metadata
base_model: yihongLiu/furina
tags:
- generated_from_trainer
model-index:
- name: furina_ary_loss_5e-06
results: []
furina_ary_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: 0.0226
- Spearman Corr: 0.7565
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 | 0.9 | 200 | 0.0228 | 0.7563 |
| No log | 1.8 | 400 | 0.0235 | 0.7560 |
| 0.0036 | 2.7 | 600 | 0.0225 | 0.7529 |
| 0.0036 | 3.6 | 800 | 0.0230 | 0.7605 |
| 0.0035 | 4.5 | 1000 | 0.0219 | 0.7584 |
| 0.0035 | 5.41 | 1200 | 0.0227 | 0.7586 |
| 0.0034 | 6.31 | 1400 | 0.0221 | 0.7607 |
| 0.0034 | 7.21 | 1600 | 0.0225 | 0.7612 |
| 0.0038 | 8.11 | 1800 | 0.0219 | 0.7575 |
| 0.0038 | 9.01 | 2000 | 0.0224 | 0.7576 |
| 0.0038 | 9.91 | 2200 | 0.0220 | 0.7598 |
| 0.0043 | 10.81 | 2400 | 0.0224 | 0.7601 |
| 0.0043 | 11.71 | 2600 | 0.0226 | 0.7565 |
Framework versions
- Transformers 4.37.2
- Pytorch 2.2.0+cu121
- Datasets 2.17.0
- Tokenizers 0.15.2