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---
library_name: peft
license: other
base_model: deepseek-ai/deepseek-coder-1.3b-base
tags:
- generated_from_trainer
model-index:
- name: lemexp-task2-unordered_lemma_object_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-task2-unordered_lemma_object_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: 0.3105
## 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 |
|:-------------:|:-------:|:-----:|:---------------:|
| 0.6401 | 0.2001 | 629 | 0.5142 |
| 0.5205 | 0.4001 | 1258 | 0.4704 |
| 0.4906 | 0.6002 | 1887 | 0.4461 |
| 0.4524 | 0.8003 | 2516 | 0.4227 |
| 0.4408 | 1.0003 | 3145 | 0.4169 |
| 0.4092 | 1.2004 | 3774 | 0.4022 |
| 0.4029 | 1.4004 | 4403 | 0.3971 |
| 0.3947 | 1.6005 | 5032 | 0.3918 |
| 0.3928 | 1.8006 | 5661 | 0.3805 |
| 0.3869 | 2.0006 | 6290 | 0.3856 |
| 0.3748 | 2.2007 | 6919 | 0.3751 |
| 0.3604 | 2.4008 | 7548 | 0.3739 |
| 0.3583 | 2.6008 | 8177 | 0.3759 |
| 0.3624 | 2.8009 | 8806 | 0.3687 |
| 0.3592 | 3.0010 | 9435 | 0.3655 |
| 0.3278 | 3.2010 | 10064 | 0.3649 |
| 0.3336 | 3.4011 | 10693 | 0.3591 |
| 0.3326 | 3.6011 | 11322 | 0.3517 |
| 0.3307 | 3.8012 | 11951 | 0.3525 |
| 0.3311 | 4.0013 | 12580 | 0.3459 |
| 0.3101 | 4.2013 | 13209 | 0.3513 |
| 0.3066 | 4.4014 | 13838 | 0.3417 |
| 0.3124 | 4.6015 | 14467 | 0.3340 |
| 0.3047 | 4.8015 | 15096 | 0.3364 |
| 0.3077 | 5.0016 | 15725 | 0.3315 |
| 0.2902 | 5.2017 | 16354 | 0.3371 |
| 0.2832 | 5.4017 | 16983 | 0.3275 |
| 0.2843 | 5.6018 | 17612 | 0.3241 |
| 0.2858 | 5.8018 | 18241 | 0.3213 |
| 0.2872 | 6.0019 | 18870 | 0.3226 |
| 0.2746 | 6.2020 | 19499 | 0.3203 |
| 0.2627 | 6.4020 | 20128 | 0.3212 |
| 0.2617 | 6.6021 | 20757 | 0.3182 |
| 0.2604 | 6.8022 | 21386 | 0.3146 |
| 0.2684 | 7.0022 | 22015 | 0.3094 |
| 0.2356 | 7.2023 | 22644 | 0.3170 |
| 0.2372 | 7.4024 | 23273 | 0.3104 |
| 0.2414 | 7.6024 | 23902 | 0.3101 |
| 0.2411 | 7.8025 | 24531 | 0.3112 |
| 0.2397 | 8.0025 | 25160 | 0.3114 |
| 0.2185 | 8.2026 | 25789 | 0.3119 |
| 0.2157 | 8.4027 | 26418 | 0.3083 |
| 0.2205 | 8.6027 | 27047 | 0.3015 |
| 0.2188 | 8.8028 | 27676 | 0.2993 |
| 0.2219 | 9.0029 | 28305 | 0.3015 |
| 0.2087 | 9.2029 | 28934 | 0.3043 |
| 0.1966 | 9.4030 | 29563 | 0.3016 |
| 0.1978 | 9.6031 | 30192 | 0.3075 |
| 0.1976 | 9.8031 | 30821 | 0.3023 |
| 0.1979 | 10.0032 | 31450 | 0.3014 |
| 0.1738 | 10.2032 | 32079 | 0.3083 |
| 0.1765 | 10.4033 | 32708 | 0.3082 |
| 0.1764 | 10.6034 | 33337 | 0.3063 |
| 0.1774 | 10.8034 | 33966 | 0.3065 |
| 0.1761 | 11.0035 | 34595 | 0.3052 |
| 0.161 | 11.2036 | 35224 | 0.3102 |
| 0.1584 | 11.4036 | 35853 | 0.3082 |
| 0.1583 | 11.6037 | 36482 | 0.3101 |
| 0.1573 | 11.8038 | 37111 | 0.3105 |
### Framework versions
- PEFT 0.14.0
- Transformers 4.47.0
- Pytorch 2.5.1+cu124
- Datasets 3.2.0
- Tokenizers 0.21.0 |