|
|
--- |
|
|
tags: |
|
|
- generated_from_trainer |
|
|
model-index: |
|
|
- name: binding-reconstruction-lstm-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-reconstruction-lstm-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: 3.9719 |
|
|
|
|
|
## 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 | |
|
|
|:-------------:|:-----:|:-------:|:---------------:| |
|
|
| 4.7957 | 0.03 | 76320 | 4.7633 | |
|
|
| 4.5072 | 1.03 | 152640 | 4.4796 | |
|
|
| 4.3632 | 0.03 | 228960 | 4.3437 | |
|
|
| 4.278 | 1.03 | 305280 | 4.2603 | |
|
|
| 4.2149 | 0.03 | 381600 | 4.2036 | |
|
|
| 4.1648 | 1.03 | 457920 | 4.1627 | |
|
|
| 4.1243 | 0.03 | 534240 | 4.1298 | |
|
|
| 4.095 | 1.03 | 610560 | 4.1066 | |
|
|
| 4.0668 | 0.03 | 686880 | 4.0871 | |
|
|
| 4.041 | 0.03 | 763200 | 4.0715 | |
|
|
| 4.0223 | 1.03 | 839520 | 4.0583 | |
|
|
| 4.0048 | 0.03 | 915840 | 4.0469 | |
|
|
| 3.9912 | 1.03 | 992160 | 4.0381 | |
|
|
| 3.9716 | 0.03 | 1068480 | 4.0302 | |
|
|
| 3.9585 | 1.03 | 1144800 | 4.0235 | |
|
|
| 3.946 | 0.03 | 1221120 | 4.0170 | |
|
|
| 3.9354 | 1.03 | 1297440 | 4.0121 | |
|
|
| 3.9277 | 0.03 | 1373760 | 4.0072 | |
|
|
| 3.916 | 1.03 | 1450080 | 4.0027 | |
|
|
| 3.9153 | 0.03 | 1526400 | 3.9997 | |
|
|
| 3.9091 | 1.03 | 1602720 | 3.9968 | |
|
|
| 3.9025 | 0.03 | 1679040 | 3.9943 | |
|
|
| 3.8967 | 1.03 | 1755360 | 3.9919 | |
|
|
| 3.8932 | 0.03 | 1831680 | 3.9897 | |
|
|
| 3.8843 | 1.03 | 1908000 | 3.9872 | |
|
|
| 3.8776 | 0.03 | 1984320 | 3.9852 | |
|
|
| 3.8712 | 1.03 | 2060640 | 3.9835 | |
|
|
| 3.8692 | 0.03 | 2136960 | 3.9816 | |
|
|
| 3.8637 | 1.03 | 2213280 | 3.9802 | |
|
|
| 3.8561 | 0.03 | 2289600 | 3.9790 | |
|
|
| 3.8503 | 1.03 | 2365920 | 3.9779 | |
|
|
| 3.8498 | 0.03 | 2442240 | 3.9769 | |
|
|
| 3.8463 | 1.03 | 2518560 | 3.9763 | |
|
|
| 3.8421 | 0.03 | 2594880 | 3.9754 | |
|
|
| 3.8384 | 1.03 | 2671200 | 3.9747 | |
|
|
| 3.841 | 0.03 | 2747520 | 3.9740 | |
|
|
| 3.8419 | 1.03 | 2823840 | 3.9734 | |
|
|
| 3.84 | 0.03 | 2900160 | 3.9728 | |
|
|
| 3.8397 | 1.03 | 2976480 | 3.9724 | |
|
|
| 3.8387 | 0.02 | 3052726 | 3.9719 | |
|
|
|
|
|
|
|
|
### Framework versions |
|
|
|
|
|
- Transformers 4.33.3 |
|
|
- Pytorch 2.0.1 |
|
|
- Datasets 2.12.0 |
|
|
- Tokenizers 0.13.3 |
|
|
|
