kodetr/stunting-qa-v4

Model Description

Konsultasi(Q&A) stunting pada anak

• Developed by: Tanwir
• Language : Indonesia

Training

Information Result Training

      ***** train metrics *****
  epoch                    =     2.9987
  num_input_tokens_seen    =    1900976
  total_flos               = 79944066GF
  train_loss               =      0.872
  train_runtime            = 1:06:36.18
  train_samples_per_second =      5.737
  train_steps_per_second   =      0.358

Evaluation

{
    "predict_bleu-4": 46.238530502486256,
    "predict_model_preparation_time": 0.0054,
    "predict_rouge-1": 50.236485540434444,
    "predict_rouge-2": 33.20428471604292,
    "predict_rouge-l": 46.93391739073541,
    "predict_runtime": 10532.8745,
    "predict_samples_per_second": 0.726,
    "predict_steps_per_second": 0.363
}

Parameter

LlamaConfig {
  "architectures": [
    "LlamaForCausalLM"
  ],
  "attention_bias": false,
  "attention_dropout": 0.0,
  "bos_token_id": 128000,
  "eos_token_id": 128009,
  "head_dim": 128,
  "hidden_act": "silu",
  "hidden_size": 4096,
  "initializer_range": 0.02,
  "intermediate_size": 14336,
  "max_position_embeddings": 8192,
  "mlp_bias": false,
  "model_type": "llama",
  "num_attention_heads": 32,
  "num_hidden_layers": 32,
  "num_key_value_heads": 8,
  "pretraining_tp": 1,
  "rms_norm_eps": 1e-05,
  "rope_scaling": null,
  "rope_theta": 500000.0,
  "tie_word_embeddings": false,
  "torch_dtype": "bfloat16",
  "transformers_version": "4.51.3",
  "use_cache": true,
  "vocab_size": 128256
}

Use with transformers

Pastikan untuk memperbarui instalasi transformer Anda melalui pip install --upgrade transformer.

import torch
from transformers import pipeline

model_id = "kodetr/stunting-qa-v5"
pipe = pipeline(
    "text-generation",
    model=model_id,
    torch_dtype=torch.bfloat16,
    device_map="auto",
)

messages = [
    {"role": "system", "content": "Jelaskan definisi 1000 hari pertama kehidupan."},
    {"role": "user", "content": "Apa itu 1000 hari pertama kehidupan?"},
]
outputs = pipe(
    messages,
    max_new_tokens=256,
)
print(outputs[0]["generated_text"][-1])