initial commit of Jeopardy bot model

README.md

@@ -1,3 +1,83 @@
 ---
 license: apache-2.0
+datasets:
+- jeopardy
+language:
+- en
 ---
+
+# 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
+

config.json

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+{
+  "_name_or_path": "jeopardy_bot",
+  "architectures": [
+    "LlamaForCausalLM"
+  ],
+  "bos_token_id": 1,
+  "eos_token_id": 2,
+  "hidden_act": "silu",
+  "hidden_size": 4096,
+  "initializer_range": 0.02,
+  "intermediate_size": 11008,
+  "max_position_embeddings": 2048,
+  "max_sequence_length": 2048,
+  "model_type": "llama",
+  "num_attention_heads": 32,
+  "num_hidden_layers": 32,
+  "pad_token_id": 0,
+  "rms_norm_eps": 1e-06,
+  "tie_word_embeddings": false,
+  "torch_dtype": "float16",
+  "transformers_version": "4.29.0.dev0",
+  "use_cache": false,
+  "vocab_size": 32000
+}

configs/jeopardy-bot.yml

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+base_model: ./jeopardy-bot-7b
+base_model_config: huggyllama/llama-7b
+model_type: LlamaForCausalLM
+tokenizer_type: LlamaTokenizer
+load_in_8bit: false
+datasets:
+  - path: openaccess-ai-collective/jeopardy
+    type: jeopardy
+dataset_prepared_path: last_run_prepared
+val_set_size: 0.01
+adapter:
+lora_model_dir:
+sequence_len: 2048
+max_packed_sequence_len: 2048
+lora_r: 8
+lora_alpha: 16
+lora_dropout: 0.05
+lora_target_modules:
+  - q_proj
+  - v_proj
+lora_fan_in_fan_out: false
+wandb_project: jeopardy-bot-7b
+wandb_watch:
+wandb_run_id:
+wandb_log_model: checkpoint
+output_dir: ./jeopardy-bot-7b
+batch_size: 4
+micro_batch_size: 1
+num_epochs: 3
+optimizer: adamw_bnb_8bit
+torchdistx_path:
+lr_scheduler: cosine
+learning_rate: 0.0000002
+train_on_inputs: false
+group_by_length: false
+bf16: true
+tf32: true
+early_stopping_patience:
+resume_from_checkpoint:
+local_rank:
+logging_steps: 5
+xformers_attention: true
+flash_attention:
+gptq_groupsize:
+gptq_model_v1:
+warmup_steps: 20
+eval_steps: 110
+save_steps: 660
+debug:
+deepspeed:
+weight_decay: 0.0001
+fsdp:
+fsdp_config:
+special_tokens:
+  pad_token: "[PAD]"
+  bos_token: "<s>"
+  eos_token: "</s>"
+  unk_token: "<unk>"

generation_config.json

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+{
+  "_from_model_config": true,
+  "bos_token_id": 1,
+  "eos_token_id": 2,
+  "pad_token_id": 0,
+  "transformers_version": "4.29.0.dev0"
+}

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