File size: 809 Bytes
9b38941 134aea8 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 | ---
license: mit
datasets:
- openai/MMMLU
- argilla/FinePersonas-v0.1
- SkunkworksAI/reasoning-0.01
- fka/awesome-chatgpt-prompts
metrics:
- accuracy
- bleu
- bertscore
- bleurt
base_model:
- meta-llama/Llama-3.2-11B-Vision-Instruct
- nvidia/NVLM-D-72B
- openai/whisper-large-v3-turbo
new_version: meta-llama/Llama-3.1-8B-Instruct
pipeline_tag: question-answering
library_name: adapter-transformers
from transformers import AutoModelForQuestionAnswering, Trainer, TrainingArguments
model = AutoModelForQuestionAnswering.from_pretrained("your-model-name")
pip install transformers datasets
training_args = TrainingArguments(
output_dir='./results',
num_train_epochs=3,
per_device_train_batch_size=16,
evaluation_strategy="epoch"
)
---eval_results = trainer.evaluate()
print(eval_results)
|