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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_nodefs-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_nodefs-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: 0.2403
## 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 |
|:-------------:|:-------:|:-----:|:---------------:|
| 0.6881 | 0.2002 | 721 | 0.4926 |
| 0.5104 | 0.4003 | 1442 | 0.4505 |
| 0.4353 | 0.6005 | 2163 | 0.4146 |
| 0.4206 | 0.8007 | 2884 | 0.3981 |
| 0.3977 | 1.0008 | 3605 | 0.3817 |
| 0.3672 | 1.2010 | 4326 | 0.3654 |
| 0.3603 | 1.4012 | 5047 | 0.3605 |
| 0.3498 | 1.6013 | 5768 | 0.3574 |
| 0.351 | 1.8015 | 6489 | 0.3504 |
| 0.3469 | 2.0017 | 7210 | 0.3429 |
| 0.3255 | 2.2018 | 7931 | 0.3355 |
| 0.3206 | 2.4020 | 8652 | 0.3390 |
| 0.3164 | 2.6022 | 9373 | 0.3182 |
| 0.3129 | 2.8023 | 10094 | 0.3280 |
| 0.3136 | 3.0025 | 10815 | 0.3185 |
| 0.2888 | 3.2027 | 11536 | 0.3133 |
| 0.2865 | 3.4028 | 12257 | 0.3089 |
| 0.2874 | 3.6030 | 12978 | 0.3072 |
| 0.287 | 3.8032 | 13699 | 0.3069 |
| 0.2851 | 4.0033 | 14420 | 0.2991 |
| 0.2627 | 4.2035 | 15141 | 0.2995 |
| 0.264 | 4.4037 | 15862 | 0.3018 |
| 0.2632 | 4.6038 | 16583 | 0.2958 |
| 0.2643 | 4.8040 | 17304 | 0.2872 |
| 0.2633 | 5.0042 | 18025 | 0.2877 |
| 0.2375 | 5.2043 | 18746 | 0.2845 |
| 0.2405 | 5.4045 | 19467 | 0.2876 |
| 0.2409 | 5.6047 | 20188 | 0.2808 |
| 0.2418 | 5.8048 | 20909 | 0.2773 |
| 0.2424 | 6.0050 | 21630 | 0.2718 |
| 0.2217 | 6.2052 | 22351 | 0.2762 |
| 0.2205 | 6.4053 | 23072 | 0.2732 |
| 0.221 | 6.6055 | 23793 | 0.2692 |
| 0.222 | 6.8057 | 24514 | 0.2667 |
| 0.2203 | 7.0058 | 25235 | 0.2676 |
| 0.2053 | 7.2060 | 25956 | 0.2639 |
| 0.2015 | 7.4062 | 26677 | 0.2596 |
| 0.2006 | 7.6063 | 27398 | 0.2549 |
| 0.1982 | 7.8065 | 28119 | 0.2545 |
| 0.1982 | 8.0067 | 28840 | 0.2570 |
| 0.1764 | 8.2068 | 29561 | 0.2501 |
| 0.1799 | 8.4070 | 30282 | 0.2530 |
| 0.1796 | 8.6072 | 31003 | 0.2462 |
| 0.1801 | 8.8073 | 31724 | 0.2465 |
| 0.1769 | 9.0075 | 32445 | 0.2489 |
| 0.1565 | 9.2077 | 33166 | 0.2462 |
| 0.1569 | 9.4078 | 33887 | 0.2463 |
| 0.1594 | 9.6080 | 34608 | 0.2465 |
| 0.1605 | 9.8082 | 35329 | 0.2409 |
| 0.1583 | 10.0083 | 36050 | 0.2427 |
| 0.1389 | 10.2085 | 36771 | 0.2476 |
| 0.1378 | 10.4087 | 37492 | 0.2445 |
| 0.1395 | 10.6088 | 38213 | 0.2436 |
| 0.14 | 10.8090 | 38934 | 0.2418 |
| 0.1375 | 11.0092 | 39655 | 0.2412 |
| 0.1262 | 11.2093 | 40376 | 0.2433 |
| 0.1231 | 11.4095 | 41097 | 0.2439 |
| 0.124 | 11.6097 | 41818 | 0.2440 |
| 0.1233 | 11.8098 | 42539 | 0.2403 |
### Framework versions
- PEFT 0.14.0
- Transformers 4.47.0
- Pytorch 2.5.1+cu124
- Datasets 3.2.0
- Tokenizers 0.21.0 |