metadata
license: other
library_name: peft
tags:
- trl
- sft
- generated_from_trainer
base_model: deepseek-ai/deepseek-coder-1.3b-base
datasets:
- generator
model-index:
- name: hyperparam-rust-sft-lora
results: []
hyperparam-rust-sft-lora
This model is a fine-tuned version of deepseek-ai/deepseek-coder-1.3b-base on the generator dataset. It achieves the following results on the evaluation set:
- Loss: 0.4360
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: 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: cosine
- lr_scheduler_warmup_ratio: 0.05
- lr_scheduler_warmup_steps: 1
- num_epochs: 5
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.6641 | 0.59 | 25 | 0.5224 |
| 0.4747 | 1.18 | 50 | 0.4685 |
| 0.4392 | 1.77 | 75 | 0.4519 |
| 0.4378 | 2.37 | 100 | 0.4437 |
| 0.4189 | 2.96 | 125 | 0.4389 |
| 0.4209 | 3.55 | 150 | 0.4367 |
| 0.4201 | 4.14 | 175 | 0.4360 |
| 0.4163 | 4.73 | 200 | 0.4360 |
Framework versions
- PEFT 0.10.0
- Transformers 4.39.2
- Pytorch 2.2.1
- Datasets 2.18.0
- Tokenizers 0.15.2