metadata
base_model: yihongLiu/furina
tags:
- generated_from_trainer
model-index:
- name: furina_seed42_eng
results: []
furina_seed42_eng
This model is a fine-tuned version of yihongLiu/furina on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.0154
- Spearman Corr: 0.8369
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 |
|---|---|---|---|---|
| 0.1008 | 2.58 | 200 | 0.0227 | 0.7562 |
| 0.0257 | 5.16 | 400 | 0.0211 | 0.7966 |
| 0.018 | 7.74 | 600 | 0.0160 | 0.8301 |
| 0.0117 | 10.32 | 800 | 0.0160 | 0.8281 |
| 0.0101 | 12.9 | 1000 | 0.0154 | 0.8360 |
| 0.0086 | 15.48 | 1200 | 0.0154 | 0.8367 |
| 0.007 | 18.06 | 1400 | 0.0150 | 0.8377 |
| 0.0062 | 20.65 | 1600 | 0.0154 | 0.8387 |
| 0.0059 | 23.23 | 1800 | 0.0155 | 0.8356 |
| 0.0055 | 25.81 | 2000 | 0.0152 | 0.8386 |
| 0.0052 | 28.39 | 2200 | 0.0154 | 0.8369 |
Framework versions
- Transformers 4.37.2
- Pytorch 2.1.0+cu121
- Datasets 2.16.1
- Tokenizers 0.15.1