---
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-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-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: 0.2570

## 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: 6
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step  | Validation Loss |
|:-------------:|:-----:|:-----:|:---------------:|
| 0.4506        | 0.2   | 3094  | 0.4509          |
| 0.4176        | 0.4   | 6188  | 0.4119          |
| 0.4028        | 0.6   | 9282  | 0.4009          |
| 0.3903        | 0.8   | 12376 | 0.3867          |
| 0.3791        | 1.0   | 15470 | 0.3844          |
| 0.3728        | 1.2   | 18564 | 0.3752          |
| 0.3652        | 1.4   | 21658 | 0.3608          |
| 0.3604        | 1.6   | 24752 | 0.3574          |
| 0.3549        | 1.8   | 27846 | 0.3554          |
| 0.3491        | 2.0   | 30940 | 0.3493          |
| 0.3411        | 2.2   | 34034 | 0.3406          |
| 0.3369        | 2.4   | 37128 | 0.3315          |
| 0.3304        | 2.6   | 40222 | 0.3313          |
| 0.3269        | 2.8   | 43316 | 0.3309          |
| 0.3229        | 3.0   | 46410 | 0.3285          |
| 0.3128        | 3.2   | 49504 | 0.3141          |
| 0.3128        | 3.4   | 52598 | 0.3127          |
| 0.3059        | 3.6   | 55692 | 0.3097          |
| 0.3047        | 3.8   | 58786 | 0.3038          |
| 0.3003        | 4.0   | 61880 | 0.2949          |
| 0.2881        | 4.2   | 64974 | 0.2886          |
| 0.2838        | 4.4   | 68068 | 0.2920          |
| 0.2821        | 4.6   | 71162 | 0.2878          |
| 0.2735        | 4.8   | 74256 | 0.2808          |
| 0.2698        | 5.0   | 77350 | 0.2764          |
| 0.2596        | 5.2   | 80444 | 0.2720          |
| 0.2624        | 5.4   | 83538 | 0.2714          |
| 0.2574        | 5.6   | 86632 | 0.2691          |
| 0.2542        | 5.8   | 89726 | 0.2630          |
| 0.2484        | 6.0   | 92820 | 0.2570          |


### Framework versions

- PEFT 0.14.0
- Transformers 4.47.0
- Pytorch 2.5.1+cu124
- Datasets 3.2.0
- Tokenizers 0.21.0