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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_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_full_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: 0.2454
## 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 |
|:-------------:|:-----:|:------:|:---------------:|
| 0.4873 | 0.2 | 3094 | 0.4845 |
| 0.4521 | 0.4 | 6188 | 0.4463 |
| 0.4379 | 0.6 | 9282 | 0.4339 |
| 0.4256 | 0.8 | 12376 | 0.4230 |
| 0.4164 | 1.0 | 15470 | 0.4166 |
| 0.4099 | 1.2 | 18564 | 0.4037 |
| 0.4011 | 1.4 | 21658 | 0.4006 |
| 0.3985 | 1.6 | 24752 | 0.3908 |
| 0.3935 | 1.8 | 27846 | 0.3863 |
| 0.388 | 2.0 | 30940 | 0.3882 |
| 0.3787 | 2.2 | 34034 | 0.3869 |
| 0.3788 | 2.4 | 37128 | 0.3700 |
| 0.3724 | 2.6 | 40222 | 0.3694 |
| 0.3718 | 2.8 | 43316 | 0.3681 |
| 0.368 | 3.0 | 46410 | 0.3615 |
| 0.3601 | 3.2 | 49504 | 0.3575 |
| 0.3592 | 3.4 | 52598 | 0.3544 |
| 0.3541 | 3.6 | 55692 | 0.3536 |
| 0.3552 | 3.8 | 58786 | 0.3493 |
| 0.3517 | 4.0 | 61880 | 0.3444 |
| 0.3401 | 4.2 | 64974 | 0.3432 |
| 0.3357 | 4.4 | 68068 | 0.3358 |
| 0.3368 | 4.6 | 71162 | 0.3340 |
| 0.3274 | 4.8 | 74256 | 0.3342 |
| 0.3264 | 5.0 | 77350 | 0.3287 |
| 0.3193 | 5.2 | 80444 | 0.3240 |
| 0.3209 | 5.4 | 83538 | 0.3155 |
| 0.3186 | 5.6 | 86632 | 0.3242 |
| 0.316 | 5.8 | 89726 | 0.3222 |
| 0.3097 | 6.0 | 92820 | 0.3105 |
| 0.2982 | 6.2 | 95914 | 0.3095 |
| 0.2996 | 6.4 | 99008 | 0.3094 |
| 0.2983 | 6.6 | 102102 | 0.3070 |
| 0.3019 | 6.8 | 105196 | 0.3034 |
| 0.2914 | 7.0 | 108290 | 0.2960 |
| 0.2805 | 7.2 | 111384 | 0.2988 |
| 0.2776 | 7.4 | 114478 | 0.2953 |
| 0.2821 | 7.6 | 117572 | 0.2906 |
| 0.2792 | 7.8 | 120666 | 0.2876 |
| 0.2786 | 8.0 | 123760 | 0.2857 |
| 0.2617 | 8.2 | 126854 | 0.2825 |
| 0.2643 | 8.4 | 129948 | 0.2771 |
| 0.2618 | 8.6 | 133042 | 0.2797 |
| 0.2641 | 8.8 | 136136 | 0.2778 |
| 0.262 | 9.0 | 139230 | 0.2736 |
| 0.2492 | 9.2 | 142324 | 0.2689 |
| 0.2459 | 9.4 | 145418 | 0.2651 |
| 0.2421 | 9.6 | 148512 | 0.2658 |
| 0.2444 | 9.8 | 151606 | 0.2644 |
| 0.2373 | 10.0 | 154700 | 0.2613 |
| 0.2288 | 10.2 | 157794 | 0.2592 |
| 0.2266 | 10.4 | 160888 | 0.2587 |
| 0.2275 | 10.6 | 163982 | 0.2539 |
| 0.2236 | 10.8 | 167076 | 0.2532 |
| 0.2223 | 11.0 | 170170 | 0.2489 |
| 0.213 | 11.2 | 173264 | 0.2506 |
| 0.2086 | 11.4 | 176358 | 0.2493 |
| 0.2069 | 11.6 | 179452 | 0.2463 |
| 0.2031 | 11.8 | 182546 | 0.2450 |
| 0.2086 | 12.0 | 185640 | 0.2454 |
### Framework versions
- PEFT 0.14.0
- Transformers 4.47.0
- Pytorch 2.5.1+cu124
- Datasets 3.2.0
- Tokenizers 0.21.0 |