re-irr-sv-agr-transformer-1
This model is a fine-tuned version of on the None dataset. It achieves the following results on the evaluation set:
- Loss: 3.8917
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 |
---|---|---|---|
4.2191 | 0.03 | 76320 | 4.2133 |
4.0124 | 1.03 | 152640 | 4.0446 |
3.9042 | 0.03 | 228960 | 3.9689 |
3.8378 | 1.03 | 305280 | 3.9282 |
3.7862 | 0.03 | 381600 | 3.9036 |
3.7465 | 1.03 | 457920 | 3.8875 |
3.7125 | 0.03 | 534240 | 3.8780 |
3.6811 | 1.03 | 610560 | 3.8712 |
3.6533 | 0.03 | 686880 | 3.8683 |
3.6278 | 1.03 | 763200 | 3.8661 |
3.604 | 0.03 | 839520 | 3.8653 |
3.5878 | 1.03 | 915840 | 3.8643 |
3.5705 | 0.03 | 992160 | 3.8659 |
3.5519 | 0.03 | 1068480 | 3.8674 |
3.5332 | 0.03 | 1144800 | 3.8693 |
3.516 | 1.03 | 1221120 | 3.8696 |
3.498 | 0.03 | 1297440 | 3.8707 |
3.4839 | 1.03 | 1373760 | 3.8720 |
3.4693 | 0.03 | 1450080 | 3.8750 |
3.4632 | 1.03 | 1526400 | 3.8761 |
3.4533 | 0.03 | 1602720 | 3.8784 |
3.4476 | 1.03 | 1679040 | 3.8794 |
3.4382 | 0.03 | 1755360 | 3.8807 |
3.4264 | 1.03 | 1831680 | 3.8814 |
3.4151 | 0.03 | 1908000 | 3.8848 |
3.4026 | 1.03 | 1984320 | 3.8861 |
3.3883 | 0.03 | 2060640 | 3.8874 |
3.3828 | 1.03 | 2136960 | 3.8885 |
3.376 | 0.03 | 2213280 | 3.8899 |
3.3616 | 1.03 | 2289600 | 3.8903 |
3.3522 | 0.03 | 2365920 | 3.8921 |
3.3376 | 0.03 | 2442240 | 3.8915 |
3.3228 | 0.03 | 2518560 | 3.8923 |
3.3132 | 1.03 | 2594880 | 3.8935 |
3.3038 | 0.03 | 2671200 | 3.8945 |
3.2999 | 0.03 | 2747520 | 3.8946 |
3.2939 | 0.03 | 2823840 | 3.8947 |
3.2922 | 1.03 | 2900160 | 3.8938 |
3.2867 | 0.03 | 2976480 | 3.8927 |
3.2797 | 1.02 | 3052726 | 3.8917 |
Framework versions
- Transformers 4.33.3
- Pytorch 2.0.1
- Datasets 2.12.0
- Tokenizers 0.13.3
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