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deepseek-coder-1.3b-base-JUnit
iHateNLP/deepseek-coder-1.3b-base-JUnit
deepseek-coder-1.3b-base-JUnit is a machine learning model from iHateNLP. 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
- Model type
- llama
- Access
- Public
- Created
- Sep 9, 2024
- Updated
- Sep 10, 2024
- SHA
- d4fa5beb
Base models
Datasets
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. -->
sft_00
This model is a fine-tuned version of deepseek-ai/deepseek-coder-1.3b-base on the Sohaib9920/code_tests dataset. It achieves the following results on the evaluation set:
- Loss: 0.2291
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: 0.0005
- train_batch_size: 2
- eval_batch_size: 4
- seed: 42
- distributed_type: multi-GPU
- num_devices: 2
- gradient_accumulation_steps: 8
- total_train_batch_size: 32
- total_eval_batch_size: 8
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- num_epochs: 2
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.4228 | 0.4996 | 623 | 0.3337 |
| 0.3632 | 0.9993 | 1246 | 0.2687 |
| 0.264 | 1.4989 | 1869 | 0.2418 |
| 0.2535 | 1.9986 | 2492 | 0.2291 |
Framework versions
- PEFT 0.12.0
- Transformers 4.44.2
- Pytorch 2.4.0
- Datasets 2.21.0
- Tokenizers 0.19.1
- Library
- peft
- Type
- llama
- License
- other
- Created
- Sep 9, 2024
- Updated
- Sep 10, 2024