| | --- |
| | tags: |
| | - generated_from_trainer |
| | model-index: |
| | - name: binding-c-command-transformer-2 |
| | 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-transformer-2 |
| |
|
| | 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: 3.8612 |
| |
|
| | ## 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: 2 |
| | - 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 | |
| | |:-------------:|:-----:|:-------:|:---------------:| |
| | | 4.2236 | 0.03 | 76320 | 4.1937 | |
| | | 4.0183 | 1.03 | 152640 | 4.0245 | |
| | | 3.9082 | 0.03 | 228960 | 3.9500 | |
| | | 3.8443 | 1.03 | 305280 | 3.9103 | |
| | | 3.7908 | 0.03 | 381600 | 3.8840 | |
| | | 3.7508 | 1.03 | 457920 | 3.8685 | |
| | | 3.7217 | 0.03 | 534240 | 3.8586 | |
| | | 3.6907 | 1.03 | 610560 | 3.8519 | |
| | | 3.6607 | 0.03 | 686880 | 3.8475 | |
| | | 3.6343 | 1.03 | 763200 | 3.8452 | |
| | | 3.611 | 0.03 | 839520 | 3.8432 | |
| | | 3.5893 | 1.03 | 915840 | 3.8427 | |
| | | 3.5719 | 0.03 | 992160 | 3.8424 | |
| | | 3.5509 | 0.03 | 1068480 | 3.8427 | |
| | | 3.5351 | 1.03 | 1144800 | 3.8427 | |
| | | 3.5269 | 0.03 | 1221120 | 3.8441 | |
| | | 3.5066 | 1.03 | 1297440 | 3.8453 | |
| | | 3.4967 | 0.03 | 1373760 | 3.8458 | |
| | | 3.4799 | 1.03 | 1450080 | 3.8476 | |
| | | 3.4756 | 0.03 | 1526400 | 3.8500 | |
| | | 3.4629 | 1.03 | 1602720 | 3.8510 | |
| | | 3.4559 | 0.03 | 1679040 | 3.8536 | |
| | | 3.4494 | 1.03 | 1755360 | 3.8534 | |
| | | 3.4387 | 0.03 | 1831680 | 3.8558 | |
| | | 3.4247 | 0.03 | 1908000 | 3.8572 | |
| | | 3.4118 | 1.03 | 1984320 | 3.8582 | |
| | | 3.3992 | 0.03 | 2060640 | 3.8598 | |
| | | 3.3894 | 1.03 | 2136960 | 3.8608 | |
| | | 3.3803 | 0.03 | 2213280 | 3.8610 | |
| | | 3.3632 | 1.03 | 2289600 | 3.8625 | |
| | | 3.3574 | 0.03 | 2365920 | 3.8635 | |
| | | 3.3492 | 0.03 | 2442240 | 3.8634 | |
| | | 3.3364 | 0.03 | 2518560 | 3.8649 | |
| | | 3.3296 | 1.03 | 2594880 | 3.8642 | |
| | | 3.317 | 0.03 | 2671200 | 3.8647 | |
| | | 3.3139 | 1.03 | 2747520 | 3.8653 | |
| | | 3.308 | 0.03 | 2823840 | 3.8642 | |
| | | 3.3023 | 1.03 | 2900160 | 3.8635 | |
| | | 3.3002 | 0.03 | 2976480 | 3.8623 | |
| | | 3.2921 | 1.02 | 3052726 | 3.8612 | |
| |
|
| |
|
| | ### Framework versions |
| |
|
| | - Transformers 4.33.3 |
| | - Pytorch 2.0.1 |
| | - Datasets 2.12.0 |
| | - Tokenizers 0.13.3 |
| |
|
