| --- |
| tags: |
| - generated_from_trainer |
| model-index: |
| - name: binding-c-command-transformer-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-transformer-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: 3.8623 |
|
|
| ## 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 | |
| |:-------------:|:-----:|:-------:|:---------------:| |
| | 4.2256 | 0.03 | 76320 | 4.1939 | |
| | 4.0197 | 1.03 | 152640 | 4.0263 | |
| | 3.9124 | 0.03 | 228960 | 3.9521 | |
| | 3.8474 | 1.03 | 305280 | 3.9113 | |
| | 3.7939 | 0.03 | 381600 | 3.8862 | |
| | 3.7531 | 1.03 | 457920 | 3.8701 | |
| | 3.7234 | 0.03 | 534240 | 3.8589 | |
| | 3.6922 | 1.03 | 610560 | 3.8521 | |
| | 3.6629 | 0.03 | 686880 | 3.8485 | |
| | 3.6356 | 1.03 | 763200 | 3.8451 | |
| | 3.6128 | 0.03 | 839520 | 3.8436 | |
| | 3.5929 | 1.03 | 915840 | 3.8429 | |
| | 3.574 | 0.03 | 992160 | 3.8428 | |
| | 3.5508 | 1.03 | 1068480 | 3.8433 | |
| | 3.5355 | 0.03 | 1144800 | 3.8435 | |
| | 3.5278 | 1.03 | 1221120 | 3.8453 | |
| | 3.5109 | 0.03 | 1297440 | 3.8459 | |
| | 3.4986 | 0.03 | 1373760 | 3.8483 | |
| | 3.4819 | 1.03 | 1450080 | 3.8498 | |
| | 3.4765 | 0.03 | 1526400 | 3.8518 | |
| | 3.4654 | 0.03 | 1602720 | 3.8523 | |
| | 3.4555 | 1.03 | 1679040 | 3.8527 | |
| | 3.4499 | 0.03 | 1755360 | 3.8555 | |
| | 3.4399 | 0.03 | 1831680 | 3.8558 | |
| | 3.4253 | 0.03 | 1908000 | 3.8577 | |
| | 3.4113 | 1.03 | 1984320 | 3.8580 | |
| | 3.4005 | 0.03 | 2060640 | 3.8599 | |
| | 3.3919 | 1.03 | 2136960 | 3.8617 | |
| | 3.3804 | 0.03 | 2213280 | 3.8617 | |
| | 3.3655 | 0.03 | 2289600 | 3.8638 | |
| | 3.3548 | 1.03 | 2365920 | 3.8634 | |
| | 3.353 | 0.03 | 2442240 | 3.8643 | |
| | 3.3392 | 1.03 | 2518560 | 3.8654 | |
| | 3.3291 | 0.03 | 2594880 | 3.8651 | |
| | 3.3208 | 1.03 | 2671200 | 3.8650 | |
| | 3.3177 | 0.03 | 2747520 | 3.8656 | |
| | 3.3077 | 0.03 | 2823840 | 3.8655 | |
| | 3.3017 | 0.03 | 2900160 | 3.8646 | |
| | 3.3002 | 1.03 | 2976480 | 3.8635 | |
| | 3.2939 | 0.02 | 3052726 | 3.8623 | |
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|
| ### Framework versions |
|
|
| - Transformers 4.33.3 |
| - Pytorch 2.0.1 |
| - Datasets 2.12.0 |
| - Tokenizers 0.13.3 |
|
|
