det-adj-noun-transformer-2
This model is a fine-tuned version of on the None dataset. It achieves the following results on the evaluation set:
- Loss: 3.8611
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: 2
- 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 |
---|---|---|---|
4.2143 | 0.03 | 76320 | 4.1971 |
4.0126 | 1.03 | 152640 | 4.0275 |
3.9034 | 0.03 | 228960 | 3.9531 |
3.8386 | 1.03 | 305280 | 3.9123 |
3.7867 | 0.03 | 381600 | 3.8877 |
3.7511 | 1.03 | 457920 | 3.8721 |
3.7172 | 0.03 | 534240 | 3.8609 |
3.6865 | 1.03 | 610560 | 3.8550 |
3.6571 | 0.03 | 686880 | 3.8510 |
3.6313 | 1.03 | 763200 | 3.8467 |
3.6096 | 0.03 | 839520 | 3.8460 |
3.5918 | 1.03 | 915840 | 3.8454 |
3.5763 | 0.03 | 992160 | 3.8444 |
3.5553 | 0.03 | 1068480 | 3.8455 |
3.5372 | 1.03 | 1144800 | 3.8469 |
3.5178 | 0.03 | 1221120 | 3.8468 |
3.4992 | 1.03 | 1297440 | 3.8491 |
3.4907 | 0.03 | 1373760 | 3.8515 |
3.4758 | 1.03 | 1450080 | 3.8511 |
3.4692 | 0.03 | 1526400 | 3.8521 |
3.4631 | 1.03 | 1602720 | 3.8533 |
3.4552 | 0.03 | 1679040 | 3.8543 |
3.4493 | 0.03 | 1755360 | 3.8552 |
3.438 | 1.03 | 1831680 | 3.8578 |
3.4218 | 0.03 | 1908000 | 3.8586 |
3.4108 | 1.03 | 1984320 | 3.8595 |
3.3986 | 0.03 | 2060640 | 3.8605 |
3.3915 | 1.03 | 2136960 | 3.8608 |
3.3836 | 0.03 | 2213280 | 3.8618 |
3.369 | 1.03 | 2289600 | 3.8627 |
3.3558 | 0.03 | 2365920 | 3.8638 |
3.3426 | 0.03 | 2442240 | 3.8639 |
3.3287 | 1.03 | 2518560 | 3.8639 |
3.3228 | 0.03 | 2594880 | 3.8655 |
3.3138 | 1.03 | 2671200 | 3.8650 |
3.3124 | 0.03 | 2747520 | 3.8647 |
3.3054 | 1.03 | 2823840 | 3.8641 |
3.3032 | 0.03 | 2900160 | 3.8634 |
3.3008 | 1.03 | 2976480 | 3.8621 |
3.2909 | 0.02 | 3052726 | 3.8611 |
Framework versions
- Transformers 4.33.3
- Pytorch 2.0.1
- Datasets 2.12.0
- Tokenizers 0.13.3
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