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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-v2-lemma_object_small-deepseek-coder-1.3b-base-ddp-8lr-v2
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-v2-lemma_object_small-deepseek-coder-1.3b-base-ddp-8lr-v2
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: 0.2634
## 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 |
|:-------------:|:-------:|:-----:|:---------------:|
| 0.5858 | 0.2001 | 720 | 0.4896 |
| 0.4652 | 0.4001 | 1440 | 0.4362 |
| 0.4072 | 0.6002 | 2160 | 0.4134 |
| 0.3941 | 0.8002 | 2880 | 0.3971 |
| 0.3765 | 1.0003 | 3600 | 0.3855 |
| 0.3457 | 1.2003 | 4320 | 0.3746 |
| 0.3401 | 1.4004 | 5040 | 0.3664 |
| 0.3392 | 1.6004 | 5760 | 0.3655 |
| 0.3354 | 1.8005 | 6480 | 0.3511 |
| 0.3286 | 2.0006 | 7200 | 0.3507 |
| 0.3095 | 2.2006 | 7920 | 0.3500 |
| 0.3046 | 2.4007 | 8640 | 0.3373 |
| 0.3004 | 2.6007 | 9360 | 0.3278 |
| 0.2993 | 2.8008 | 10080 | 0.3210 |
| 0.3009 | 3.0008 | 10800 | 0.3270 |
| 0.2759 | 3.2009 | 11520 | 0.3232 |
| 0.2782 | 3.4009 | 12240 | 0.3173 |
| 0.2768 | 3.6010 | 12960 | 0.3180 |
| 0.276 | 3.8011 | 13680 | 0.3124 |
| 0.2772 | 4.0011 | 14400 | 0.3027 |
| 0.2495 | 4.2012 | 15120 | 0.3122 |
| 0.2575 | 4.4012 | 15840 | 0.3063 |
| 0.2525 | 4.6013 | 16560 | 0.2970 |
| 0.2586 | 4.8013 | 17280 | 0.3007 |
| 0.2518 | 5.0014 | 18000 | 0.3017 |
| 0.2297 | 5.2014 | 18720 | 0.2969 |
| 0.2316 | 5.4015 | 19440 | 0.2911 |
| 0.2355 | 5.6016 | 20160 | 0.2951 |
| 0.2358 | 5.8016 | 20880 | 0.2850 |
| 0.2308 | 6.0017 | 21600 | 0.2823 |
| 0.2135 | 6.2017 | 22320 | 0.2825 |
| 0.2151 | 6.4018 | 23040 | 0.2798 |
| 0.2143 | 6.6018 | 23760 | 0.2780 |
| 0.2131 | 6.8019 | 24480 | 0.2756 |
| 0.2126 | 7.0019 | 25200 | 0.2703 |
| 0.1967 | 7.2020 | 25920 | 0.2741 |
| 0.1922 | 7.4021 | 26640 | 0.2734 |
| 0.1928 | 7.6021 | 27360 | 0.2694 |
| 0.1931 | 7.8022 | 28080 | 0.2635 |
| 0.1958 | 8.0022 | 28800 | 0.2680 |
| 0.1732 | 8.2023 | 29520 | 0.2659 |
| 0.1711 | 8.4023 | 30240 | 0.2651 |
| 0.1736 | 8.6024 | 30960 | 0.2650 |
| 0.172 | 8.8024 | 31680 | 0.2565 |
| 0.1752 | 9.0025 | 32400 | 0.2579 |
| 0.1521 | 9.2026 | 33120 | 0.2709 |
| 0.1519 | 9.4026 | 33840 | 0.2620 |
| 0.1569 | 9.6027 | 34560 | 0.2624 |
| 0.1548 | 9.8027 | 35280 | 0.2566 |
| 0.152 | 10.0028 | 36000 | 0.2577 |
| 0.1338 | 10.2028 | 36720 | 0.2610 |
| 0.1353 | 10.4029 | 37440 | 0.2582 |
| 0.1346 | 10.6029 | 38160 | 0.2583 |
| 0.1347 | 10.8030 | 38880 | 0.2576 |
| 0.1361 | 11.0031 | 39600 | 0.2593 |
| 0.1219 | 11.2031 | 40320 | 0.2644 |
| 0.1203 | 11.4032 | 41040 | 0.2636 |
| 0.1188 | 11.6032 | 41760 | 0.2645 |
| 0.1186 | 11.8033 | 42480 | 0.2634 |
### Framework versions
- PEFT 0.14.0
- Transformers 4.47.0
- Pytorch 2.5.1+cu124
- Datasets 3.2.0
- Tokenizers 0.21.0 |