pp-mod-subj-lstm-4
This model is a fine-tuned version of on the None dataset. It achieves the following results on the evaluation set:
- Loss: 4.0228
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 |
|---|---|---|---|
| 4.7906 | 0.03 | 76319 | 4.8075 |
| 4.5003 | 1.03 | 152638 | 4.5249 |
| 4.3616 | 0.03 | 228957 | 4.3904 |
| 4.2704 | 1.03 | 305276 | 4.3082 |
| 4.2086 | 0.03 | 381595 | 4.2515 |
| 4.1599 | 1.03 | 457914 | 4.2106 |
| 4.1234 | 0.03 | 534233 | 4.1798 |
| 4.0919 | 1.03 | 610552 | 4.1544 |
| 4.0655 | 0.03 | 686871 | 4.1360 |
| 4.0406 | 1.03 | 763190 | 4.1198 |
| 4.0219 | 0.03 | 839509 | 4.1069 |
| 4.0045 | 1.03 | 915828 | 4.0971 |
| 3.9834 | 0.03 | 992147 | 4.0878 |
| 3.9687 | 0.03 | 1068466 | 4.0806 |
| 3.956 | 1.03 | 1144785 | 4.0738 |
| 3.952 | 0.03 | 1221105 | 4.0657 |
| 3.9407 | 1.03 | 1297425 | 4.0606 |
| 3.9296 | 0.03 | 1373745 | 4.0566 |
| 3.917 | 1.03 | 1450065 | 4.0529 |
| 3.9143 | 2.03 | 1526385 | 4.0498 |
| 3.909 | 0.03 | 1602705 | 4.0460 |
| 3.9 | 1.03 | 1679025 | 4.0440 |
| 3.8943 | 2.03 | 1755345 | 4.0411 |
| 3.888 | 0.03 | 1831665 | 4.0389 |
| 3.8795 | 1.03 | 1907985 | 4.0365 |
| 3.8727 | 2.03 | 1984305 | 4.0343 |
| 3.8701 | 0.03 | 2060625 | 4.0330 |
| 3.8647 | 1.03 | 2136945 | 4.0315 |
| 3.8625 | 2.03 | 2213265 | 4.0301 |
| 3.8572 | 0.03 | 2289585 | 4.0286 |
| 3.8561 | 0.03 | 2365905 | 4.0274 |
| 3.8493 | 1.03 | 2442225 | 4.0270 |
| 3.8418 | 2.03 | 2518545 | 4.0264 |
| 3.8425 | 0.03 | 2594865 | 4.0256 |
| 3.839 | 1.03 | 2671185 | 4.0251 |
| 3.8411 | 2.03 | 2747505 | 4.0247 |
| 3.8431 | 0.03 | 2823825 | 4.0241 |
| 3.8379 | 0.03 | 2900145 | 4.0237 |
| 3.8353 | 1.03 | 2976465 | 4.0233 |
| 3.8331 | 0.02 | 3052726 | 4.0228 |
Framework versions
- Transformers 4.33.3
- Pytorch 2.0.1
- Datasets 2.12.0
- Tokenizers 0.13.3
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