xlmroberta_clir_seed12_cross_translation_augmentation_0.1val
This model is a fine-tuned version of yihongLiu/furina on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.0213
- Spearman Corr: 0.7695
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: 12
- 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: 10
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Spearman Corr |
|---|---|---|---|---|
| No log | 0.54 | 200 | 0.0414 | 0.5959 |
| No log | 1.08 | 400 | 0.0290 | 0.6668 |
| No log | 1.62 | 600 | 0.0296 | 0.6789 |
| 0.0482 | 2.15 | 800 | 0.0270 | 0.6991 |
| 0.0482 | 2.69 | 1000 | 0.0254 | 0.7192 |
| 0.0482 | 3.23 | 1200 | 0.0273 | 0.7202 |
| 0.0482 | 3.77 | 1400 | 0.0248 | 0.7340 |
| 0.0237 | 4.31 | 1600 | 0.0239 | 0.7367 |
| 0.0237 | 4.85 | 1800 | 0.0235 | 0.7400 |
| 0.0237 | 5.38 | 2000 | 0.0237 | 0.7417 |
| 0.0237 | 5.92 | 2200 | 0.0231 | 0.7474 |
| 0.0173 | 6.46 | 2400 | 0.0228 | 0.7547 |
| 0.0173 | 7.0 | 2600 | 0.0220 | 0.7609 |
| 0.0173 | 7.54 | 2800 | 0.0218 | 0.7634 |
| 0.0135 | 8.08 | 3000 | 0.0216 | 0.7640 |
| 0.0135 | 8.61 | 3200 | 0.0217 | 0.7654 |
| 0.0135 | 9.15 | 3400 | 0.0213 | 0.7692 |
| 0.0135 | 9.69 | 3600 | 0.0213 | 0.7695 |
Framework versions
- Transformers 4.37.2
- Pytorch 2.1.0+cu121
- Datasets 2.16.1
- Tokenizers 0.15.1