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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-task1-min_symbols_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-task1-min_symbols_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: 0.2762
## 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 |
|:-------------:|:-------:|:-----:|:---------------:|
| 0.6243 | 0.2001 | 629 | 0.4938 |
| 0.4979 | 0.4001 | 1258 | 0.4441 |
| 0.4641 | 0.6002 | 1887 | 0.4176 |
| 0.4228 | 0.8003 | 2516 | 0.3982 |
| 0.4125 | 1.0003 | 3145 | 0.3896 |
| 0.3845 | 1.2004 | 3774 | 0.3761 |
| 0.3734 | 1.4004 | 4403 | 0.3638 |
| 0.3667 | 1.6005 | 5032 | 0.3682 |
| 0.365 | 1.8006 | 5661 | 0.3535 |
| 0.3569 | 2.0006 | 6290 | 0.3565 |
| 0.3464 | 2.2007 | 6919 | 0.3436 |
| 0.3342 | 2.4008 | 7548 | 0.3407 |
| 0.3314 | 2.6008 | 8177 | 0.3398 |
| 0.3328 | 2.8009 | 8806 | 0.3322 |
| 0.3311 | 3.0010 | 9435 | 0.3268 |
| 0.3019 | 3.2010 | 10064 | 0.3277 |
| 0.3077 | 3.4011 | 10693 | 0.3209 |
| 0.3044 | 3.6011 | 11322 | 0.3151 |
| 0.3031 | 3.8012 | 11951 | 0.3119 |
| 0.303 | 4.0013 | 12580 | 0.3147 |
| 0.2844 | 4.2013 | 13209 | 0.3159 |
| 0.2787 | 4.4014 | 13838 | 0.3069 |
| 0.2853 | 4.6015 | 14467 | 0.3091 |
| 0.2786 | 4.8015 | 15096 | 0.3047 |
| 0.2806 | 5.0016 | 15725 | 0.3010 |
| 0.2636 | 5.2017 | 16354 | 0.3013 |
| 0.2571 | 5.4017 | 16983 | 0.3005 |
| 0.2576 | 5.6018 | 17612 | 0.2984 |
| 0.2593 | 5.8018 | 18241 | 0.2912 |
| 0.2605 | 6.0019 | 18870 | 0.2863 |
| 0.2479 | 6.2020 | 19499 | 0.2930 |
| 0.2367 | 6.4020 | 20128 | 0.2900 |
| 0.2377 | 6.6021 | 20757 | 0.2853 |
| 0.2361 | 6.8022 | 21386 | 0.2824 |
| 0.2408 | 7.0022 | 22015 | 0.2781 |
| 0.2105 | 7.2023 | 22644 | 0.2803 |
| 0.2126 | 7.4024 | 23273 | 0.2872 |
| 0.218 | 7.6024 | 23902 | 0.2805 |
| 0.2173 | 7.8025 | 24531 | 0.2750 |
| 0.2152 | 8.0025 | 25160 | 0.2763 |
| 0.1949 | 8.2026 | 25789 | 0.2818 |
| 0.192 | 8.4027 | 26418 | 0.2741 |
| 0.198 | 8.6027 | 27047 | 0.2737 |
| 0.1948 | 8.8028 | 27676 | 0.2730 |
| 0.1971 | 9.0029 | 28305 | 0.2681 |
| 0.1856 | 9.2029 | 28934 | 0.2743 |
| 0.1747 | 9.4030 | 29563 | 0.2687 |
| 0.1758 | 9.6031 | 30192 | 0.2720 |
| 0.1761 | 9.8031 | 30821 | 0.2719 |
| 0.175 | 10.0032 | 31450 | 0.2684 |
| 0.1532 | 10.2032 | 32079 | 0.2771 |
| 0.1557 | 10.4033 | 32708 | 0.2764 |
| 0.1561 | 10.6034 | 33337 | 0.2758 |
| 0.1565 | 10.8034 | 33966 | 0.2695 |
| 0.1556 | 11.0035 | 34595 | 0.2728 |
| 0.1418 | 11.2036 | 35224 | 0.2780 |
| 0.1395 | 11.4036 | 35853 | 0.2776 |
| 0.1392 | 11.6037 | 36482 | 0.2811 |
| 0.1387 | 11.8038 | 37111 | 0.2762 |
### Framework versions
- PEFT 0.14.0
- Transformers 4.47.0
- Pytorch 2.5.1+cu124
- Datasets 3.2.0
- Tokenizers 0.21.0 |