det-adj-noun-lstm-4
This model is a fine-tuned version of on the None dataset. It achieves the following results on the evaluation set:
- Loss: 3.9726
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 |
|---|---|---|---|
| 4.7824 | 0.03 | 76320 | 4.7586 |
| 4.4996 | 1.03 | 152640 | 4.4771 |
| 4.3559 | 0.03 | 228960 | 4.3426 |
| 4.2716 | 1.03 | 305280 | 4.2596 |
| 4.2095 | 0.03 | 381600 | 4.2030 |
| 4.1671 | 1.03 | 457920 | 4.1621 |
| 4.1296 | 0.03 | 534240 | 4.1311 |
| 4.0958 | 1.03 | 610560 | 4.1065 |
| 4.0672 | 0.03 | 686880 | 4.0876 |
| 4.0405 | 1.03 | 763200 | 4.0711 |
| 4.0207 | 0.03 | 839520 | 4.0583 |
| 4.0077 | 1.03 | 915840 | 4.0471 |
| 3.9936 | 0.03 | 992160 | 4.0386 |
| 3.9748 | 1.03 | 1068480 | 4.0312 |
| 3.961 | 0.03 | 1144800 | 4.0242 |
| 3.9432 | 1.03 | 1221120 | 4.0185 |
| 3.9272 | 0.03 | 1297440 | 4.0131 |
| 3.9219 | 1.03 | 1373760 | 4.0086 |
| 3.9129 | 0.03 | 1450080 | 4.0047 |
| 3.9121 | 1.03 | 1526400 | 4.0014 |
| 3.9048 | 0.03 | 1602720 | 3.9980 |
| 3.9047 | 1.03 | 1679040 | 3.9946 |
| 3.9019 | 0.03 | 1755360 | 3.9925 |
| 3.8934 | 1.03 | 1831680 | 3.9900 |
| 3.8867 | 0.03 | 1908000 | 3.9879 |
| 3.8786 | 1.03 | 1984320 | 3.9865 |
| 3.873 | 0.03 | 2060640 | 3.9850 |
| 3.8704 | 1.03 | 2136960 | 3.9827 |
| 3.8682 | 0.03 | 2213280 | 3.9811 |
| 3.8592 | 1.03 | 2289600 | 3.9793 |
| 3.8541 | 0.03 | 2365920 | 3.9781 |
| 3.8456 | 0.03 | 2442240 | 3.9772 |
| 3.8378 | 1.03 | 2518560 | 3.9764 |
| 3.8374 | 0.03 | 2594880 | 3.9757 |
| 3.8356 | 1.03 | 2671200 | 3.9749 |
| 3.839 | 0.03 | 2747520 | 3.9743 |
| 3.8389 | 1.03 | 2823840 | 3.9737 |
| 3.8427 | 0.03 | 2900160 | 3.9734 |
| 3.8452 | 1.03 | 2976480 | 3.9730 |
| 3.8403 | 0.02 | 3052726 | 3.9726 |
Framework versions
- Transformers 4.33.3
- Pytorch 2.0.1
- Datasets 2.12.0
- Tokenizers 0.13.3
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