metadata
base_model: yihongLiu/furina
tags:
- generated_from_trainer
model-index:
- name: furina_seed42_eng_amh_hau_basic_0.0001
results: []
furina_seed42_eng_amh_hau_basic_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: 0.0338
- Spearman Corr: 0.7400
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 | 1.55 | 200 | 0.0268 | 0.6751 |
| 0.0634 | 3.1 | 400 | 0.0365 | 0.7191 |
| 0.0233 | 4.65 | 600 | 0.0237 | 0.7350 |
| 0.0152 | 6.2 | 800 | 0.0311 | 0.7443 |
| 0.0152 | 7.75 | 1000 | 0.0321 | 0.7341 |
| 0.0108 | 9.3 | 1200 | 0.0303 | 0.7293 |
| 0.0078 | 10.85 | 1400 | 0.0301 | 0.7334 |
| 0.0062 | 12.4 | 1600 | 0.0368 | 0.7249 |
| 0.005 | 13.95 | 1800 | 0.0377 | 0.7439 |
| 0.005 | 15.5 | 2000 | 0.0327 | 0.7443 |
| 0.0044 | 17.05 | 2200 | 0.0338 | 0.7400 |
Framework versions
- Transformers 4.37.2
- Pytorch 2.1.0+cu121
- Datasets 2.17.0
- Tokenizers 0.15.2