metadata
base_model: yihongLiu/furina
tags:
- generated_from_trainer
model-index:
- name: furina_seed42_eng_amh_hau_basic_5e-06
results: []
furina_seed42_eng_amh_hau_basic_5e-06
This model is a fine-tuned version of yihongLiu/furina on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.0270
- Spearman Corr: 0.7754
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: 5e-06
- 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 | 0.0668 | 0.0276 |
| 0.1596 | 3.1 | 400 | 0.0398 | 0.4309 |
| 0.0561 | 4.65 | 600 | 0.0270 | 0.7038 |
| 0.0335 | 6.2 | 800 | 0.0272 | 0.7202 |
| 0.0335 | 7.75 | 1000 | 0.0223 | 0.7452 |
| 0.0281 | 9.3 | 1200 | 0.0226 | 0.7406 |
| 0.0249 | 10.85 | 1400 | 0.0265 | 0.7632 |
| 0.022 | 12.4 | 1600 | 0.0222 | 0.7669 |
| 0.0205 | 13.95 | 1800 | 0.0231 | 0.7678 |
| 0.0205 | 15.5 | 2000 | 0.0228 | 0.7705 |
| 0.0191 | 17.05 | 2200 | 0.0251 | 0.7765 |
| 0.0184 | 18.6 | 2400 | 0.0224 | 0.7784 |
| 0.0173 | 20.16 | 2600 | 0.0270 | 0.7754 |
Framework versions
- Transformers 4.37.2
- Pytorch 2.1.0+cu121
- Datasets 2.17.0
- Tokenizers 0.15.2