95 lines
3.3 KiB
Markdown
95 lines
3.3 KiB
Markdown
---
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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-0
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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-0
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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: 3.8623
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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: 0
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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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| 4.2256 | 0.03 | 76320 | 4.1939 |
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| 4.0197 | 1.03 | 152640 | 4.0263 |
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| 3.9124 | 0.03 | 228960 | 3.9521 |
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| 3.8474 | 1.03 | 305280 | 3.9113 |
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| 3.7939 | 0.03 | 381600 | 3.8862 |
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| 3.7531 | 1.03 | 457920 | 3.8701 |
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| 3.7234 | 0.03 | 534240 | 3.8589 |
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| 3.6922 | 1.03 | 610560 | 3.8521 |
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| 3.6629 | 0.03 | 686880 | 3.8485 |
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| 3.6356 | 1.03 | 763200 | 3.8451 |
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| 3.6128 | 0.03 | 839520 | 3.8436 |
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| 3.5929 | 1.03 | 915840 | 3.8429 |
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| 3.574 | 0.03 | 992160 | 3.8428 |
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| 3.5508 | 1.03 | 1068480 | 3.8433 |
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| 3.5355 | 0.03 | 1144800 | 3.8435 |
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| 3.5278 | 1.03 | 1221120 | 3.8453 |
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| 3.5109 | 0.03 | 1297440 | 3.8459 |
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| 3.4986 | 0.03 | 1373760 | 3.8483 |
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| 3.4819 | 1.03 | 1450080 | 3.8498 |
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| 3.4765 | 0.03 | 1526400 | 3.8518 |
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| 3.4654 | 0.03 | 1602720 | 3.8523 |
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| 3.4555 | 1.03 | 1679040 | 3.8527 |
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| 3.4499 | 0.03 | 1755360 | 3.8555 |
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| 3.4399 | 0.03 | 1831680 | 3.8558 |
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| 3.4253 | 0.03 | 1908000 | 3.8577 |
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| 3.4113 | 1.03 | 1984320 | 3.8580 |
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| 3.4005 | 0.03 | 2060640 | 3.8599 |
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| 3.3919 | 1.03 | 2136960 | 3.8617 |
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| 3.3804 | 0.03 | 2213280 | 3.8617 |
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| 3.3655 | 0.03 | 2289600 | 3.8638 |
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| 3.3548 | 1.03 | 2365920 | 3.8634 |
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| 3.353 | 0.03 | 2442240 | 3.8643 |
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| 3.3392 | 1.03 | 2518560 | 3.8654 |
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| 3.3291 | 0.03 | 2594880 | 3.8651 |
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| 3.3208 | 1.03 | 2671200 | 3.8650 |
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| 3.3177 | 0.03 | 2747520 | 3.8656 |
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| 3.3077 | 0.03 | 2823840 | 3.8655 |
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| 3.3017 | 0.03 | 2900160 | 3.8646 |
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| 3.3002 | 1.03 | 2976480 | 3.8635 |
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| 3.2939 | 0.02 | 3052726 | 3.8623 |
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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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