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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-lemma_command_full-deepseek-coder-1.3b-base-ddp-8lr
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-lemma_command_full-deepseek-coder-1.3b-base-ddp-8lr
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: 0.4320
## 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 |
|:-------------:|:-----:|:------:|:---------------:|
| 0.7149 | 0.2 | 2121 | 0.6754 |
| 0.684 | 0.4 | 4242 | 0.6408 |
| 0.6664 | 0.6 | 6363 | 0.6271 |
| 0.6568 | 0.8 | 8484 | 0.6106 |
| 0.6445 | 1.0 | 10605 | 0.6016 |
| 0.6188 | 1.2 | 12726 | 0.5927 |
| 0.618 | 1.4 | 14847 | 0.5864 |
| 0.6161 | 1.6 | 16968 | 0.5864 |
| 0.6239 | 1.8 | 19089 | 0.5779 |
| 0.6126 | 2.0 | 21210 | 0.5764 |
| 0.5882 | 2.2 | 23331 | 0.5680 |
| 0.5955 | 2.4 | 25452 | 0.5647 |
| 0.5858 | 2.6 | 27573 | 0.5615 |
| 0.5882 | 2.8 | 29694 | 0.5574 |
| 0.5819 | 3.0 | 31815 | 0.5504 |
| 0.5759 | 3.2 | 33936 | 0.5544 |
| 0.5647 | 3.4 | 36057 | 0.5479 |
| 0.5687 | 3.6 | 38178 | 0.5458 |
| 0.5692 | 3.8 | 40299 | 0.5415 |
| 0.5633 | 4.0 | 42420 | 0.5398 |
| 0.5489 | 4.2 | 44541 | 0.5299 |
| 0.5482 | 4.4 | 46662 | 0.5246 |
| 0.5443 | 4.6 | 48783 | 0.5246 |
| 0.5466 | 4.8 | 50904 | 0.5225 |
| 0.5464 | 5.0 | 53025 | 0.5157 |
| 0.5249 | 5.2 | 55146 | 0.5203 |
| 0.5323 | 5.4 | 57267 | 0.5115 |
| 0.5227 | 5.6 | 59388 | 0.5075 |
| 0.5277 | 5.8 | 61509 | 0.5074 |
| 0.5214 | 6.0 | 63630 | 0.5040 |
| 0.5115 | 6.2 | 65751 | 0.4969 |
| 0.5088 | 6.4 | 67872 | 0.4950 |
| 0.511 | 6.6 | 69993 | 0.4912 |
| 0.5097 | 6.8 | 72114 | 0.4892 |
| 0.5024 | 7.0 | 74235 | 0.4877 |
| 0.4842 | 7.2 | 76356 | 0.4860 |
| 0.484 | 7.4 | 78477 | 0.4832 |
| 0.493 | 7.6 | 80598 | 0.4816 |
| 0.4863 | 7.8 | 82719 | 0.4759 |
| 0.4878 | 8.0 | 84840 | 0.4672 |
| 0.4644 | 8.2 | 86961 | 0.4705 |
| 0.4648 | 8.4 | 89082 | 0.4654 |
| 0.4663 | 8.6 | 91203 | 0.4612 |
| 0.4715 | 8.8 | 93324 | 0.4636 |
| 0.4669 | 9.0 | 95445 | 0.4591 |
| 0.4451 | 9.2 | 97566 | 0.4586 |
| 0.4457 | 9.4 | 99687 | 0.4580 |
| 0.4538 | 9.6 | 101808 | 0.4495 |
| 0.4489 | 9.8 | 103929 | 0.4492 |
| 0.4466 | 10.0 | 106050 | 0.4458 |
| 0.4252 | 10.2 | 108171 | 0.4470 |
| 0.4226 | 10.4 | 110292 | 0.4456 |
| 0.4244 | 10.6 | 112413 | 0.4402 |
| 0.4226 | 10.8 | 114534 | 0.4374 |
| 0.4203 | 11.0 | 116655 | 0.4352 |
| 0.4124 | 11.2 | 118776 | 0.4361 |
| 0.4039 | 11.4 | 120897 | 0.4340 |
| 0.405 | 11.6 | 123018 | 0.4321 |
| 0.4083 | 11.8 | 125139 | 0.4314 |
| 0.4025 | 12.0 | 127260 | 0.4320 |
### Framework versions
- PEFT 0.14.0
- Transformers 4.47.0
- Pytorch 2.5.1+cu124
- Datasets 3.2.0
- Tokenizers 0.21.0 |