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Training Details
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Evaluation
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Summary
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Environmental Impact
Carbon emissions can be estimated using the
Machine Learning Impact calculator presented in
Lacoste et al. (2019).
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Training procedure
The following bitsandbytes quantization config was used during training:
- quant_method: bitsandbytes
- load_in_8bit: True
- load_in_4bit: False
- llm_int8_threshold: 6.0
- llm_int8_skip_modules: None
- llm_int8_enable_fp32_cpu_offload: False
- llm_int8_has_fp16_weight: False
- bnb_4bit_quant_type: fp4
- bnb_4bit_use_double_quant: False
- bnb_4bit_compute_dtype: float32
Framework versions
Detailed results can be found
here| Metric | Value |
|---|
| Avg. | 60.53 |
| AI2 Reasoning Challenge (25-Shot) | 59.64 |
| HellaSwag (10-Shot) | 83.55 |
| MMLU (5-Shot) | 63.41 |
| TruthfulQA (0-shot) | 41.64 |
| Winogrande (5-shot) | 78.61 |
| GSM8k (5-shot) | 36.32 |
