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NLP-baseline
UNISG-MCS/NLP-baseline
NLP-baseline is a machine learning model from UNISG-MCS. 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
- May 18, 2025
- Updated
- May 18, 2025
- SHA
- f7f52500
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. -->
NLP-baseline
This model is a fine-tuned version of deepseek-ai/deepseek-coder-7b-instruct on the None dataset. It achieves the following results on the evaluation set:
- Loss: 1.6380
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: 2e-05
- train_batch_size: 2
- eval_batch_size: 2
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 8
- 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 |
|---|---|---|---|
| No log | 1.0 | 300 | 1.7285 |
| 1.8921 | 2.0 | 600 | 1.6559 |
| 1.8921 | 3.0 | 900 | 1.6380 |
Framework versions
- PEFT 0.15.2
- Transformers 4.51.3
- Pytorch 2.7.0+cu118
- Datasets 3.6.0
- Tokenizers 0.21.1
- Library
- peft
- License
- other
- Created
- May 18, 2025
- Updated
- May 18, 2025