| --- |
| tags: |
| - generated_from_trainer |
| model-index: |
| - name: binding-c-command-transformer-3 |
| 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-3 |
|
|
| 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: 3.8658 |
|
|
| ## 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: 3 |
| - 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 | |
| |:-------------:|:-----:|:-------:|:---------------:| |
| | 4.2247 | 0.03 | 76320 | 4.1929 | |
| | 4.0198 | 1.03 | 152640 | 4.0244 | |
| | 3.9092 | 0.03 | 228960 | 3.9511 | |
| | 3.8454 | 1.03 | 305280 | 3.9100 | |
| | 3.7914 | 0.03 | 381600 | 3.8855 | |
| | 3.7515 | 1.03 | 457920 | 3.8704 | |
| | 3.7206 | 0.03 | 534240 | 3.8592 | |
| | 3.6904 | 1.03 | 610560 | 3.8529 | |
| | 3.6599 | 0.03 | 686880 | 3.8485 | |
| | 3.6327 | 1.03 | 763200 | 3.8462 | |
| | 3.6099 | 0.03 | 839520 | 3.8442 | |
| | 3.5921 | 1.03 | 915840 | 3.8425 | |
| | 3.5727 | 0.03 | 992160 | 3.8434 | |
| | 3.5518 | 1.03 | 1068480 | 3.8435 | |
| | 3.5346 | 0.03 | 1144800 | 3.8455 | |
| | 3.5247 | 1.03 | 1221120 | 3.8466 | |
| | 3.5068 | 0.03 | 1297440 | 3.8471 | |
| | 3.4938 | 1.03 | 1373760 | 3.8493 | |
| | 3.4788 | 0.03 | 1450080 | 3.8510 | |
| | 3.4741 | 1.03 | 1526400 | 3.8531 | |
| | 3.4643 | 0.03 | 1602720 | 3.8544 | |
| | 3.4558 | 1.03 | 1679040 | 3.8559 | |
| | 3.4469 | 0.03 | 1755360 | 3.8578 | |
| | 3.437 | 0.03 | 1831680 | 3.8588 | |
| | 3.4233 | 0.03 | 1908000 | 3.8603 | |
| | 3.4114 | 1.03 | 1984320 | 3.8629 | |
| | 3.3993 | 0.03 | 2060640 | 3.8634 | |
| | 3.3883 | 1.03 | 2136960 | 3.8644 | |
| | 3.3801 | 0.03 | 2213280 | 3.8647 | |
| | 3.3644 | 1.03 | 2289600 | 3.8664 | |
| | 3.3534 | 0.03 | 2365920 | 3.8687 | |
| | 3.3476 | 1.03 | 2442240 | 3.8687 | |
| | 3.3359 | 0.03 | 2518560 | 3.8693 | |
| | 3.3257 | 0.03 | 2594880 | 3.8694 | |
| | 3.3153 | 1.03 | 2671200 | 3.8704 | |
| | 3.3126 | 0.03 | 2747520 | 3.8697 | |
| | 3.3042 | 1.03 | 2823840 | 3.8697 | |
| | 3.2995 | 0.03 | 2900160 | 3.8691 | |
| | 3.297 | 0.03 | 2976480 | 3.8675 | |
| | 3.2901 | 1.02 | 3052726 | 3.8658 | |
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|
| ### Framework versions |
|
|
| - Transformers 4.33.3 |
| - Pytorch 2.0.1 |
| - Datasets 2.12.0 |
| - Tokenizers 0.13.3 |
|
|
