furina_seed42_eng_kin_amh_cross_latin_2e-05
This model is a fine-tuned version of yihongLiu/furina on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.0204
- Spearman Corr: 0.7440
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 |
---|---|---|---|---|
No log | 0.59 | 200 | 0.0262 | 0.6019 |
No log | 1.17 | 400 | 0.0231 | 0.6882 |
No log | 1.76 | 600 | 0.0287 | 0.6986 |
0.0478 | 2.35 | 800 | 0.0239 | 0.7144 |
0.0478 | 2.93 | 1000 | 0.0201 | 0.7331 |
0.0478 | 3.52 | 1200 | 0.0205 | 0.7360 |
0.0206 | 4.11 | 1400 | 0.0203 | 0.7431 |
0.0206 | 4.69 | 1600 | 0.0209 | 0.7377 |
0.0206 | 5.28 | 1800 | 0.0197 | 0.7457 |
0.0206 | 5.87 | 2000 | 0.0203 | 0.7442 |
0.0141 | 6.45 | 2200 | 0.0198 | 0.7482 |
0.0141 | 7.04 | 2400 | 0.0208 | 0.7452 |
0.0141 | 7.62 | 2600 | 0.0206 | 0.7411 |
0.0104 | 8.21 | 2800 | 0.0215 | 0.7371 |
0.0104 | 8.8 | 3000 | 0.0198 | 0.7441 |
0.0104 | 9.38 | 3200 | 0.0210 | 0.7422 |
0.0104 | 9.97 | 3400 | 0.0204 | 0.7440 |
Framework versions
- Transformers 4.37.2
- Pytorch 2.1.0+cu121
- Datasets 2.17.0
- Tokenizers 0.15.2
- Downloads last month
- 6
Inference API (serverless) is not available, repository is disabled.
Model tree for Shijia/furina_seed42_eng_kin_amh_cross_latin_2e-05
Base model
yihongLiu/furina
Finetuned
this model