metadata
base_model: yihongLiu/furina
tags:
- generated_from_trainer
model-index:
- name: furina_seed42_eng_esp_hau_basic
results: []
furina_seed42_eng_esp_hau_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: 0.0227
- Spearman Corr: 0.7567
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 | 1.61 | 200 | 0.0390 | 0.5403 |
| 0.0806 | 3.23 | 400 | 0.0258 | 0.7313 |
| 0.0295 | 4.84 | 600 | 0.0231 | 0.7463 |
| 0.022 | 6.45 | 800 | 0.0216 | 0.7582 |
| 0.017 | 8.06 | 1000 | 0.0241 | 0.7626 |
| 0.017 | 9.68 | 1200 | 0.0214 | 0.7723 |
| 0.0142 | 11.29 | 1400 | 0.0212 | 0.7660 |
| 0.0113 | 12.9 | 1600 | 0.0221 | 0.7655 |
| 0.0096 | 14.52 | 1800 | 0.0214 | 0.7690 |
| 0.0083 | 16.13 | 2000 | 0.0222 | 0.7595 |
| 0.0083 | 17.74 | 2200 | 0.0218 | 0.7649 |
| 0.0073 | 19.35 | 2400 | 0.0221 | 0.7600 |
| 0.0065 | 20.97 | 2600 | 0.0225 | 0.7606 |
| 0.0059 | 22.58 | 2800 | 0.0222 | 0.7574 |
| 0.0055 | 24.19 | 3000 | 0.0227 | 0.7567 |
Framework versions
- Transformers 4.37.2
- Pytorch 2.1.0+cu121
- Datasets 2.17.0
- Tokenizers 0.15.1