.67 | 1400 | 0.0175 | 0.7797 |
| 0.0087 | 14.48 | 1600 | 0.0177 | 0.7753 |
| 0.0077 | 16.29 | 1800 | 0.0172 | 0.7800 |
| 0.007 | 18.1 | 2000 | 0.0175 | 0.7792 |
| 0.0063 | 19.91 | 2200 | 0.0176 | 0.7791 |
| 0.0063 | 21.72 | 2400 | 0.0175 | 0.7754 |
| 0.0057 | 23.53 | 2600 | 0.0175 | 0.7791 |
| 0.0055 | 25.34 | 2800 | 0.0183 | 0.7765 |
Framework versions
- Transformers 4.37.2
- Pytorch 2.1.0+cu121
- Datasets 2.17.0
- Tokenizers 0.15.1