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---
license: mit
datasets:
- mlabonne/orpo-dpo-mix-40k
language:
- en
base_model:
- meta-llama/Llama-3.2-1B-Instruct
pipeline_tag: text-classification
---
## Model Details
### Model Description
- **Developed by:** Chintan Shah
- **Model type:** meta-llama/Llama-3.2-1B-Instruct
- **Finetuned from model [optional]:** meta-llama/Llama-3.2-1B-Instruct
## Training Details
### Training Data
mlabonne/orpo-dpo-mix-40k
### Training Procedure
ORPO
### Training Parameters
## Training Arguments:
- Learning Rate: 1e-5
- Batch Size: 1
- max_steps: 1
- Block Size: 512
- Warmup Ratio: 0.1
- Weight Decay: 0.01
- Gradient Accumulation: 4
- Mixed Precision: bf16
#### Training Hyperparameters
- **Training regime:**
fp16 mixed precision
### LoRA Configuration:
- R: 16
- Alpha: 32
- Dropout: 0.05
## Evaluation
| Tasks |Version|Filter|n-shot| Metric | |Value | |Stderr|
|---------|------:|------|-----:|--------|---|-----:|---|-----:|
|hellaswag| 1|none | 0|acc |↑ |0.4408|± |0.0050|
| | |none | 0|acc_norm|↑ |0.5922|± |0.0049|
### Testing Data, Factors & Metrics
#### Testing Data
https://github.com/EleutherAI/lm-evaluation-harnes |