existential-there-quantifier-lstm-1
This model is a fine-tuned version of on the None dataset. It achieves the following results on the evaluation set:
- Loss: 3.9942
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: 1
- 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 |
|---|---|---|---|
| 4.8294 | 0.03 | 76320 | 4.7875 |
| 4.542 | 1.03 | 152640 | 4.5057 |
| 4.3987 | 0.03 | 228960 | 4.3699 |
| 4.3041 | 1.03 | 305280 | 4.2862 |
| 4.2431 | 0.03 | 381600 | 4.2283 |
| 4.1925 | 1.03 | 457920 | 4.1863 |
| 4.1569 | 0.03 | 534240 | 4.1547 |
| 4.1273 | 1.03 | 610560 | 4.1290 |
| 4.0981 | 0.03 | 686880 | 4.1104 |
| 4.0785 | 1.03 | 763200 | 4.0937 |
| 4.0542 | 0.03 | 839520 | 4.0798 |
| 4.034 | 1.03 | 915840 | 4.0686 |
| 4.0198 | 0.03 | 992160 | 4.0593 |
| 4.0035 | 1.03 | 1068480 | 4.0515 |
| 3.9854 | 0.03 | 1144800 | 4.0440 |
| 3.9778 | 1.03 | 1221120 | 4.0390 |
| 3.9643 | 0.03 | 1297440 | 4.0343 |
| 3.9526 | 1.03 | 1373760 | 4.0297 |
| 3.9457 | 0.03 | 1450080 | 4.0248 |
| 3.9331 | 1.03 | 1526400 | 4.0206 |
| 3.9301 | 0.03 | 1602720 | 4.0172 |
| 3.9263 | 1.03 | 1679040 | 4.0149 |
| 3.9266 | 0.03 | 1755360 | 4.0128 |
| 3.9239 | 1.03 | 1831680 | 4.0104 |
| 3.9149 | 0.03 | 1908000 | 4.0088 |
| 3.9157 | 1.03 | 1984320 | 4.0068 |
| 3.9072 | 0.03 | 2060640 | 4.0055 |
| 3.9008 | 1.03 | 2136960 | 4.0040 |
| 3.8958 | 0.03 | 2213280 | 4.0029 |
| 3.8897 | 1.03 | 2289600 | 4.0015 |
| 3.8817 | 0.03 | 2365920 | 4.0004 |
| 3.8804 | 0.03 | 2442240 | 3.9992 |
| 3.8746 | 1.03 | 2518560 | 3.9978 |
| 3.8692 | 0.03 | 2594880 | 3.9969 |
| 3.8683 | 1.03 | 2671200 | 3.9963 |
| 3.8646 | 0.03 | 2747520 | 3.9957 |
| 3.8663 | 1.03 | 2823840 | 3.9952 |
| 3.8663 | 0.03 | 2900160 | 3.9947 |
| 3.8674 | 0.03 | 2976480 | 3.9945 |
| 3.8701 | 1.02 | 3052726 | 3.9942 |
Framework versions
- Transformers 4.33.3
- Pytorch 2.0.1
- Datasets 2.12.0
- Tokenizers 0.13.3
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