metadata
library_name: peft
license: other
base_model: deepseek-ai/deepseek-coder-6.7b-base
tags:
- base_model:adapter:deepseek-ai/deepseek-coder-6.7b-base
- lora
- transformers
pipeline_tag: text-generation
model-index:
- name: deepseek-coder-arc-agi-finetuned
results: []
deepseek-coder-arc-agi-finetuned
This model is a fine-tuned version of deepseek-ai/deepseek-coder-6.7b-base on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.2030
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: 4
- seed: 42
- gradient_accumulation_steps: 8
- total_train_batch_size: 16
- optimizer: Use 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: 3
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.3396 | 0.4124 | 25 | 0.2842 |
| 0.2705 | 0.8247 | 50 | 0.2460 |
| 0.2194 | 1.2474 | 75 | 0.2340 |
| 0.2227 | 1.6598 | 100 | 0.2233 |
| 0.2913 | 2.0825 | 125 | 0.2158 |
| 0.2334 | 2.4948 | 150 | 0.2065 |
| 0.1901 | 2.9072 | 175 | 0.2030 |
Framework versions
- PEFT 0.17.1
- Transformers 4.51.3
- Pytorch 2.7.0+cu126
- Datasets 4.1.1
- Tokenizers 0.21.1