rel-cl2-transformer-1
This model is a fine-tuned version of on the None dataset. It achieves the following results on the evaluation set:
- Loss: 3.8695
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 |
---|---|---|---|
4.2329 | 0.03 | 76320 | 4.2009 |
4.0289 | 1.03 | 152640 | 4.0307 |
3.9231 | 0.03 | 228960 | 3.9576 |
3.8535 | 1.03 | 305280 | 3.9171 |
3.804 | 0.03 | 381600 | 3.8918 |
3.7641 | 1.03 | 457920 | 3.8763 |
3.7275 | 0.03 | 534240 | 3.8658 |
3.696 | 0.03 | 610560 | 3.8590 |
3.6663 | 1.03 | 686880 | 3.8544 |
3.6421 | 0.03 | 763200 | 3.8515 |
3.6169 | 1.03 | 839520 | 3.8503 |
3.5968 | 0.03 | 915840 | 3.8493 |
3.5769 | 1.03 | 992160 | 3.8496 |
3.558 | 0.03 | 1068480 | 3.8508 |
3.547 | 1.03 | 1144800 | 3.8513 |
3.5347 | 0.03 | 1221120 | 3.8519 |
3.5203 | 0.03 | 1297440 | 3.8537 |
3.5052 | 1.03 | 1373760 | 3.8551 |
3.4959 | 0.03 | 1450080 | 3.8548 |
3.4838 | 0.03 | 1526400 | 3.8566 |
3.4748 | 1.03 | 1602720 | 3.8588 |
3.4668 | 0.03 | 1679040 | 3.8602 |
3.4557 | 1.03 | 1755360 | 3.8608 |
3.4437 | 0.03 | 1831680 | 3.8632 |
3.4302 | 1.03 | 1908000 | 3.8629 |
3.4168 | 0.03 | 1984320 | 3.8652 |
3.4053 | 1.03 | 2060640 | 3.8663 |
3.3953 | 0.03 | 2136960 | 3.8667 |
3.3831 | 1.03 | 2213280 | 3.8682 |
3.371 | 0.03 | 2289600 | 3.8691 |
3.3647 | 1.03 | 2365920 | 3.8695 |
3.3613 | 0.03 | 2442240 | 3.8700 |
3.3501 | 0.03 | 2518560 | 3.8709 |
3.3403 | 1.03 | 2594880 | 3.8718 |
3.3309 | 0.03 | 2671200 | 3.8718 |
3.3237 | 1.03 | 2747520 | 3.8718 |
3.3183 | 0.03 | 2823840 | 3.8718 |
3.3119 | 1.03 | 2900160 | 3.8714 |
3.3057 | 0.03 | 2976480 | 3.8705 |
3.2965 | 1.02 | 3052726 | 3.8695 |
Framework versions
- Transformers 4.33.3
- Pytorch 2.0.1
- Datasets 2.12.0
- Tokenizers 0.13.3
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