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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_full_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_full_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: 0.2426
## 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 |
|:-------------:|:-----:|:------:|:---------------:|
| 0.5096 | 0.2 | 3094 | 0.5142 |
| 0.4699 | 0.4 | 6188 | 0.4815 |
| 0.4503 | 0.6 | 9282 | 0.4479 |
| 0.4359 | 0.8 | 12376 | 0.4406 |
| 0.4266 | 1.0 | 15470 | 0.4249 |
| 0.4181 | 1.2 | 18564 | 0.4146 |
| 0.4126 | 1.4 | 21658 | 0.4122 |
| 0.4076 | 1.6 | 24752 | 0.4043 |
| 0.4022 | 1.8 | 27846 | 0.4012 |
| 0.3969 | 2.0 | 30940 | 0.3975 |
| 0.3874 | 2.2 | 34034 | 0.3964 |
| 0.3865 | 2.4 | 37128 | 0.3813 |
| 0.379 | 2.6 | 40222 | 0.3783 |
| 0.3772 | 2.8 | 43316 | 0.3750 |
| 0.3735 | 3.0 | 46410 | 0.3765 |
| 0.3637 | 3.2 | 49504 | 0.3659 |
| 0.3669 | 3.4 | 52598 | 0.3610 |
| 0.3577 | 3.6 | 55692 | 0.3615 |
| 0.3578 | 3.8 | 58786 | 0.3567 |
| 0.3563 | 4.0 | 61880 | 0.3510 |
| 0.3442 | 4.2 | 64974 | 0.3461 |
| 0.3403 | 4.4 | 68068 | 0.3428 |
| 0.3385 | 4.6 | 71162 | 0.3442 |
| 0.3309 | 4.8 | 74256 | 0.3399 |
| 0.3271 | 5.0 | 77350 | 0.3290 |
| 0.3225 | 5.2 | 80444 | 0.3299 |
| 0.3241 | 5.4 | 83538 | 0.3253 |
| 0.321 | 5.6 | 86632 | 0.3258 |
| 0.3168 | 5.8 | 89726 | 0.3225 |
| 0.3117 | 6.0 | 92820 | 0.3182 |
| 0.2992 | 6.2 | 95914 | 0.3187 |
| 0.2985 | 6.4 | 99008 | 0.3104 |
| 0.2975 | 6.6 | 102102 | 0.3072 |
| 0.3021 | 6.8 | 105196 | 0.3018 |
| 0.2921 | 7.0 | 108290 | 0.3012 |
| 0.2807 | 7.2 | 111384 | 0.2967 |
| 0.2758 | 7.4 | 114478 | 0.2962 |
| 0.2807 | 7.6 | 117572 | 0.2932 |
| 0.2786 | 7.8 | 120666 | 0.2901 |
| 0.2778 | 8.0 | 123760 | 0.2846 |
| 0.2632 | 8.2 | 126854 | 0.2863 |
| 0.262 | 8.4 | 129948 | 0.2809 |
| 0.2611 | 8.6 | 133042 | 0.2828 |
| 0.2648 | 8.8 | 136136 | 0.2762 |
| 0.2632 | 9.0 | 139230 | 0.2730 |
| 0.2461 | 9.2 | 142324 | 0.2676 |
| 0.2443 | 9.4 | 145418 | 0.2669 |
| 0.2435 | 9.6 | 148512 | 0.2655 |
| 0.2431 | 9.8 | 151606 | 0.2631 |
| 0.2379 | 10.0 | 154700 | 0.2599 |
| 0.2275 | 10.2 | 157794 | 0.2583 |
| 0.2281 | 10.4 | 160888 | 0.2570 |
| 0.2243 | 10.6 | 163982 | 0.2530 |
| 0.2222 | 10.8 | 167076 | 0.2541 |
| 0.2219 | 11.0 | 170170 | 0.2494 |
| 0.2112 | 11.2 | 173264 | 0.2495 |
| 0.2077 | 11.4 | 176358 | 0.2471 |
| 0.2065 | 11.6 | 179452 | 0.2451 |
| 0.2029 | 11.8 | 182546 | 0.2432 |
| 0.2073 | 12.0 | 185640 | 0.2426 |
### Framework versions
- PEFT 0.14.0
- Transformers 4.47.0
- Pytorch 2.5.1+cu124
- Datasets 3.2.0
- Tokenizers 0.21.0 |