metadata
base_model: yihongLiu/furina
tags:
- generated_from_trainer
model-index:
- name: furina_hau_loss_5e-06
results: []
furina_hau_loss_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: 0.0216
- Spearman Corr: 0.7686
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 | 0.95 | 200 | 0.0216 | 0.7666 |
No log | 1.91 | 400 | 0.0218 | 0.7659 |
0.0017 | 2.86 | 600 | 0.0223 | 0.7681 |
0.0017 | 3.82 | 800 | 0.0234 | 0.7663 |
0.0017 | 4.77 | 1000 | 0.0228 | 0.7651 |
0.0017 | 5.73 | 1200 | 0.0221 | 0.7662 |
0.0017 | 6.68 | 1400 | 0.0222 | 0.7684 |
0.0017 | 7.64 | 1600 | 0.0217 | 0.7644 |
0.0022 | 8.59 | 1800 | 0.0216 | 0.7686 |
Framework versions
- Transformers 4.37.2
- Pytorch 2.2.0+cu121
- Datasets 2.17.0
- Tokenizers 0.15.2