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distilbert_add_GLUE_Experiment_logit_kd_stsb_96
This model is a fine-tuned version of distilbert-base-uncased on the GLUE STSB dataset. It achieves the following results on the evaluation set:
- Loss: 1.1264
- Pearson: nan
- Spearmanr: nan
- Combined Score: nan
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-05
- train_batch_size: 256
- eval_batch_size: 256
- seed: 10
- distributed_type: multi-GPU
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 50
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Pearson | Spearmanr | Combined Score |
|---|---|---|---|---|---|---|
| 4.3296 | 1.0 | 23 | 3.3387 | nan | nan | nan |
| 3.9535 | 2.0 | 46 | 3.1277 | nan | nan | nan |
| 3.7081 | 3.0 | 69 | 2.9189 | nan | nan | nan |
| 3.4597 | 4.0 | 92 | 2.7125 | nan | nan | nan |
| 3.2232 | 5.0 | 115 | 2.5114 | nan | nan | nan |
| 2.972 | 6.0 | 138 | 2.3156 | 0.0070 | 0.0078 | 0.0074 |
| 2.7373 | 7.0 | 161 | 2.1284 | nan | nan | nan |
| 2.527 | 8.0 | 184 | 1.9503 | nan | nan | nan |
| 2.3016 | 9.0 | 207 | 1.7828 | 0.0092 | 0.0081 | 0.0087 |
| 2.0903 | 10.0 | 230 | 1.6295 | nan | nan | nan |
| 1.8919 | 11.0 | 253 | 1.4932 | -0.0357 | -0.0358 | -0.0358 |
| 1.7184 | 12.0 | 276 | 1.3768 | nan | nan | nan |
| 1.5665 | 13.0 | 299 | 1.2813 | 0.0302 | 0.0292 | 0.0297 |
| 1.4283 | 14.0 | 322 | 1.2075 | 0.0115 | 0.0132 | 0.0123 |
| 1.3175 | 15.0 | 345 | 1.1569 | nan | nan | nan |
| 1.2276 | 16.0 | 368 | 1.1298 | nan | nan | nan |
| 1.1643 | 17.0 | 391 | 1.1264 | nan | nan | nan |
| 1.1172 | 18.0 | 414 | 1.1447 | 0.0009 | 0.0027 | 0.0018 |
| 1.1066 | 19.0 | 437 | 1.1677 | nan | nan | nan |
| 1.1002 | 20.0 | 460 | 1.1712 | 0.0024 | 0.0003 | 0.0014 |
| 1.1027 | 21.0 | 483 | 1.1767 | nan | nan | nan |
| 1.0984 | 22.0 | 506 | 1.1799 | nan | nan | nan |
Framework versions
- Transformers 4.26.0
- Pytorch 1.14.0a0+410ce96
- Datasets 2.9.0
- Tokenizers 0.13.2
