existential-there-quantifier-lstm-3
This model is a fine-tuned version of on the None dataset. It achieves the following results on the evaluation set:
- Loss: 3.9908
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: 3
- 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 |
|---|---|---|---|
| 4.8327 | 0.03 | 76320 | 4.7897 |
| 4.5393 | 1.03 | 152640 | 4.5018 |
| 4.394 | 0.03 | 228960 | 4.3650 |
| 4.2992 | 1.03 | 305280 | 4.2801 |
| 4.2379 | 0.03 | 381600 | 4.2230 |
| 4.1886 | 1.03 | 457920 | 4.1810 |
| 4.153 | 0.03 | 534240 | 4.1506 |
| 4.1246 | 1.03 | 610560 | 4.1257 |
| 4.094 | 0.03 | 686880 | 4.1058 |
| 4.0747 | 1.03 | 763200 | 4.0905 |
| 4.0519 | 0.03 | 839520 | 4.0770 |
| 4.0312 | 1.03 | 915840 | 4.0655 |
| 4.017 | 0.03 | 992160 | 4.0566 |
| 3.9986 | 1.03 | 1068480 | 4.0483 |
| 3.981 | 0.03 | 1144800 | 4.0414 |
| 3.9739 | 1.03 | 1221120 | 4.0354 |
| 3.9606 | 0.03 | 1297440 | 4.0303 |
| 3.9499 | 1.03 | 1373760 | 4.0261 |
| 3.9415 | 0.03 | 1450080 | 4.0219 |
| 3.932 | 1.03 | 1526400 | 4.0187 |
| 3.9294 | 0.03 | 1602720 | 4.0159 |
| 3.9226 | 1.03 | 1679040 | 4.0131 |
| 3.9195 | 0.03 | 1755360 | 4.0094 |
| 3.9186 | 1.03 | 1831680 | 4.0071 |
| 3.9098 | 0.03 | 1908000 | 4.0055 |
| 3.9087 | 1.03 | 1984320 | 4.0036 |
| 3.8995 | 0.03 | 2060640 | 4.0021 |
| 3.8935 | 1.03 | 2136960 | 4.0009 |
| 3.8906 | 0.03 | 2213280 | 3.9996 |
| 3.8854 | 1.03 | 2289600 | 3.9981 |
| 3.875 | 0.03 | 2365920 | 3.9971 |
| 3.8766 | 1.03 | 2442240 | 3.9962 |
| 3.8714 | 0.03 | 2518560 | 3.9950 |
| 3.864 | 0.03 | 2594880 | 3.9944 |
| 3.8625 | 1.03 | 2671200 | 3.9934 |
| 3.8576 | 0.03 | 2747520 | 3.9927 |
| 3.8596 | 1.03 | 2823840 | 3.9921 |
| 3.8591 | 0.03 | 2900160 | 3.9915 |
| 3.8616 | 1.03 | 2976480 | 3.9911 |
| 3.8633 | 0.02 | 3052726 | 3.9908 |
Framework versions
- Transformers 4.33.3
- Pytorch 2.0.1
- Datasets 2.12.0
- Tokenizers 0.13.3
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