---
library_name: peft
license: other
base_model: deepseek-ai/deepseek-coder-1.3b-base
tags:
- generated_from_trainer
model-index:
- name: lemexp-processed-task1_min_symbols_lemma_object_small-deepseek-coder-1.3b-base
  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-processed-task1_min_symbols_lemma_object_small-deepseek-coder-1.3b-base

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: 0.2167

## 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: 0.0002
- train_batch_size: 2
- eval_batch_size: 2
- seed: 42
- 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
- lr_scheduler_warmup_steps: 100
- num_epochs: 6
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch  | Step   | Validation Loss |
|:-------------:|:------:|:------:|:---------------:|
| 0.4548        | 0.2000 | 5030   | 0.4143          |
| 0.3861        | 0.4001 | 10060  | 0.3652          |
| 0.3504        | 0.6001 | 15090  | 0.3359          |
| 0.3352        | 0.8001 | 20120  | 0.3129          |
| 0.3186        | 1.0002 | 25150  | 0.3011          |
| 0.2763        | 1.2002 | 30180  | 0.2905          |
| 0.2711        | 1.4002 | 35210  | 0.2776          |
| 0.2579        | 1.6003 | 40240  | 0.2743          |
| 0.2484        | 1.8003 | 45270  | 0.2600          |
| 0.263         | 2.0003 | 50300  | 0.2602          |
| 0.2108        | 2.2003 | 55330  | 0.2580          |
| 0.2026        | 2.4004 | 60360  | 0.2526          |
| 0.2228        | 2.6004 | 65390  | 0.2473          |
| 0.2187        | 2.8004 | 70420  | 0.2387          |
| 0.2053        | 3.0005 | 75450  | 0.2345          |
| 0.1761        | 3.2005 | 80480  | 0.2379          |
| 0.1773        | 3.4005 | 85510  | 0.2323          |
| 0.1689        | 3.6006 | 90540  | 0.2265          |
| 0.1707        | 3.8006 | 95570  | 0.2256          |
| 0.1764        | 4.0006 | 100600 | 0.2197          |
| 0.1377        | 4.2007 | 105630 | 0.2262          |
| 0.1485        | 4.4007 | 110660 | 0.2230          |
| 0.1464        | 4.6007 | 115690 | 0.2161          |
| 0.1521        | 4.8008 | 120720 | 0.2178          |
| 0.1457        | 5.0008 | 125750 | 0.2144          |
| 0.1146        | 5.2008 | 130780 | 0.2221          |
| 0.1187        | 5.4009 | 135810 | 0.2204          |
| 0.1041        | 5.6009 | 140840 | 0.2201          |
| 0.1171        | 5.8009 | 145870 | 0.2167          |


### Framework versions

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