|
--- |
|
tags: |
|
- generated_from_trainer |
|
model-index: |
|
- name: binding-c-command-lstm-1 |
|
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-1 |
|
|
|
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: 3.9732 |
|
|
|
## 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 | |
|
|:-------------:|:-----:|:-------:|:---------------:| |
|
| 4.7924 | 0.03 | 76320 | 4.7590 | |
|
| 4.5076 | 1.03 | 152640 | 4.4794 | |
|
| 4.3635 | 0.03 | 228960 | 4.3457 | |
|
| 4.2825 | 1.03 | 305280 | 4.2627 | |
|
| 4.2163 | 0.03 | 381600 | 4.2058 | |
|
| 4.1714 | 1.03 | 457920 | 4.1649 | |
|
| 4.1359 | 0.03 | 534240 | 4.1339 | |
|
| 4.1036 | 1.03 | 610560 | 4.1092 | |
|
| 4.0733 | 0.03 | 686880 | 4.0896 | |
|
| 4.0483 | 1.03 | 763200 | 4.0740 | |
|
| 4.0264 | 0.03 | 839520 | 4.0605 | |
|
| 4.011 | 1.03 | 915840 | 4.0498 | |
|
| 3.9946 | 0.03 | 992160 | 4.0398 | |
|
| 3.9757 | 0.03 | 1068480 | 4.0325 | |
|
| 3.964 | 1.03 | 1144800 | 4.0262 | |
|
| 3.9564 | 0.03 | 1221120 | 4.0204 | |
|
| 3.9407 | 1.03 | 1297440 | 4.0146 | |
|
| 3.9317 | 0.03 | 1373760 | 4.0099 | |
|
| 3.9202 | 1.03 | 1450080 | 4.0062 | |
|
| 3.9207 | 0.03 | 1526400 | 4.0023 | |
|
| 3.9122 | 1.03 | 1602720 | 3.9987 | |
|
| 3.9095 | 0.03 | 1679040 | 3.9954 | |
|
| 3.9077 | 1.03 | 1755360 | 3.9931 | |
|
| 3.9027 | 0.03 | 1831680 | 3.9912 | |
|
| 3.8933 | 1.03 | 1908000 | 3.9891 | |
|
| 3.8845 | 0.03 | 1984320 | 3.9871 | |
|
| 3.8782 | 1.03 | 2060640 | 3.9853 | |
|
| 3.8748 | 0.03 | 2136960 | 3.9838 | |
|
| 3.8704 | 1.03 | 2213280 | 3.9826 | |
|
| 3.861 | 0.03 | 2289600 | 3.9810 | |
|
| 3.8563 | 1.03 | 2365920 | 3.9800 | |
|
| 3.8586 | 0.03 | 2442240 | 3.9790 | |
|
| 3.8525 | 1.03 | 2518560 | 3.9783 | |
|
| 3.8489 | 0.03 | 2594880 | 3.9772 | |
|
| 3.8414 | 0.03 | 2671200 | 3.9763 | |
|
| 3.8459 | 1.03 | 2747520 | 3.9756 | |
|
| 3.8454 | 0.03 | 2823840 | 3.9747 | |
|
| 3.8468 | 1.03 | 2900160 | 3.9741 | |
|
| 3.8482 | 0.03 | 2976480 | 3.9735 | |
|
| 3.8479 | 1.02 | 3052726 | 3.9732 | |
|
|
|
|
|
### Framework versions |
|
|
|
- Transformers 4.33.3 |
|
- Pytorch 2.0.1 |
|
- Datasets 2.12.0 |
|
- Tokenizers 0.13.3 |
|
|
