det-adj-noun-transformer-3
This model is a fine-tuned version of on the None dataset. It achieves the following results on the evaluation set:
- Loss: 3.8655
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: 3
- 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 |
---|---|---|---|
4.2123 | 0.03 | 76320 | 4.1969 |
4.0114 | 1.03 | 152640 | 4.0274 |
3.9036 | 0.03 | 228960 | 3.9528 |
3.8383 | 1.03 | 305280 | 3.9119 |
3.7887 | 0.03 | 381600 | 3.8862 |
3.7499 | 1.03 | 457920 | 3.8702 |
3.7171 | 0.03 | 534240 | 3.8599 |
3.6844 | 1.03 | 610560 | 3.8530 |
3.6549 | 0.03 | 686880 | 3.8492 |
3.6273 | 1.03 | 763200 | 3.8467 |
3.6054 | 0.03 | 839520 | 3.8458 |
3.5877 | 1.03 | 915840 | 3.8444 |
3.5719 | 0.03 | 992160 | 3.8447 |
3.5525 | 1.03 | 1068480 | 3.8449 |
3.5344 | 0.03 | 1144800 | 3.8451 |
3.5173 | 0.03 | 1221120 | 3.8471 |
3.4979 | 1.03 | 1297440 | 3.8483 |
3.4884 | 0.03 | 1373760 | 3.8493 |
3.4725 | 0.03 | 1450080 | 3.8516 |
3.4659 | 1.03 | 1526400 | 3.8530 |
3.4599 | 0.03 | 1602720 | 3.8552 |
3.4533 | 1.03 | 1679040 | 3.8563 |
3.4443 | 0.03 | 1755360 | 3.8585 |
3.4308 | 0.03 | 1831680 | 3.8589 |
3.4173 | 1.03 | 1908000 | 3.8606 |
3.4042 | 0.03 | 1984320 | 3.8613 |
3.3919 | 1.03 | 2060640 | 3.8630 |
3.3867 | 0.03 | 2136960 | 3.8647 |
3.3785 | 1.03 | 2213280 | 3.8660 |
3.3628 | 0.03 | 2289600 | 3.8663 |
3.3527 | 0.03 | 2365920 | 3.8675 |
3.3427 | 1.03 | 2442240 | 3.8677 |
3.3277 | 0.03 | 2518560 | 3.8695 |
3.3214 | 1.03 | 2594880 | 3.8694 |
3.3115 | 0.03 | 2671200 | 3.8687 |
3.309 | 1.03 | 2747520 | 3.8691 |
3.3035 | 0.03 | 2823840 | 3.8685 |
3.2981 | 1.03 | 2900160 | 3.8683 |
3.2946 | 0.03 | 2976480 | 3.8671 |
3.2878 | 1.02 | 3052726 | 3.8655 |
Framework versions
- Transformers 4.33.3
- Pytorch 2.0.1
- Datasets 2.12.0
- Tokenizers 0.13.3
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