
# Jeopardy Bot

Jeopardy Bot is a reasobably good and fast bot at answering jeopardy questsions. Jeopardy is a great format for Language Models because the query is typically very short and the answer is typically even shorter.

The `https://huggingface.co/datasets/jeopardy` dataset used to train this model is relatively incomplete with ~216K rows, but provides a rich evaluation set of data as https://j-archive.com/ provides daily updated clues and answers totaling ~468K clues and answers.

# Sample Responses
Here are some sampled questsions taken from recent episodes. We use Daily Doubles since those are often considered "harder".

```
Below is a Jeopardy clue paired with input providing the category of the clue. Write a concise response that best answers tbe clue given the category.

### Instruction:
In 2023 16th St. Baptist in this city marks 150 years of the congregation, a history marred by a 1963 bombing

### Input:
Take me to church

### Response:
what is Birmingham
```
Correct! Daily Double! https://j-archive.com/suggestcorrection.php?clue_id=461177

```
Below is a Jeopardy clue paired with input providing the category of the clue. Write a concise response that best answers tbe clue given the category.

### Instruction:
You can wear your Crocs as you see the gators in this national park established in 1947 at Florida's southwestern tip

### Input:
Florida Places

### Response:
what is Everglades National Park
```
Correct! Daily Double! https://j-archive.com/suggestcorrection.php?clue_id=461065


Let's Just give it the Basic Alpaca prompt with no input or even a category...
```
Below is an instruction that describes a task. Write a response that appropriately completes the request.

### Instruction:
On May 10-11, 1927 he flew from San Diego to New York City, with an overnight stop in St. Louis

### Response:
what is Charles Lindbergh
```
Correct! Daily Double! https://j-archive.com/suggestcorrection.php?clue_id=459838

```
Below is an instruction that describes a task. Write a response that appropriately completes the request.

### Instruction:
He was born March 30, 1970, in a Virginia stable

### Response:
what is George Washington
```
Womp womp womp! Let's give it the category inline...

```
Below is an instruction that describes a task. Write a response that appropriately completes the request.

### Instruction:
He was born March 30, 1970, in a Virginia stable. The Category is Sports GOATs.

### Response:
what is Michael Jordan
```
Well, even large language models aren't going to get these right all the time.

# Training
This model is SFT on LLaMa 7B. The training hyperparameters are provided in the YML config, which can be used directly with Axolotl. Training was stopped after ~2 epochs as the evaluation loss had started to increase after that. See https://wandb.ai/wing-lian/jeopardy-bot-7b


{"language": ["en"], "license": "apache-2.0", "datasets": ["jeopardy"]}
transformers pytorch llama text-generation en dataset:jeopardy license:apache-2.0 autotrain_compatible endpoints_compatible has_space text-generation-inference region:us
TAGS
#transformers #pytorch #llama #text-generation #en #dataset-jeopardy #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #text-generation-inference #region-us 


# Jeopardy Bot

Jeopardy Bot is a reasobably good and fast bot at answering jeopardy questsions. Jeopardy is a great format for Language Models because the query is typically very short and the answer is typically even shorter.

The 'URL dataset used to train this model is relatively incomplete with ~216K rows, but provides a rich evaluation set of data as URL provides daily updated clues and answers totaling ~468K clues and answers.

# Sample Responses
Here are some sampled questsions taken from recent episodes. We use Daily Doubles since those are often considered "harder".


Correct! Daily Double! URL


Correct! Daily Double! URL


Let's Just give it the Basic Alpaca prompt with no input or even a category...

Correct! Daily Double! URL


Womp womp womp! Let's give it the category inline...


Well, even large language models aren't going to get these right all the time.

# Training
This model is SFT on LLaMa 7B. The training hyperparameters are provided in the YML config, which can be used directly with Axolotl. Training was stopped after ~2 epochs as the evaluation loss had started to increase after that. See URL


# Jeopardy Bot

Jeopardy Bot is a reasobably good and fast bot at answering jeopardy questsions. Jeopardy is a great format for Language Models because the query is typically very short and the answer is typically even shorter.

The 'URL dataset used to train this model is relatively incomplete with ~216K rows, but provides a rich evaluation set of data as URL provides daily updated clues and answers totaling ~468K clues and answers. # Sample Responses
Here are some sampled questsions taken from recent episodes. We use Daily Doubles since those are often considered "harder".


Correct! Daily Double! URL


Correct! Daily Double! URL


Let's Just give it the Basic Alpaca prompt with no input or even a category...

Correct! Daily Double! URL


Womp womp womp! Let's give it the category inline...


Well, even large language models aren't going to get these right all the time. # Training
This model is SFT on LLaMa 7B. The training hyperparameters are provided in the YML config, which can be used directly with Axolotl. Training was stopped after ~2 epochs as the evaluation loss had started to increase after that. See URL
TAGS
#transformers #pytorch #llama #text-generation #en #dataset-jeopardy #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #text-generation-inference #region-us 
 # Jeopardy Bot

Jeopardy Bot is a reasobably good and fast bot at answering jeopardy questsions. Jeopardy is a great format for Language Models because the query is typically very short and the answer is typically even shorter.

The 'URL dataset used to train this model is relatively incomplete with ~216K rows, but provides a rich evaluation set of data as URL provides daily updated clues and answers totaling ~468K clues and answers. # Sample Responses
Here are some sampled questsions taken from recent episodes. We use Daily Doubles since those are often considered "harder".


Correct! Daily Double! URL


Correct! Daily Double! URL


Let's Just give it the Basic Alpaca prompt with no input or even a category...

Correct! Daily Double! URL


Womp womp womp! Let's give it the category inline...


Well, even large language models aren't going to get these right all the time. # Training
This model is SFT on LLaMa 7B. The training hyperparameters are provided in the YML config, which can be used directly with Axolotl. Training was stopped after ~2 epochs as the evaluation loss had started to increase after that. See URL