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lemexp-processed-task1_min_symbols_template_small-deepseek-coder-1.3b-base-test
yalhessi/lemexp-processed-task1_min_symbols_template_small-deepseek-coder-1.3b-base-test
lemexp-processed-task1_min_symbols_template_small-deepseek-coder-1.3b-base-test is a machine learning model from yalhessi. Use it for the machine learning task on the model card, and read the license before you ship it in a product. It is set up for peft. The card lists the license as other.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Library
- peft
- License
- other
- Access
- Public
- Created
- Mar 6, 2025
- Updated
- Mar 7, 2025
- SHA
- 8fbf2531
Base models
Model card
From the Hugging Face model README
<!-- 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_template_small-deepseek-coder-1.3b-base-test
This model is a fine-tuned version of deepseek-ai/deepseek-coder-1.3b-base on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.1481
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
- num_epochs: 3
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.3008 | 0.2000 | 5030 | 0.2892 |
| 0.2627 | 0.4001 | 10060 | 0.2511 |
| 0.2327 | 0.6001 | 15090 | 0.2334 |
| 0.2229 | 0.8001 | 20120 | 0.2116 |
| 0.2074 | 1.0002 | 25150 | 0.2014 |
| 0.1832 | 1.2002 | 30180 | 0.1921 |
| 0.1709 | 1.4002 | 35210 | 0.1860 |
| 0.1692 | 1.6003 | 40240 | 0.1758 |
| 0.1559 | 1.8003 | 45270 | 0.1679 |
| 0.1624 | 2.0003 | 50300 | 0.1645 |
| 0.1233 | 2.2003 | 55330 | 0.1600 |
| 0.1206 | 2.4004 | 60360 | 0.1539 |
| 0.1296 | 2.6004 | 65390 | 0.1516 |
| 0.1277 | 2.8004 | 70420 | 0.1481 |
Framework versions
- PEFT 0.14.0
- Transformers 4.47.0
- Pytorch 2.5.1+cu124
- Datasets 3.2.0
- Tokenizers 0.21.0
- Library
- peft
- License
- other
- Created
- Mar 6, 2025
- Updated
- Mar 7, 2025