existential-there-quantifier-lstm-2
This model is a fine-tuned version of on the None dataset. It achieves the following results on the evaluation set:
- Loss: 3.9956
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: 2
- 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 |
|---|---|---|---|
| 4.8395 | 0.03 | 76320 | 4.7977 |
| 4.5474 | 1.03 | 152640 | 4.5109 |
| 4.4015 | 0.03 | 228960 | 4.3723 |
| 4.3064 | 1.03 | 305280 | 4.2870 |
| 4.245 | 0.03 | 381600 | 4.2297 |
| 4.1964 | 1.03 | 457920 | 4.1873 |
| 4.1603 | 0.03 | 534240 | 4.1561 |
| 4.1312 | 1.03 | 610560 | 4.1313 |
| 4.102 | 0.03 | 686880 | 4.1114 |
| 4.0817 | 1.03 | 763200 | 4.0951 |
| 4.0587 | 0.03 | 839520 | 4.0820 |
| 4.0367 | 1.03 | 915840 | 4.0709 |
| 4.0242 | 0.03 | 992160 | 4.0620 |
| 4.008 | 1.03 | 1068480 | 4.0537 |
| 3.9878 | 0.03 | 1144800 | 4.0458 |
| 3.9807 | 1.03 | 1221120 | 4.0401 |
| 3.9693 | 0.03 | 1297440 | 4.0351 |
| 3.9571 | 1.03 | 1373760 | 4.0307 |
| 3.9487 | 0.03 | 1450080 | 4.0271 |
| 3.9399 | 1.03 | 1526400 | 4.0231 |
| 3.937 | 0.03 | 1602720 | 4.0198 |
| 3.931 | 1.03 | 1679040 | 4.0166 |
| 3.9284 | 0.03 | 1755360 | 4.0143 |
| 3.9273 | 0.03 | 1831680 | 4.0123 |
| 3.9169 | 1.03 | 1908000 | 4.0098 |
| 3.9161 | 0.03 | 1984320 | 4.0084 |
| 3.9107 | 1.03 | 2060640 | 4.0066 |
| 3.9021 | 0.03 | 2136960 | 4.0053 |
| 3.8983 | 1.03 | 2213280 | 4.0038 |
| 3.8927 | 0.03 | 2289600 | 4.0029 |
| 3.8835 | 1.03 | 2365920 | 4.0017 |
| 3.8847 | 0.03 | 2442240 | 4.0006 |
| 3.8779 | 0.03 | 2518560 | 3.9999 |
| 3.8749 | 0.03 | 2594880 | 3.9989 |
| 3.8715 | 1.03 | 2671200 | 3.9982 |
| 3.8664 | 0.03 | 2747520 | 3.9975 |
| 3.8704 | 1.03 | 2823840 | 3.9968 |
| 3.8676 | 0.03 | 2900160 | 3.9962 |
| 3.872 | 1.03 | 2976480 | 3.9960 |
| 3.8715 | 0.02 | 3052726 | 3.9956 |
Framework versions
- Transformers 4.33.3
- Pytorch 2.0.1
- Datasets 2.12.0
- Tokenizers 0.13.3
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