metadata
tags:
- generated_from_trainer
model-index:
- name: binding-case-lstm-4
results: []
binding-case-lstm-4
This model is a fine-tuned version of on the None dataset. It achieves the following results on the evaluation set:
- Loss: 3.9721
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 |
|---|---|---|---|
| 4.7898 | 0.03 | 76320 | 4.7569 |
| 4.5057 | 1.03 | 152640 | 4.4762 |
| 4.3637 | 0.03 | 228960 | 4.3420 |
| 4.2767 | 1.03 | 305280 | 4.2589 |
| 4.215 | 0.03 | 381600 | 4.2025 |
| 4.1682 | 0.03 | 457920 | 4.1610 |
| 4.1327 | 1.03 | 534240 | 4.1302 |
| 4.0996 | 0.03 | 610560 | 4.1067 |
| 4.0729 | 1.03 | 686880 | 4.0872 |
| 4.0478 | 0.03 | 763200 | 4.0712 |
| 4.0291 | 0.03 | 839520 | 4.0578 |
| 4.0116 | 1.03 | 915840 | 4.0474 |
| 3.9934 | 0.03 | 992160 | 4.0378 |
| 3.976 | 1.03 | 1068480 | 4.0298 |
| 3.9673 | 0.03 | 1144800 | 4.0232 |
| 3.9437 | 1.03 | 1221120 | 4.0174 |
| 3.933 | 0.03 | 1297440 | 4.0125 |
| 3.9239 | 1.03 | 1373760 | 4.0074 |
| 3.9167 | 0.03 | 1450080 | 4.0034 |
| 3.9121 | 1.03 | 1526400 | 3.9994 |
| 3.9081 | 0.03 | 1602720 | 3.9955 |
| 3.9053 | 1.03 | 1679040 | 3.9927 |
| 3.9027 | 0.03 | 1755360 | 3.9907 |
| 3.8966 | 1.03 | 1831680 | 3.9888 |
| 3.8913 | 0.03 | 1908000 | 3.9873 |
| 3.8831 | 0.03 | 1984320 | 3.9854 |
| 3.8796 | 1.03 | 2060640 | 3.9839 |
| 3.8751 | 0.03 | 2136960 | 3.9823 |
| 3.8685 | 1.03 | 2213280 | 3.9810 |
| 3.86 | 0.03 | 2289600 | 3.9796 |
| 3.8605 | 1.03 | 2365920 | 3.9780 |
| 3.8465 | 0.03 | 2442240 | 3.9771 |
| 3.8422 | 1.03 | 2518560 | 3.9761 |
| 3.8393 | 0.03 | 2594880 | 3.9753 |
| 3.8389 | 1.03 | 2671200 | 3.9745 |
| 3.841 | 0.03 | 2747520 | 3.9739 |
| 3.84 | 1.03 | 2823840 | 3.9733 |
| 3.8427 | 0.03 | 2900160 | 3.9728 |
| 3.8443 | 1.03 | 2976480 | 3.9724 |
| 3.8432 | 0.02 | 3052726 | 3.9721 |
Framework versions
- Transformers 4.33.3
- Pytorch 2.0.1
- Datasets 2.12.0
- Tokenizers 0.13.3