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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: 0.2436
## 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 |
|:-------------:|:-------:|:-----:|:---------------:|
| 0.6234 | 0.2002 | 721 | 0.4560 |
| 0.4715 | 0.4003 | 1442 | 0.4156 |
| 0.4128 | 0.6005 | 2163 | 0.3940 |
| 0.4006 | 0.8007 | 2884 | 0.3762 |
| 0.3801 | 1.0008 | 3605 | 0.3659 |
| 0.3524 | 1.2010 | 4326 | 0.3581 |
| 0.3464 | 1.4012 | 5047 | 0.3553 |
| 0.3381 | 1.6013 | 5768 | 0.3448 |
| 0.3394 | 1.8015 | 6489 | 0.3364 |
| 0.3344 | 2.0017 | 7210 | 0.3235 |
| 0.3158 | 2.2018 | 7931 | 0.3265 |
| 0.3101 | 2.4020 | 8652 | 0.3250 |
| 0.3068 | 2.6022 | 9373 | 0.3124 |
| 0.3043 | 2.8023 | 10094 | 0.3124 |
| 0.3069 | 3.0025 | 10815 | 0.3118 |
| 0.281 | 3.2027 | 11536 | 0.3095 |
| 0.2813 | 3.4028 | 12257 | 0.3043 |
| 0.2782 | 3.6030 | 12978 | 0.2970 |
| 0.2806 | 3.8032 | 13699 | 0.2969 |
| 0.2779 | 4.0033 | 14420 | 0.3016 |
| 0.2563 | 4.2035 | 15141 | 0.2922 |
| 0.2569 | 4.4037 | 15862 | 0.2853 |
| 0.2574 | 4.6038 | 16583 | 0.2868 |
| 0.2571 | 4.8040 | 17304 | 0.2862 |
| 0.2587 | 5.0042 | 18025 | 0.2851 |
| 0.2332 | 5.2043 | 18746 | 0.2777 |
| 0.235 | 5.4045 | 19467 | 0.2706 |
| 0.2341 | 5.6047 | 20188 | 0.2777 |
| 0.2369 | 5.8048 | 20909 | 0.2760 |
| 0.2376 | 6.0050 | 21630 | 0.2682 |
| 0.2166 | 6.2052 | 22351 | 0.2712 |
| 0.2159 | 6.4053 | 23072 | 0.2671 |
| 0.216 | 6.6055 | 23793 | 0.2641 |
| 0.2168 | 6.8057 | 24514 | 0.2650 |
| 0.2152 | 7.0058 | 25235 | 0.2621 |
| 0.2006 | 7.2060 | 25956 | 0.2604 |
| 0.1981 | 7.4062 | 26677 | 0.2534 |
| 0.1975 | 7.6063 | 27398 | 0.2504 |
| 0.196 | 7.8065 | 28119 | 0.2552 |
| 0.195 | 8.0067 | 28840 | 0.2576 |
| 0.1744 | 8.2068 | 29561 | 0.2524 |
| 0.1769 | 8.4070 | 30282 | 0.2472 |
| 0.1763 | 8.6072 | 31003 | 0.2470 |
| 0.1761 | 8.8073 | 31724 | 0.2454 |
| 0.1749 | 9.0075 | 32445 | 0.2493 |
| 0.1534 | 9.2077 | 33166 | 0.2450 |
| 0.1552 | 9.4078 | 33887 | 0.2438 |
| 0.1557 | 9.6080 | 34608 | 0.2457 |
| 0.1576 | 9.8082 | 35329 | 0.2439 |
| 0.1555 | 10.0083 | 36050 | 0.2442 |
| 0.1361 | 10.2085 | 36771 | 0.2490 |
| 0.1355 | 10.4087 | 37492 | 0.2447 |
| 0.1382 | 10.6088 | 38213 | 0.2399 |
| 0.1379 | 10.8090 | 38934 | 0.2413 |
| 0.1361 | 11.0092 | 39655 | 0.2444 |
| 0.1242 | 11.2093 | 40376 | 0.2459 |
| 0.1206 | 11.4095 | 41097 | 0.2451 |
| 0.1225 | 11.6097 | 41818 | 0.2465 |
| 0.122 | 11.8098 | 42539 | 0.2436 |
### Framework versions
- PEFT 0.14.0
- Transformers 4.47.0
- Pytorch 2.5.1+cu124
- Datasets 3.2.0
- Tokenizers 0.21.0 |