existential-there-quantifier-transformer-0
This model is a fine-tuned version of on the None dataset. It achieves the following results on the evaluation set:
- Loss: 3.8835
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: 32
- eval_batch_size: 32
- seed: 0
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- training_steps: 3052726
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 4.2546 | 0.03 | 76320 | 4.2173 |
| 4.0456 | 1.03 | 152640 | 4.0479 |
| 3.9375 | 0.03 | 228960 | 3.9722 |
| 3.8623 | 1.03 | 305280 | 3.9304 |
| 3.8127 | 0.03 | 381600 | 3.9056 |
| 3.7712 | 1.03 | 457920 | 3.8892 |
| 3.7382 | 0.03 | 534240 | 3.8785 |
| 3.7136 | 1.03 | 610560 | 3.8711 |
| 3.6834 | 0.03 | 686880 | 3.8678 |
| 3.662 | 1.03 | 763200 | 3.8651 |
| 3.6372 | 0.03 | 839520 | 3.8623 |
| 3.6129 | 1.03 | 915840 | 3.8620 |
| 3.5966 | 0.03 | 992160 | 3.8628 |
| 3.5783 | 1.03 | 1068480 | 3.8637 |
| 3.5567 | 0.03 | 1144800 | 3.8642 |
| 3.5491 | 1.03 | 1221120 | 3.8651 |
| 3.5327 | 0.03 | 1297440 | 3.8676 |
| 3.5175 | 1.03 | 1373760 | 3.8687 |
| 3.5057 | 0.03 | 1450080 | 3.8702 |
| 3.4924 | 0.03 | 1526400 | 3.8721 |
| 3.4828 | 1.03 | 1602720 | 3.8730 |
| 3.473 | 0.03 | 1679040 | 3.8742 |
| 3.4664 | 0.03 | 1755360 | 3.8755 |
| 3.4601 | 0.03 | 1831680 | 3.8762 |
| 3.4455 | 1.03 | 1908000 | 3.8786 |
| 3.4387 | 0.03 | 1984320 | 3.8797 |
| 3.4248 | 1.03 | 2060640 | 3.8817 |
| 3.4112 | 0.03 | 2136960 | 3.8819 |
| 3.4015 | 1.03 | 2213280 | 3.8829 |
| 3.3893 | 0.03 | 2289600 | 3.8840 |
| 3.3756 | 1.03 | 2365920 | 3.8845 |
| 3.3723 | 0.03 | 2442240 | 3.8853 |
| 3.3601 | 1.03 | 2518560 | 3.8860 |
| 3.3485 | 0.03 | 2594880 | 3.8865 |
| 3.3415 | 1.03 | 2671200 | 3.8873 |
| 3.3286 | 0.03 | 2747520 | 3.8864 |
| 3.3243 | 1.03 | 2823840 | 3.8858 |
| 3.3171 | 0.03 | 2900160 | 3.8852 |
| 3.3134 | 1.03 | 2976480 | 3.8841 |
| 3.3113 | 0.02 | 3052726 | 3.8835 |
Framework versions
- Transformers 4.33.3
- Pytorch 2.0.1
- Datasets 2.12.0
- Tokenizers 0.13.3
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