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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_notypes-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_notypes-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: 0.2817
## 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 |
|:-------------:|:-------:|:-----:|:---------------:|
| 0.6176 | 0.2001 | 720 | 0.5116 |
| 0.4965 | 0.4001 | 1440 | 0.4646 |
| 0.4307 | 0.6002 | 2160 | 0.4362 |
| 0.4144 | 0.8002 | 2880 | 0.4168 |
| 0.3977 | 1.0003 | 3600 | 0.4030 |
| 0.3632 | 1.2003 | 4320 | 0.3949 |
| 0.3596 | 1.4004 | 5040 | 0.3871 |
| 0.3571 | 1.6004 | 5760 | 0.3772 |
| 0.3509 | 1.8005 | 6480 | 0.3702 |
| 0.3437 | 2.0006 | 7200 | 0.3618 |
| 0.3249 | 2.2006 | 7920 | 0.3660 |
| 0.3214 | 2.4007 | 8640 | 0.3525 |
| 0.3149 | 2.6007 | 9360 | 0.3490 |
| 0.316 | 2.8008 | 10080 | 0.3403 |
| 0.315 | 3.0008 | 10800 | 0.3452 |
| 0.288 | 3.2009 | 11520 | 0.3454 |
| 0.2919 | 3.4009 | 12240 | 0.3368 |
| 0.2907 | 3.6010 | 12960 | 0.3342 |
| 0.2876 | 3.8011 | 13680 | 0.3282 |
| 0.2898 | 4.0011 | 14400 | 0.3280 |
| 0.2606 | 4.2012 | 15120 | 0.3285 |
| 0.2691 | 4.4012 | 15840 | 0.3259 |
| 0.2646 | 4.6013 | 16560 | 0.3245 |
| 0.2695 | 4.8013 | 17280 | 0.3110 |
| 0.263 | 5.0014 | 18000 | 0.3142 |
| 0.2415 | 5.2014 | 18720 | 0.3215 |
| 0.2428 | 5.4015 | 19440 | 0.3047 |
| 0.2448 | 5.6016 | 20160 | 0.3056 |
| 0.2458 | 5.8016 | 20880 | 0.3039 |
| 0.2416 | 6.0017 | 21600 | 0.3001 |
| 0.2236 | 6.2017 | 22320 | 0.3052 |
| 0.2247 | 6.4018 | 23040 | 0.2968 |
| 0.2232 | 6.6018 | 23760 | 0.2951 |
| 0.2231 | 6.8019 | 24480 | 0.2924 |
| 0.2207 | 7.0019 | 25200 | 0.2878 |
| 0.2058 | 7.2020 | 25920 | 0.2924 |
| 0.201 | 7.4021 | 26640 | 0.2952 |
| 0.2004 | 7.6021 | 27360 | 0.2898 |
| 0.2016 | 7.8022 | 28080 | 0.2772 |
| 0.205 | 8.0022 | 28800 | 0.2871 |
| 0.1808 | 8.2023 | 29520 | 0.2853 |
| 0.179 | 8.4023 | 30240 | 0.2801 |
| 0.1819 | 8.6024 | 30960 | 0.2835 |
| 0.1791 | 8.8024 | 31680 | 0.2744 |
| 0.1821 | 9.0025 | 32400 | 0.2749 |
| 0.1582 | 9.2026 | 33120 | 0.2867 |
| 0.1587 | 9.4026 | 33840 | 0.2798 |
| 0.1632 | 9.6027 | 34560 | 0.2796 |
| 0.161 | 9.8027 | 35280 | 0.2744 |
| 0.1586 | 10.0028 | 36000 | 0.2733 |
| 0.1397 | 10.2028 | 36720 | 0.2841 |
| 0.1411 | 10.4029 | 37440 | 0.2834 |
| 0.1411 | 10.6029 | 38160 | 0.2785 |
| 0.1419 | 10.8030 | 38880 | 0.2800 |
| 0.1425 | 11.0031 | 39600 | 0.2796 |
| 0.1274 | 11.2031 | 40320 | 0.2845 |
| 0.1258 | 11.4032 | 41040 | 0.2793 |
| 0.1244 | 11.6032 | 41760 | 0.2816 |
| 0.1229 | 11.8033 | 42480 | 0.2817 |
### Framework versions
- PEFT 0.14.0
- Transformers 4.47.0
- Pytorch 2.5.1+cu124
- Datasets 3.2.0
- Tokenizers 0.21.0 |