metadata
tags:
- generated_from_trainer
model-index:
- name: superlative-quantifier-lstm-4
results: []
superlative-quantifier-lstm-4
This model is a fine-tuned version of on the None dataset. It achieves the following results on the evaluation set:
- Loss: 3.9898
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: 4
- 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 |
|---|---|---|---|
| 4.7903 | 0.03 | 76320 | 4.7765 |
| 4.5105 | 1.03 | 152640 | 4.4958 |
| 4.3672 | 0.03 | 228960 | 4.3606 |
| 4.282 | 1.03 | 305280 | 4.2770 |
| 4.2196 | 0.03 | 381600 | 4.2205 |
| 4.1715 | 1.03 | 457920 | 4.1797 |
| 4.1356 | 2.03 | 534240 | 4.1483 |
| 4.1053 | 0.03 | 610560 | 4.1234 |
| 4.0757 | 1.03 | 686880 | 4.1042 |
| 4.0511 | 2.03 | 763200 | 4.0878 |
| 4.0272 | 0.03 | 839520 | 4.0751 |
| 4.009 | 1.03 | 915840 | 4.0643 |
| 3.9972 | 0.03 | 992160 | 4.0550 |
| 3.9818 | 1.03 | 1068480 | 4.0474 |
| 3.9665 | 0.03 | 1144800 | 4.0404 |
| 3.9515 | 1.03 | 1221120 | 4.0340 |
| 3.9376 | 0.03 | 1297440 | 4.0286 |
| 3.9283 | 1.03 | 1373760 | 4.0239 |
| 3.9186 | 0.03 | 1450080 | 4.0205 |
| 3.9169 | 1.03 | 1526400 | 4.0173 |
| 3.9113 | 0.03 | 1602720 | 4.0143 |
| 3.9058 | 1.03 | 1679040 | 4.0113 |
| 3.9044 | 2.03 | 1755360 | 4.0088 |
| 3.8991 | 0.03 | 1831680 | 4.0061 |
| 3.891 | 1.03 | 1908000 | 4.0039 |
| 3.8847 | 0.03 | 1984320 | 4.0019 |
| 3.8766 | 0.03 | 2060640 | 4.0003 |
| 3.8712 | 1.03 | 2136960 | 3.9989 |
| 3.8716 | 0.03 | 2213280 | 3.9979 |
| 3.8644 | 0.03 | 2289600 | 3.9967 |
| 3.8586 | 1.03 | 2365920 | 3.9958 |
| 3.8509 | 2.03 | 2442240 | 3.9947 |
| 3.8473 | 0.03 | 2518560 | 3.9940 |
| 3.8436 | 1.03 | 2594880 | 3.9932 |
| 3.8378 | 2.03 | 2671200 | 3.9925 |
| 3.8413 | 0.03 | 2747520 | 3.9915 |
| 3.8424 | 0.03 | 2823840 | 3.9909 |
| 3.8415 | 1.03 | 2900160 | 3.9904 |
| 3.843 | 0.03 | 2976480 | 3.9900 |
| 3.8446 | 1.02 | 3052726 | 3.9898 |
Framework versions
- Transformers 4.33.3
- Pytorch 2.0.1
- Datasets 2.12.0
- Tokenizers 0.13.3