det-adj-noun-transformer-1
This model is a fine-tuned version of on the None dataset. It achieves the following results on the evaluation set:
- Loss: 3.8677
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: 1
- 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 |
---|---|---|---|
4.2179 | 0.03 | 76320 | 4.2010 |
4.0153 | 1.03 | 152640 | 4.0309 |
3.9071 | 0.03 | 228960 | 3.9557 |
3.8411 | 1.03 | 305280 | 3.9141 |
3.7899 | 0.03 | 381600 | 3.8891 |
3.7523 | 1.03 | 457920 | 3.8726 |
3.7189 | 0.03 | 534240 | 3.8625 |
3.6871 | 1.03 | 610560 | 3.8552 |
3.6572 | 0.03 | 686880 | 3.8508 |
3.632 | 1.03 | 763200 | 3.8476 |
3.6086 | 0.03 | 839520 | 3.8459 |
3.5901 | 1.03 | 915840 | 3.8456 |
3.5753 | 0.03 | 992160 | 3.8450 |
3.5527 | 0.03 | 1068480 | 3.8468 |
3.5373 | 1.03 | 1144800 | 3.8470 |
3.5199 | 0.03 | 1221120 | 3.8478 |
3.5015 | 1.03 | 1297440 | 3.8490 |
3.4899 | 0.03 | 1373760 | 3.8510 |
3.4739 | 0.03 | 1450080 | 3.8521 |
3.4693 | 1.03 | 1526400 | 3.8533 |
3.4617 | 0.03 | 1602720 | 3.8546 |
3.4553 | 1.03 | 1679040 | 3.8568 |
3.4457 | 0.03 | 1755360 | 3.8580 |
3.4323 | 1.03 | 1831680 | 3.8589 |
3.4196 | 0.03 | 1908000 | 3.8606 |
3.4065 | 0.03 | 1984320 | 3.8634 |
3.3952 | 1.03 | 2060640 | 3.8638 |
3.3877 | 0.03 | 2136960 | 3.8656 |
3.3789 | 1.03 | 2213280 | 3.8666 |
3.3645 | 0.03 | 2289600 | 3.8680 |
3.3538 | 1.03 | 2365920 | 3.8695 |
3.3401 | 0.03 | 2442240 | 3.8689 |
3.3283 | 1.03 | 2518560 | 3.8690 |
3.321 | 0.03 | 2594880 | 3.8694 |
3.3106 | 0.03 | 2671200 | 3.8702 |
3.3082 | 1.03 | 2747520 | 3.8699 |
3.303 | 0.03 | 2823840 | 3.8704 |
3.2996 | 1.03 | 2900160 | 3.8693 |
3.2946 | 0.03 | 2976480 | 3.8686 |
3.285 | 1.02 | 3052726 | 3.8677 |
Framework versions
- Transformers 4.33.3
- Pytorch 2.0.1
- Datasets 2.12.0
- Tokenizers 0.13.3
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