File size: 4,816 Bytes
286565d |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 |
---
library_name: peft
license: other
base_model: deepseek-ai/deepseek-coder-1.3b-base
tags:
- generated_from_trainer
model-index:
- name: lemexp-task4-option1_small-deepseek-coder-1.3b-base-ddp-8lr
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. -->
# lemexp-task4-option1_small-deepseek-coder-1.3b-base-ddp-8lr
This model is a fine-tuned version of [deepseek-ai/deepseek-coder-1.3b-base](https://huggingface.co/deepseek-ai/deepseek-coder-1.3b-base) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0634
## 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: 0.0008
- train_batch_size: 2
- eval_batch_size: 2
- seed: 42
- distributed_type: multi-GPU
- num_devices: 8
- total_train_batch_size: 16
- total_eval_batch_size: 16
- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 12
- mixed_precision_training: Native AMP
### Training results
| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-------:|:-----:|:---------------:|
| 0.2003 | 0.2001 | 629 | 0.1249 |
| 0.1241 | 0.4001 | 1258 | 0.1045 |
| 0.1127 | 0.6002 | 1887 | 0.1060 |
| 0.1028 | 0.8003 | 2516 | 0.0979 |
| 0.1004 | 1.0003 | 3145 | 0.1018 |
| 0.0966 | 1.2004 | 3774 | 0.0946 |
| 0.0946 | 1.4004 | 4403 | 0.0901 |
| 0.0929 | 1.6005 | 5032 | 0.0855 |
| 0.0924 | 1.8006 | 5661 | 0.0895 |
| 0.0888 | 2.0006 | 6290 | 0.0892 |
| 0.0898 | 2.2007 | 6919 | 0.0878 |
| 0.0869 | 2.4008 | 7548 | 0.0862 |
| 0.0866 | 2.6008 | 8177 | 0.0839 |
| 0.0854 | 2.8009 | 8806 | 0.0835 |
| 0.0854 | 3.0010 | 9435 | 0.0808 |
| 0.0809 | 3.2010 | 10064 | 0.0824 |
| 0.0811 | 3.4011 | 10693 | 0.0800 |
| 0.0799 | 3.6011 | 11322 | 0.0830 |
| 0.0824 | 3.8012 | 11951 | 0.0813 |
| 0.08 | 4.0013 | 12580 | 0.0796 |
| 0.078 | 4.2013 | 13209 | 0.0776 |
| 0.0757 | 4.4014 | 13838 | 0.0733 |
| 0.0771 | 4.6015 | 14467 | 0.0740 |
| 0.0761 | 4.8015 | 15096 | 0.0723 |
| 0.0748 | 5.0016 | 15725 | 0.0774 |
| 0.0756 | 5.2017 | 16354 | 0.0746 |
| 0.0746 | 5.4017 | 16983 | 0.0748 |
| 0.0722 | 5.6018 | 17612 | 0.0728 |
| 0.0731 | 5.8018 | 18241 | 0.0748 |
| 0.072 | 6.0019 | 18870 | 0.0716 |
| 0.071 | 6.2020 | 19499 | 0.0710 |
| 0.0692 | 6.4020 | 20128 | 0.0711 |
| 0.0699 | 6.6021 | 20757 | 0.0699 |
| 0.0689 | 6.8022 | 21386 | 0.0698 |
| 0.0694 | 7.0022 | 22015 | 0.0683 |
| 0.0674 | 7.2023 | 22644 | 0.0695 |
| 0.0666 | 7.4024 | 23273 | 0.0685 |
| 0.0675 | 7.6024 | 23902 | 0.0672 |
| 0.0658 | 7.8025 | 24531 | 0.0672 |
| 0.0658 | 8.0025 | 25160 | 0.0666 |
| 0.0641 | 8.2026 | 25789 | 0.0658 |
| 0.063 | 8.4027 | 26418 | 0.0654 |
| 0.0642 | 8.6027 | 27047 | 0.0655 |
| 0.0633 | 8.8028 | 27676 | 0.0668 |
| 0.0641 | 9.0029 | 28305 | 0.0669 |
| 0.0625 | 9.2029 | 28934 | 0.0661 |
| 0.0615 | 9.4030 | 29563 | 0.0653 |
| 0.0605 | 9.6031 | 30192 | 0.0660 |
| 0.0615 | 9.8031 | 30821 | 0.0648 |
| 0.0613 | 10.0032 | 31450 | 0.0644 |
| 0.0591 | 10.2032 | 32079 | 0.0645 |
| 0.0596 | 10.4033 | 32708 | 0.0638 |
| 0.0593 | 10.6034 | 33337 | 0.0647 |
| 0.0593 | 10.8034 | 33966 | 0.0631 |
| 0.0599 | 11.0035 | 34595 | 0.0634 |
| 0.0584 | 11.2036 | 35224 | 0.0634 |
| 0.0584 | 11.4036 | 35853 | 0.0636 |
| 0.0585 | 11.6037 | 36482 | 0.0635 |
| 0.0574 | 11.8038 | 37111 | 0.0634 |
### Framework versions
- PEFT 0.14.0
- Transformers 4.47.0
- Pytorch 2.5.1+cu124
- Datasets 3.2.0
- Tokenizers 0.21.0 |