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--- |
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language: |
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- pt |
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license: mit |
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library_name: peft |
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tags: |
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- gptq |
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- ptbr |
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base_model: TheBloke/zephyr-7B-beta-GPTQ |
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revision: gptq-8bit-32g-actorder_True |
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model-index: |
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- name: cesar-ptbr |
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results: |
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- task: |
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type: text-generation |
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name: Text Generation |
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dataset: |
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name: ENEM Challenge (No Images) |
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type: eduagarcia/enem_challenge |
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split: train |
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args: |
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num_few_shot: 3 |
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metrics: |
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- type: acc |
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value: 53.74 |
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name: accuracy |
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source: |
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url: https://huggingface.co/spaces/eduagarcia/open_pt_llm_leaderboard?query=matheusrdgsf/cesar-ptbr |
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name: Open Portuguese LLM Leaderboard |
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- task: |
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type: text-generation |
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name: Text Generation |
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dataset: |
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name: BLUEX (No Images) |
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type: eduagarcia-temp/BLUEX_without_images |
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split: train |
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args: |
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num_few_shot: 3 |
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metrics: |
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- type: acc |
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value: 46.87 |
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name: accuracy |
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source: |
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url: https://huggingface.co/spaces/eduagarcia/open_pt_llm_leaderboard?query=matheusrdgsf/cesar-ptbr |
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name: Open Portuguese LLM Leaderboard |
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- task: |
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type: text-generation |
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name: Text Generation |
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dataset: |
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name: OAB Exams |
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type: eduagarcia/oab_exams |
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split: train |
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args: |
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num_few_shot: 3 |
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metrics: |
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- type: acc |
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value: 38.27 |
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name: accuracy |
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source: |
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url: https://huggingface.co/spaces/eduagarcia/open_pt_llm_leaderboard?query=matheusrdgsf/cesar-ptbr |
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name: Open Portuguese LLM Leaderboard |
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- task: |
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type: text-generation |
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name: Text Generation |
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dataset: |
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name: Assin2 RTE |
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type: assin2 |
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split: test |
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args: |
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num_few_shot: 15 |
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metrics: |
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- type: f1_macro |
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value: 58.32 |
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name: f1-macro |
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source: |
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url: https://huggingface.co/spaces/eduagarcia/open_pt_llm_leaderboard?query=matheusrdgsf/cesar-ptbr |
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name: Open Portuguese LLM Leaderboard |
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- task: |
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type: text-generation |
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name: Text Generation |
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dataset: |
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name: Assin2 STS |
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type: eduagarcia/portuguese_benchmark |
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split: test |
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args: |
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num_few_shot: 15 |
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metrics: |
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- type: pearson |
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value: 68.49 |
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name: pearson |
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source: |
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url: https://huggingface.co/spaces/eduagarcia/open_pt_llm_leaderboard?query=matheusrdgsf/cesar-ptbr |
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name: Open Portuguese LLM Leaderboard |
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- task: |
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type: text-generation |
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name: Text Generation |
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dataset: |
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name: FaQuAD NLI |
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type: ruanchaves/faquad-nli |
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split: test |
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args: |
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num_few_shot: 15 |
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metrics: |
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- type: f1_macro |
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value: 73.81 |
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name: f1-macro |
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source: |
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url: https://huggingface.co/spaces/eduagarcia/open_pt_llm_leaderboard?query=matheusrdgsf/cesar-ptbr |
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name: Open Portuguese LLM Leaderboard |
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- task: |
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type: text-generation |
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name: Text Generation |
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dataset: |
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name: HateBR Binary |
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type: ruanchaves/hatebr |
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split: test |
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args: |
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num_few_shot: 25 |
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metrics: |
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- type: f1_macro |
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value: 83.3 |
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name: f1-macro |
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source: |
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url: https://huggingface.co/spaces/eduagarcia/open_pt_llm_leaderboard?query=matheusrdgsf/cesar-ptbr |
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name: Open Portuguese LLM Leaderboard |
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- task: |
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type: text-generation |
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name: Text Generation |
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dataset: |
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name: PT Hate Speech Binary |
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type: hate_speech_portuguese |
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split: test |
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args: |
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num_few_shot: 25 |
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metrics: |
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- type: f1_macro |
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value: 67.49 |
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name: f1-macro |
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source: |
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url: https://huggingface.co/spaces/eduagarcia/open_pt_llm_leaderboard?query=matheusrdgsf/cesar-ptbr |
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name: Open Portuguese LLM Leaderboard |
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- task: |
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type: text-generation |
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name: Text Generation |
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dataset: |
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name: tweetSentBR |
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type: eduagarcia/tweetsentbr_fewshot |
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split: test |
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args: |
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num_few_shot: 25 |
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metrics: |
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- type: f1_macro |
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value: 42.71 |
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name: f1-macro |
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source: |
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url: https://huggingface.co/spaces/eduagarcia/open_pt_llm_leaderboard?query=matheusrdgsf/cesar-ptbr |
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name: Open Portuguese LLM Leaderboard |
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--- |
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## Training procedure |
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The following `bitsandbytes` quantization config was used during training: |
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- quant_method: gptq |
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- bits: 8 |
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- tokenizer: None |
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- dataset: None |
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- group_size: 32 |
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- damp_percent: 0.1 |
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- desc_act: True |
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- sym: True |
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- true_sequential: True |
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- use_cuda_fp16: False |
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- model_seqlen: 4096 |
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- block_name_to_quantize: model.layers |
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- module_name_preceding_first_block: ['model.embed_tokens'] |
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- batch_size: 1 |
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- pad_token_id: None |
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- disable_exllama: True |
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- max_input_length: None |
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### Framework versions |
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# Load model AutoModel |
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```python |
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from peft import PeftModel, PeftConfig |
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from transformers import AutoModelForCausalLM |
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config = PeftConfig.from_pretrained("matheusrdgsf/cesar-ptbr") |
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model = AutoModelForCausalLM.from_pretrained("TheBloke/zephyr-7B-beta-GPTQ", revision="gptq-8bit-32g-actorder_True", device_map='auto') |
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model = PeftModel.from_pretrained(model, "matheusrdgsf/cesar-ptbr") |
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``` |
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# Easy inference |
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```python |
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from transformers import GenerationConfig |
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from transformers import AutoTokenizer |
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tokenizer_model = AutoTokenizer.from_pretrained('TheBloke/zephyr-7B-beta-GPTQ') |
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tokenizer_template = AutoTokenizer.from_pretrained('HuggingFaceH4/zephyr-7b-alpha') |
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generation_config = GenerationConfig( |
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do_sample=True, |
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temperature=0.1, |
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top_p=0.25, |
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top_k=0, |
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max_new_tokens=512, |
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repetition_penalty=1.1, |
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eos_token_id=tokenizer_model.eos_token_id, |
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pad_token_id=tokenizer_model.eos_token_id, |
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) |
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def get_inference( |
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text, |
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model, |
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tokenizer_model=tokenizer_model, |
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tokenizer_template=tokenizer_template, |
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generation_config=generation_config, |
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): |
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st_time = time.time() |
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inputs = tokenizer_model( |
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tokenizer_template.apply_chat_template( |
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[ |
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{ |
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"role": "system", |
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"content": "Você é um chatbot para indicação de filmes. Responda em português e de maneira educada sugestões de filmes para os usuários.", |
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}, |
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{"role": "user", "content": text}, |
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], |
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tokenize=False, |
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), |
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return_tensors="pt", |
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).to("cuda") |
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outputs = model.generate(**inputs, generation_config=generation_config) |
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print('inference time:', time.time() - st_time) |
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return tokenizer_model.decode(outputs[0], skip_special_tokens=True).split('\n')[-1] |
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get_inference('Poderia indicar filmes de ação de até 2 horas?', model) |
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``` |
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- PEFT 0.5.0 |
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# Open Portuguese LLM Leaderboard Evaluation Results |
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Detailed results can be found [here](https://huggingface.co/datasets/eduagarcia-temp/llm_pt_leaderboard_raw_results/tree/main/matheusrdgsf/cesar-ptbr) and on the [🚀 Open Portuguese LLM Leaderboard](https://huggingface.co/spaces/eduagarcia/open_pt_llm_leaderboard) |
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|
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| Metric | Value | |
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|--------------------------|---------| |
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|Average |**59.22**| |
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|ENEM Challenge (No Images)| 53.74| |
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|BLUEX (No Images) | 46.87| |
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|OAB Exams | 38.27| |
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|Assin2 RTE | 58.32| |
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|Assin2 STS | 68.49| |
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|FaQuAD NLI | 73.81| |
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|HateBR Binary | 83.30| |
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|PT Hate Speech Binary | 67.49| |
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|tweetSentBR | 42.71| |
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