GemBode
Collection
GemBode são modelos baseados na arquitetura Gemma, da Google. Aqui, você pode encontrar diversos modelos, sendo eles:
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7 items
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Updated
Training procedure
The following bitsandbytes quantization config was used during training:
- quant_method: bitsandbytes
- _load_in_8bit: False
- _load_in_4bit: True
- 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: nf4
- bnb_4bit_use_double_quant: True
- bnb_4bit_compute_dtype: float16
- bnb_4bit_quant_storage: uint8
- load_in_4bit: True
- load_in_8bit: False
Framework versions
- PEFT 0.5.0
Open Portuguese LLM Leaderboard Evaluation Results
Detailed results can be found here and on the 🚀 Open Portuguese LLM Leaderboard
| Metric | Value |
|---|---|
| Average | 45.25 |
| ENEM Challenge (No Images) | 31.77 |
| BLUEX (No Images) | 24.20 |
| OAB Exams | 27.84 |
| Assin2 RTE | 69.51 |
| Assin2 STS | 30.31 |
| FaQuAD NLI | 55.55 |
| HateBR Binary | 53.18 |
| PT Hate Speech Binary | 64.74 |
| tweetSentBR | 50.18 |
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Evaluation results
- accuracy on ENEM Challenge (No Images)Open Portuguese LLM Leaderboard31.770
- accuracy on BLUEX (No Images)Open Portuguese LLM Leaderboard24.200
- accuracy on OAB ExamsOpen Portuguese LLM Leaderboard27.840
- f1-macro on Assin2 RTEtest set Open Portuguese LLM Leaderboard69.510
- pearson on Assin2 STStest set Open Portuguese LLM Leaderboard30.310
- f1-macro on FaQuAD NLItest set Open Portuguese LLM Leaderboard55.550
- f1-macro on HateBR Binarytest set Open Portuguese LLM Leaderboard53.180
- f1-macro on PT Hate Speech Binarytest set Open Portuguese LLM Leaderboard64.740
- f1-macro on tweetSentBRtest set Open Portuguese LLM Leaderboard50.180