metadata
base_model: deepseek-ai/DeepSeek-Coder-V2-Lite-Instruct
library_name: peft
license: other
tags:
- generated_from_trainer
model-index:
- name: deepseek_coder_v2
results: []
deepseek_coder_v2
This model is a fine-tuned version of deepseek-ai/DeepSeek-Coder-V2-Lite-Instruct on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.1922
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: 0.0001
- train_batch_size: 1
- eval_batch_size: 1
- seed: 42
- gradient_accumulation_steps: 32
- total_train_batch_size: 32
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.05
- num_epochs: 1
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.4005 | 0.1613 | 5 | 0.3098 |
| 0.2848 | 0.3226 | 10 | 0.2342 |
| 0.2249 | 0.4839 | 15 | 0.2092 |
| 0.2221 | 0.6452 | 20 | 0.2001 |
| 0.2141 | 0.8065 | 25 | 0.1949 |
| 0.2094 | 0.9677 | 30 | 0.1922 |
Framework versions
- PEFT 0.11.1
- Transformers 4.42.3
- Pytorch 2.3.1+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1