|
|
--- |
|
|
tags: |
|
|
- generated_from_trainer |
|
|
model-index: |
|
|
- name: binding-domain-transformer-3 |
|
|
results: [] |
|
|
--- |
|
|
|
|
|
<!-- This model card has been generated automatically according to the information the Trainer had access to. You |
|
|
should probably proofread and complete it, then remove this comment. --> |
|
|
|
|
|
# binding-domain-transformer-3 |
|
|
|
|
|
This model is a fine-tuned version of [](https://huggingface.co/) on the None dataset. |
|
|
It achieves the following results on the evaluation set: |
|
|
- Loss: 3.8650 |
|
|
|
|
|
## 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: 3 |
|
|
- 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 | |
|
|
|:-------------:|:-----:|:-------:|:---------------:| |
|
|
| 4.2244 | 0.03 | 76320 | 4.1909 | |
|
|
| 4.0211 | 1.03 | 152640 | 4.0229 | |
|
|
| 3.9159 | 0.03 | 228960 | 3.9493 | |
|
|
| 3.8498 | 1.03 | 305280 | 3.9090 | |
|
|
| 3.7991 | 0.03 | 381600 | 3.8841 | |
|
|
| 3.7593 | 1.03 | 457920 | 3.8685 | |
|
|
| 3.723 | 0.03 | 534240 | 3.8588 | |
|
|
| 3.6924 | 1.03 | 610560 | 3.8515 | |
|
|
| 3.6614 | 0.03 | 686880 | 3.8478 | |
|
|
| 3.6384 | 1.03 | 763200 | 3.8438 | |
|
|
| 3.615 | 0.03 | 839520 | 3.8439 | |
|
|
| 3.5978 | 0.03 | 915840 | 3.8436 | |
|
|
| 3.5793 | 1.03 | 992160 | 3.8439 | |
|
|
| 3.5562 | 0.03 | 1068480 | 3.8438 | |
|
|
| 3.5417 | 1.03 | 1144800 | 3.8447 | |
|
|
| 3.5316 | 0.03 | 1221120 | 3.8448 | |
|
|
| 3.5118 | 1.03 | 1297440 | 3.8462 | |
|
|
| 3.4988 | 0.03 | 1373760 | 3.8479 | |
|
|
| 3.487 | 1.03 | 1450080 | 3.8496 | |
|
|
| 3.479 | 0.03 | 1526400 | 3.8513 | |
|
|
| 3.4692 | 1.03 | 1602720 | 3.8529 | |
|
|
| 3.461 | 0.03 | 1679040 | 3.8545 | |
|
|
| 3.451 | 1.03 | 1755360 | 3.8554 | |
|
|
| 3.4373 | 0.03 | 1831680 | 3.8589 | |
|
|
| 3.4255 | 1.03 | 1908000 | 3.8589 | |
|
|
| 3.4134 | 0.03 | 1984320 | 3.8601 | |
|
|
| 3.4011 | 1.03 | 2060640 | 3.8621 | |
|
|
| 3.3925 | 0.03 | 2136960 | 3.8635 | |
|
|
| 3.3812 | 1.03 | 2213280 | 3.8640 | |
|
|
| 3.37 | 0.03 | 2289600 | 3.8647 | |
|
|
| 3.3613 | 1.03 | 2365920 | 3.8655 | |
|
|
| 3.3524 | 0.03 | 2442240 | 3.8670 | |
|
|
| 3.3382 | 1.03 | 2518560 | 3.8679 | |
|
|
| 3.3299 | 0.03 | 2594880 | 3.8672 | |
|
|
| 3.3211 | 1.03 | 2671200 | 3.8679 | |
|
|
| 3.3176 | 0.03 | 2747520 | 3.8677 | |
|
|
| 3.3103 | 1.03 | 2823840 | 3.8677 | |
|
|
| 3.3062 | 0.03 | 2900160 | 3.8672 | |
|
|
| 3.2996 | 1.03 | 2976480 | 3.8662 | |
|
|
| 3.291 | 0.02 | 3052726 | 3.8650 | |
|
|
|
|
|
|
|
|
### Framework versions |
|
|
|
|
|
- Transformers 4.33.3 |
|
|
- Pytorch 2.0.1 |
|
|
- Datasets 2.12.0 |
|
|
- Tokenizers 0.13.3 |
|
|
|
