metadata
tags:
- generated_from_trainer
model-index:
- name: superlative-quantifier-lstm-0
results: []
superlative-quantifier-lstm-0
This model is a fine-tuned version of on the None dataset. It achieves the following results on the evaluation set:
- Loss: 3.9895
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 |
|---|---|---|---|
| 4.7768 | 0.03 | 76320 | 4.7625 |
| 4.4994 | 1.03 | 152640 | 4.4851 |
| 4.3586 | 0.03 | 228960 | 4.3523 |
| 4.2722 | 1.03 | 305280 | 4.2704 |
| 4.2128 | 2.03 | 381600 | 4.2144 |
| 4.1637 | 0.03 | 457920 | 4.1737 |
| 4.1288 | 1.03 | 534240 | 4.1432 |
| 4.0985 | 0.03 | 610560 | 4.1191 |
| 4.0699 | 1.03 | 686880 | 4.0997 |
| 4.0461 | 2.03 | 763200 | 4.0839 |
| 4.0238 | 0.03 | 839520 | 4.0716 |
| 4.0037 | 1.03 | 915840 | 4.0607 |
| 3.9934 | 0.03 | 992160 | 4.0516 |
| 3.9755 | 1.03 | 1068480 | 4.0440 |
| 3.9605 | 0.03 | 1144800 | 4.0370 |
| 3.9465 | 0.03 | 1221120 | 4.0317 |
| 3.9323 | 1.03 | 1297440 | 4.0269 |
| 3.9218 | 0.03 | 1373760 | 4.0221 |
| 3.9132 | 1.03 | 1450080 | 4.0180 |
| 3.9112 | 0.03 | 1526400 | 4.0147 |
| 3.9084 | 1.03 | 1602720 | 4.0120 |
| 3.9015 | 0.03 | 1679040 | 4.0093 |
| 3.8991 | 1.03 | 1755360 | 4.0071 |
| 3.8977 | 0.03 | 1831680 | 4.0053 |
| 3.8892 | 0.03 | 1908000 | 4.0033 |
| 3.8818 | 0.03 | 1984320 | 4.0013 |
| 3.8748 | 0.03 | 2060640 | 3.9992 |
| 3.8679 | 1.03 | 2136960 | 3.9976 |
| 3.8693 | 2.03 | 2213280 | 3.9966 |
| 3.8634 | 0.03 | 2289600 | 3.9957 |
| 3.8557 | 1.03 | 2365920 | 3.9948 |
| 3.85 | 0.03 | 2442240 | 3.9942 |
| 3.8426 | 1.03 | 2518560 | 3.9934 |
| 3.8418 | 0.03 | 2594880 | 3.9927 |
| 3.835 | 1.03 | 2671200 | 3.9919 |
| 3.8405 | 2.03 | 2747520 | 3.9913 |
| 3.8384 | 0.03 | 2823840 | 3.9907 |
| 3.8387 | 1.03 | 2900160 | 3.9903 |
| 3.8427 | 0.03 | 2976480 | 3.9898 |
| 3.8428 | 1.02 | 3052726 | 3.9895 |
Framework versions
- Transformers 4.33.3
- Pytorch 2.0.1
- Datasets 2.12.0
- Tokenizers 0.13.3