metadata
tags:
- generated_from_trainer
model-index:
- name: binding-c-command-lstm-1
results: []
binding-c-command-lstm-1
This model is a fine-tuned version of 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