metadata
license: other
library_name: peft
tags:
- trl
- sft
- generated_from_trainer
base_model: deepseek-ai/deepseek-coder-1.3b-instruct
model-index:
- name: results
results: []
results
This model is a fine-tuned version of deepseek-ai/deepseek-coder-1.3b-instruct on the None dataset. It achieves the following results on the evaluation set:
- Loss: 1.1485
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: 4
- eval_batch_size: 4
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 8
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_ratio: 0.03
- lr_scheduler_warmup_steps: 50
- training_steps: 200
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 1.3759 | 0.02 | 25 | 1.3449 |
| 0.5848 | 0.03 | 50 | 1.2507 |
| 1.0184 | 0.05 | 75 | 1.1688 |
| 0.5275 | 0.07 | 100 | 1.1849 |
| 0.9792 | 0.08 | 125 | 1.1529 |
| 0.5695 | 0.1 | 150 | 1.1572 |
| 0.8567 | 0.11 | 175 | 1.1495 |
| 0.5234 | 0.13 | 200 | 1.1485 |
Framework versions
- PEFT 0.7.2.dev0
- Transformers 4.37.0.dev0
- Pytorch 2.1.0+cu121
- Datasets 2.16.1
- Tokenizers 0.15.0