deberta-v3-large-survey-related_passage_old_facts-rater-half-gpt4
This model is a fine-tuned version of microsoft/deberta-v3-large on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.5850
- Krippendorff: 0.9463
- Spearman: 0.9528
- Absolute Agreement: 0.8173
- Agreement Within One: 0.9399
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: 6e-06
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 1000
- num_epochs: 20
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Krippendorff | Spearman | Absolute Agreement | Agreement Within One |
|---|---|---|---|---|---|---|---|
| No log | 1.0 | 52 | 1.9330 | -0.0890 | nan | 0.0556 | 0.8056 |
| No log | 2.0 | 104 | 1.9327 | -0.0890 | nan | 0.0556 | 0.8056 |
| No log | 3.0 | 156 | 1.9302 | -0.0890 | nan | 0.0556 | 0.8056 |
| No log | 4.0 | 208 | 1.9298 | -0.0890 | nan | 0.0556 | 0.8056 |
| No log | 5.0 | 260 | 1.9269 | -0.6469 | nan | 0.1111 | 1.0 |
| No log | 6.0 | 312 | 1.9607 | -0.6469 | nan | 0.1111 | 1.0 |
| No log | 7.0 | 364 | 2.1026 | -0.6469 | nan | 0.1111 | 1.0 |
| No log | 8.0 | 416 | 2.0244 | -0.1249 | -0.1055 | 0.1667 | 0.7222 |
| No log | 9.0 | 468 | 2.0627 | -0.0719 | -0.0558 | 0.1667 | 0.6389 |
| 1.768 | 10.0 | 520 | 2.0573 | 0.1385 | 0.0985 | 0.1944 | 0.6944 |
| 1.768 | 11.0 | 572 | 2.0929 | 0.0704 | 0.0962 | 0.1944 | 0.6667 |
| 1.768 | 12.0 | 624 | 2.4193 | 0.0499 | 0.0924 | 0.1944 | 0.6944 |
| 1.768 | 13.0 | 676 | 2.2569 | 0.2089 | 0.1890 | 0.1667 | 0.7222 |
| 1.768 | 14.0 | 728 | 2.2547 | 0.1851 | 0.2376 | 0.25 | 0.7222 |
| 1.768 | 15.0 | 780 | 2.4887 | 0.2271 | 0.2263 | 0.1667 | 0.7222 |
| 1.768 | 16.0 | 832 | 2.4946 | 0.2272 | 0.2488 | 0.2222 | 0.7222 |
| 1.768 | 17.0 | 884 | 2.8018 | 0.2519 | 0.2900 | 0.2222 | 0.7222 |
| 1.768 | 18.0 | 936 | 2.8760 | 0.1849 | 0.1906 | 0.1667 | 0.7222 |
| 1.768 | 19.0 | 988 | 3.0296 | 0.2389 | 0.2558 | 0.1389 | 0.7222 |
| 0.9194 | 20.0 | 1040 | 3.0490 | 0.2238 | 0.2630 | 0.25 | 0.7222 |
Framework versions
- Transformers 4.26.0
- Pytorch 1.13.1
- Datasets 2.10.1
- Tokenizers 0.12.1