metadata
base_model: yihongLiu/furina
tags:
- generated_from_trainer
model-index:
- name: furina_seed42_eng_amh_esp_latin_2e-05
results: []
furina_seed42_eng_amh_esp_latin_2e-05
This model is a fine-tuned version of yihongLiu/furina on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.0179
- Spearman Corr: 0.7569
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 | 0.0178 | 0.7021 |
| 0.069 | 3.17 | 400 | 0.0168 | 0.7397 |
| 0.0224 | 4.76 | 600 | 0.0164 | 0.7463 |
| 0.0172 | 6.35 | 800 | 0.0162 | 0.7618 |
| 0.0172 | 7.94 | 1000 | 0.0156 | 0.7704 |
| 0.0133 | 9.52 | 1200 | 0.0156 | 0.7684 |
| 0.011 | 11.11 | 1400 | 0.0157 | 0.7674 |
| 0.0094 | 12.7 | 1600 | 0.0166 | 0.7665 |
| 0.0079 | 14.29 | 1800 | 0.0181 | 0.7536 |
| 0.0079 | 15.87 | 2000 | 0.0185 | 0.7513 |
| 0.007 | 17.46 | 2200 | 0.0182 | 0.7550 |
| 0.0061 | 19.05 | 2400 | 0.0178 | 0.7520 |
| 0.0056 | 20.63 | 2600 | 0.0179 | 0.7569 |
Framework versions
- Transformers 4.37.2
- Pytorch 2.1.0+cu121
- Datasets 2.17.0
- Tokenizers 0.15.2