|
|
--- |
|
|
tags: |
|
|
- generated_from_trainer |
|
|
model-index: |
|
|
- name: binding-c-command-lstm-0 |
|
|
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-c-command-lstm-0 |
|
|
|
|
|
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: 3.9699 |
|
|
|
|
|
## 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: 0 |
|
|
- 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 | |
|
|
|:-------------:|:-----:|:-------:|:---------------:| |
|
|
| 4.7849 | 0.03 | 76320 | 4.7520 | |
|
|
| 4.4971 | 1.03 | 152640 | 4.4703 | |
|
|
| 4.3536 | 0.03 | 228960 | 4.3355 | |
|
|
| 4.2709 | 1.03 | 305280 | 4.2524 | |
|
|
| 4.206 | 0.03 | 381600 | 4.1975 | |
|
|
| 4.1616 | 1.03 | 457920 | 4.1573 | |
|
|
| 4.1284 | 0.03 | 534240 | 4.1268 | |
|
|
| 4.0967 | 1.03 | 610560 | 4.1031 | |
|
|
| 4.0659 | 0.03 | 686880 | 4.0840 | |
|
|
| 4.0401 | 1.03 | 763200 | 4.0679 | |
|
|
| 4.0167 | 0.03 | 839520 | 4.0552 | |
|
|
| 4.0005 | 1.03 | 915840 | 4.0439 | |
|
|
| 3.9844 | 0.03 | 992160 | 4.0350 | |
|
|
| 3.9656 | 1.03 | 1068480 | 4.0262 | |
|
|
| 3.9508 | 0.03 | 1144800 | 4.0199 | |
|
|
| 3.9442 | 1.03 | 1221120 | 4.0137 | |
|
|
| 3.9318 | 0.03 | 1297440 | 4.0092 | |
|
|
| 3.9226 | 1.03 | 1373760 | 4.0047 | |
|
|
| 3.9116 | 0.03 | 1450080 | 4.0008 | |
|
|
| 3.91 | 0.03 | 1526400 | 3.9970 | |
|
|
| 3.9028 | 1.03 | 1602720 | 3.9944 | |
|
|
| 3.8998 | 0.03 | 1679040 | 3.9919 | |
|
|
| 3.8979 | 1.03 | 1755360 | 3.9885 | |
|
|
| 3.893 | 0.03 | 1831680 | 3.9866 | |
|
|
| 3.8854 | 1.03 | 1908000 | 3.9844 | |
|
|
| 3.8768 | 0.03 | 1984320 | 3.9829 | |
|
|
| 3.8695 | 1.03 | 2060640 | 3.9813 | |
|
|
| 3.8658 | 0.03 | 2136960 | 3.9796 | |
|
|
| 3.8615 | 1.03 | 2213280 | 3.9785 | |
|
|
| 3.8517 | 0.03 | 2289600 | 3.9774 | |
|
|
| 3.8459 | 1.03 | 2365920 | 3.9757 | |
|
|
| 3.8477 | 0.03 | 2442240 | 3.9747 | |
|
|
| 3.8416 | 1.03 | 2518560 | 3.9740 | |
|
|
| 3.8388 | 0.03 | 2594880 | 3.9732 | |
|
|
| 3.8335 | 1.03 | 2671200 | 3.9725 | |
|
|
| 3.8381 | 0.03 | 2747520 | 3.9716 | |
|
|
| 3.8357 | 1.03 | 2823840 | 3.9712 | |
|
|
| 3.8372 | 0.03 | 2900160 | 3.9706 | |
|
|
| 3.8402 | 0.03 | 2976480 | 3.9704 | |
|
|
| 3.841 | 1.02 | 3052726 | 3.9699 | |
|
|
|
|
|
|
|
|
### Framework versions |
|
|
|
|
|
- Transformers 4.33.3 |
|
|
- Pytorch 2.0.1 |
|
|
- Datasets 2.12.0 |
|
|
- Tokenizers 0.13.3 |
|
|
|
