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--- |
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tags: |
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- generated_from_trainer |
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model-index: |
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- name: binding-c-command-transformer-1 |
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results: [] |
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--- |
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You |
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should probably proofread and complete it, then remove this comment. --> |
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# binding-c-command-transformer-1 |
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This model is a fine-tuned version of [](https://huggingface.co/) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 3.8597 |
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## Model description |
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More information needed |
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## Intended uses & limitations |
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More information needed |
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## Training and evaluation data |
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More information needed |
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## Training procedure |
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### Training hyperparameters |
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The following hyperparameters were used during training: |
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- learning_rate: 5e-05 |
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- train_batch_size: 32 |
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- eval_batch_size: 32 |
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- seed: 1 |
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
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- lr_scheduler_type: linear |
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- training_steps: 3052726 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:-----:|:-------:|:---------------:| |
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| 4.2293 | 0.03 | 76320 | 4.1984 | |
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| 4.0213 | 1.03 | 152640 | 4.0267 | |
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| 3.9115 | 0.03 | 228960 | 3.9520 | |
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| 3.8476 | 1.03 | 305280 | 3.9106 | |
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| 3.7931 | 0.03 | 381600 | 3.8853 | |
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| 3.7539 | 1.03 | 457920 | 3.8691 | |
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| 3.7232 | 0.03 | 534240 | 3.8591 | |
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| 3.692 | 1.03 | 610560 | 3.8517 | |
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| 3.661 | 0.03 | 686880 | 3.8471 | |
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| 3.6361 | 1.03 | 763200 | 3.8443 | |
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| 3.6111 | 0.03 | 839520 | 3.8425 | |
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| 3.5927 | 1.03 | 915840 | 3.8419 | |
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| 3.5752 | 0.03 | 992160 | 3.8422 | |
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| 3.5536 | 0.03 | 1068480 | 3.8426 | |
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| 3.5367 | 1.03 | 1144800 | 3.8429 | |
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| 3.5295 | 0.03 | 1221120 | 3.8444 | |
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| 3.5108 | 1.03 | 1297440 | 3.8454 | |
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| 3.4985 | 0.03 | 1373760 | 3.8466 | |
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| 3.4845 | 1.03 | 1450080 | 3.8483 | |
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| 3.4798 | 0.03 | 1526400 | 3.8490 | |
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| 3.4686 | 0.03 | 1602720 | 3.8515 | |
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| 3.4598 | 1.03 | 1679040 | 3.8526 | |
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| 3.4531 | 0.03 | 1755360 | 3.8545 | |
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| 3.4432 | 0.03 | 1831680 | 3.8555 | |
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| 3.4275 | 0.03 | 1908000 | 3.8577 | |
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| 3.4146 | 1.03 | 1984320 | 3.8596 | |
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| 3.4027 | 0.03 | 2060640 | 3.8593 | |
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| 3.3953 | 1.03 | 2136960 | 3.8613 | |
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| 3.3835 | 0.03 | 2213280 | 3.8618 | |
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| 3.3678 | 1.03 | 2289600 | 3.8622 | |
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| 3.3576 | 0.03 | 2365920 | 3.8636 | |
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| 3.3555 | 0.03 | 2442240 | 3.8637 | |
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| 3.342 | 1.03 | 2518560 | 3.8640 | |
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| 3.3329 | 0.03 | 2594880 | 3.8641 | |
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| 3.3217 | 0.03 | 2671200 | 3.8650 | |
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| 3.3204 | 1.03 | 2747520 | 3.8637 | |
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| 3.311 | 0.03 | 2823840 | 3.8634 | |
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| 3.3076 | 1.03 | 2900160 | 3.8623 | |
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| 3.305 | 0.03 | 2976480 | 3.8615 | |
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| 3.297 | 1.02 | 3052726 | 3.8597 | |
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### Framework versions |
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- Transformers 4.33.3 |
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- Pytorch 2.0.1 |
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- Datasets 2.12.0 |
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- Tokenizers 0.13.3 |
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