|
--- |
|
license: apache-2.0 |
|
model-index: |
|
- name: llamaRAGdrama |
|
results: |
|
- task: |
|
type: text-generation |
|
name: Text Generation |
|
dataset: |
|
name: AI2 Reasoning Challenge (25-Shot) |
|
type: ai2_arc |
|
config: ARC-Challenge |
|
split: test |
|
args: |
|
num_few_shot: 25 |
|
metrics: |
|
- type: acc_norm |
|
value: 72.01 |
|
name: normalized accuracy |
|
source: |
|
url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=kevin009/llamaRAGdrama |
|
name: Open LLM Leaderboard |
|
- task: |
|
type: text-generation |
|
name: Text Generation |
|
dataset: |
|
name: HellaSwag (10-Shot) |
|
type: hellaswag |
|
split: validation |
|
args: |
|
num_few_shot: 10 |
|
metrics: |
|
- type: acc_norm |
|
value: 88.83 |
|
name: normalized accuracy |
|
source: |
|
url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=kevin009/llamaRAGdrama |
|
name: Open LLM Leaderboard |
|
- task: |
|
type: text-generation |
|
name: Text Generation |
|
dataset: |
|
name: MMLU (5-Shot) |
|
type: cais/mmlu |
|
config: all |
|
split: test |
|
args: |
|
num_few_shot: 5 |
|
metrics: |
|
- type: acc |
|
value: 64.5 |
|
name: accuracy |
|
source: |
|
url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=kevin009/llamaRAGdrama |
|
name: Open LLM Leaderboard |
|
- task: |
|
type: text-generation |
|
name: Text Generation |
|
dataset: |
|
name: TruthfulQA (0-shot) |
|
type: truthful_qa |
|
config: multiple_choice |
|
split: validation |
|
args: |
|
num_few_shot: 0 |
|
metrics: |
|
- type: mc2 |
|
value: 70.24 |
|
source: |
|
url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=kevin009/llamaRAGdrama |
|
name: Open LLM Leaderboard |
|
- task: |
|
type: text-generation |
|
name: Text Generation |
|
dataset: |
|
name: Winogrande (5-shot) |
|
type: winogrande |
|
config: winogrande_xl |
|
split: validation |
|
args: |
|
num_few_shot: 5 |
|
metrics: |
|
- type: acc |
|
value: 86.66 |
|
name: accuracy |
|
source: |
|
url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=kevin009/llamaRAGdrama |
|
name: Open LLM Leaderboard |
|
- task: |
|
type: text-generation |
|
name: Text Generation |
|
dataset: |
|
name: GSM8k (5-shot) |
|
type: gsm8k |
|
config: main |
|
split: test |
|
args: |
|
num_few_shot: 5 |
|
metrics: |
|
- type: acc |
|
value: 65.66 |
|
name: accuracy |
|
source: |
|
url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=kevin009/llamaRAGdrama |
|
name: Open LLM Leaderboard |
|
--- |
|
It remain factual and reliable even in dramatic situations. |
|
|
|
--- |
|
|
|
### Model Card for kevin009/llamaRAGdrama |
|
|
|
#### Model Details |
|
- **Model Name:** kevin009/llamaRAGdrama |
|
- **Model Type:** Fine-tuned for Q&A, RAG. |
|
- **Fine-tuning Objective:** Synthesis text content in Q&A, RAG scenarios. |
|
|
|
#### Intended Use |
|
- **Applications:** RAG, Q&A |
|
|
|
#### Training Data |
|
- **Sources:** Includes a diverse dataset of dramatic texts, enriched with factual databases and reliable sources to train the model on generating content that remains true to real-world facts. |
|
- **Preprocessing:** In addition to removing non-content text, data was annotated to distinguish between purely creative elements and those that require factual accuracy, ensuring a balanced training approach. |
|
|
|
#### How to Use |
|
```python |
|
from transformers import AutoTokenizer, AutoModelForCausalLM |
|
|
|
tokenizer = AutoTokenizer.from_pretrained("kevin009/llamaRAGdrama") |
|
model = AutoModelForCausalLM.from_pretrained("kevin009/llamaRAGdrama") |
|
|
|
input_text = "Enter your prompt here" |
|
input_tokens = tokenizer.encode(input_text, return_tensors='pt') |
|
output_tokens = model.generate(input_tokens, max_length=100, num_return_sequences=1, temperature=0.9) |
|
generated_text = tokenizer.decode(output_tokens[0], skip_special_tokens=True) |
|
|
|
print(generated_text) |
|
``` |
|
Replace `"Enter your prompt here"` with your starting text. Adjust `temperature` for creativity level. |
|
|
|
#### Limitations and Biases |
|
- **Content Limitation:** While designed to be truthful, It may not be considered safe. |
|
- **Biases:** It may remain biases and inaccurate. |
|
|
|
#### Licensing and Attribution |
|
- **License:** Apache-2.0 |
|
# [Open LLM Leaderboard Evaluation Results](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard) |
|
Detailed results can be found [here](https://huggingface.co/datasets/open-llm-leaderboard/details_kevin009__llamaRAGdrama) |
|
|
|
| Metric |Value| |
|
|---------------------------------|----:| |
|
|Avg. |74.65| |
|
|AI2 Reasoning Challenge (25-Shot)|72.01| |
|
|HellaSwag (10-Shot) |88.83| |
|
|MMLU (5-Shot) |64.50| |
|
|TruthfulQA (0-shot) |70.24| |
|
|Winogrande (5-shot) |86.66| |
|
|GSM8k (5-shot) |65.66| |
|
|
|
|