re-irr-sv-agr-transformer-4
This model is a fine-tuned version of on the None dataset. It achieves the following results on the evaluation set:
- Loss: 3.8889
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 |
---|---|---|---|
4.2133 | 0.03 | 76320 | 4.2076 |
4.0078 | 1.03 | 152640 | 4.0406 |
3.9019 | 0.03 | 228960 | 3.9673 |
3.8342 | 1.03 | 305280 | 3.9273 |
3.7842 | 0.03 | 381600 | 3.9023 |
3.7453 | 1.03 | 457920 | 3.8877 |
3.7122 | 0.03 | 534240 | 3.8773 |
3.6801 | 0.03 | 610560 | 3.8725 |
3.6523 | 1.03 | 686880 | 3.8682 |
3.6281 | 0.03 | 763200 | 3.8650 |
3.6022 | 1.03 | 839520 | 3.8651 |
3.5871 | 0.03 | 915840 | 3.8637 |
3.5709 | 1.03 | 992160 | 3.8647 |
3.5497 | 0.03 | 1068480 | 3.8658 |
3.5332 | 0.03 | 1144800 | 3.8667 |
3.5166 | 1.03 | 1221120 | 3.8687 |
3.4988 | 0.03 | 1297440 | 3.8686 |
3.484 | 1.03 | 1373760 | 3.8692 |
3.4711 | 0.03 | 1450080 | 3.8724 |
3.463 | 1.03 | 1526400 | 3.8742 |
3.4548 | 0.03 | 1602720 | 3.8753 |
3.4478 | 1.03 | 1679040 | 3.8769 |
3.4397 | 0.03 | 1755360 | 3.8786 |
3.4264 | 1.03 | 1831680 | 3.8802 |
3.4143 | 0.03 | 1908000 | 3.8824 |
3.4034 | 1.03 | 1984320 | 3.8831 |
3.3907 | 0.03 | 2060640 | 3.8834 |
3.3843 | 1.03 | 2136960 | 3.8860 |
3.3732 | 0.03 | 2213280 | 3.8868 |
3.3616 | 0.03 | 2289600 | 3.8872 |
3.3499 | 1.03 | 2365920 | 3.8889 |
3.3388 | 0.03 | 2442240 | 3.8892 |
3.3263 | 1.03 | 2518560 | 3.8893 |
3.316 | 0.03 | 2594880 | 3.8906 |
3.3078 | 1.03 | 2671200 | 3.8908 |
3.3029 | 0.03 | 2747520 | 3.8910 |
3.2953 | 1.03 | 2823840 | 3.8906 |
3.2926 | 0.03 | 2900160 | 3.8910 |
3.2871 | 1.03 | 2976480 | 3.8899 |
3.2795 | 0.02 | 3052726 | 3.8889 |
Framework versions
- Transformers 4.33.3
- Pytorch 2.0.1
- Datasets 2.12.0
- Tokenizers 0.13.3
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