re-irr-sv-agr-transformer-2
This model is a fine-tuned version of on the None dataset. It achieves the following results on the evaluation set:
- Loss: 3.8837
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 |
---|---|---|---|
4.2207 | 0.03 | 76320 | 4.2149 |
4.0118 | 0.03 | 152640 | 4.0444 |
3.905 | 1.03 | 228960 | 3.9700 |
3.8377 | 0.03 | 305280 | 3.9284 |
3.7866 | 1.03 | 381600 | 3.9029 |
3.7487 | 0.03 | 457920 | 3.8875 |
3.7143 | 1.03 | 534240 | 3.8776 |
3.6817 | 0.03 | 610560 | 3.8704 |
3.6543 | 1.03 | 686880 | 3.8656 |
3.6302 | 0.03 | 763200 | 3.8644 |
3.6039 | 1.03 | 839520 | 3.8619 |
3.5885 | 0.03 | 915840 | 3.8621 |
3.5743 | 1.03 | 992160 | 3.8626 |
3.5508 | 0.03 | 1068480 | 3.8623 |
3.5341 | 0.03 | 1144800 | 3.8637 |
3.5187 | 1.03 | 1221120 | 3.8642 |
3.5007 | 0.03 | 1297440 | 3.8653 |
3.4857 | 1.03 | 1373760 | 3.8663 |
3.4733 | 0.03 | 1450080 | 3.8689 |
3.4644 | 1.03 | 1526400 | 3.8697 |
3.4563 | 0.03 | 1602720 | 3.8720 |
3.4494 | 1.03 | 1679040 | 3.8730 |
3.4406 | 0.03 | 1755360 | 3.8751 |
3.4292 | 1.03 | 1831680 | 3.8765 |
3.417 | 0.03 | 1908000 | 3.8777 |
3.4052 | 0.03 | 1984320 | 3.8789 |
3.3902 | 1.03 | 2060640 | 3.8804 |
3.3852 | 0.03 | 2136960 | 3.8814 |
3.3769 | 1.03 | 2213280 | 3.8831 |
3.3628 | 0.03 | 2289600 | 3.8843 |
3.3514 | 1.03 | 2365920 | 3.8848 |
3.3403 | 0.03 | 2442240 | 3.8864 |
3.3273 | 1.03 | 2518560 | 3.8858 |
3.3181 | 0.03 | 2594880 | 3.8867 |
3.3105 | 0.03 | 2671200 | 3.8869 |
3.3043 | 0.03 | 2747520 | 3.8869 |
3.2981 | 1.03 | 2823840 | 3.8864 |
3.2953 | 0.03 | 2900160 | 3.8864 |
3.2897 | 1.03 | 2976480 | 3.8851 |
3.2825 | 0.02 | 3052726 | 3.8837 |
Framework versions
- Transformers 4.33.3
- Pytorch 2.0.1
- Datasets 2.12.0
- Tokenizers 0.13.3
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