binding-reconstruction-transformer-1
This model is a fine-tuned version of on the None dataset. It achieves the following results on the evaluation set:
- Loss: 3.8611
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 |
|---|---|---|---|
| 4.2239 | 0.03 | 76320 | 4.1939 |
| 4.0217 | 1.03 | 152640 | 4.0238 |
| 3.9118 | 0.03 | 228960 | 3.9500 |
| 3.8448 | 1.03 | 305280 | 3.9093 |
| 3.7955 | 0.03 | 381600 | 3.8845 |
| 3.7518 | 1.03 | 457920 | 3.8681 |
| 3.7165 | 0.03 | 534240 | 3.8579 |
| 3.6877 | 1.03 | 610560 | 3.8510 |
| 3.6604 | 0.03 | 686880 | 3.8468 |
| 3.6352 | 1.03 | 763200 | 3.8442 |
| 3.6113 | 0.03 | 839520 | 3.8420 |
| 3.592 | 1.03 | 915840 | 3.8417 |
| 3.5744 | 0.03 | 992160 | 3.8415 |
| 3.553 | 1.03 | 1068480 | 3.8429 |
| 3.5374 | 0.03 | 1144800 | 3.8430 |
| 3.527 | 1.03 | 1221120 | 3.8430 |
| 3.5111 | 0.03 | 1297440 | 3.8450 |
| 3.497 | 1.03 | 1373760 | 3.8470 |
| 3.4839 | 0.03 | 1450080 | 3.8478 |
| 3.4754 | 1.03 | 1526400 | 3.8493 |
| 3.4673 | 0.03 | 1602720 | 3.8500 |
| 3.4558 | 1.03 | 1679040 | 3.8519 |
| 3.4446 | 0.03 | 1755360 | 3.8529 |
| 3.4357 | 1.03 | 1831680 | 3.8547 |
| 3.4233 | 0.03 | 1908000 | 3.8563 |
| 3.4091 | 1.03 | 1984320 | 3.8579 |
| 3.3997 | 0.03 | 2060640 | 3.8585 |
| 3.3889 | 0.03 | 2136960 | 3.8605 |
| 3.3795 | 1.03 | 2213280 | 3.8612 |
| 3.3641 | 0.03 | 2289600 | 3.8622 |
| 3.3563 | 1.03 | 2365920 | 3.8623 |
| 3.3489 | 0.03 | 2442240 | 3.8630 |
| 3.3375 | 1.03 | 2518560 | 3.8639 |
| 3.329 | 0.03 | 2594880 | 3.8642 |
| 3.3166 | 1.03 | 2671200 | 3.8646 |
| 3.3137 | 0.03 | 2747520 | 3.8643 |
| 3.3086 | 1.03 | 2823840 | 3.8641 |
| 3.2996 | 0.03 | 2900160 | 3.8636 |
| 3.2927 | 1.03 | 2976480 | 3.8627 |
| 3.2855 | 0.02 | 3052726 | 3.8611 |
Framework versions
- Transformers 4.33.3
- Pytorch 2.0.1
- Datasets 2.12.0
- Tokenizers 0.13.3
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