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Model: Felladrin/Pythia-31M-Chat-v1 Source: Original Platform
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281
README.md
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---
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language:
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- en
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license: apache-2.0
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base_model: EleutherAI/pythia-31m
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datasets:
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- totally-not-an-llm/EverythingLM-data-V3
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- databricks/databricks-dolly-15k
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- THUDM/webglm-qa
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- starfishmedical/webGPT_x_dolly
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- Amod/mental_health_counseling_conversations
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- sablo/oasst2_curated
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- cognitivecomputations/wizard_vicuna_70k_unfiltered
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- mlabonne/chatml_dpo_pairs
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pipeline_tag: text-generation
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widget:
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- messages:
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- role: system
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content: >-
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You are a career counselor. The user will provide you with an individual
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looking for guidance in their professional life, and your task is to assist
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them in determining what careers they are most suited for based on their skills,
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interests, and experience. You should also conduct research into the various
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options available, explain the job market trends in different industries, and
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advice on which qualifications would be beneficial for pursuing particular fields.
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- role: user
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content: Heya!
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- role: assistant
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content: Hi! How may I help you?
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- role: user
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content: >-
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I am interested in developing a career in software engineering. What
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would you recommend me to do?
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- messages:
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- role: system
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content: "You are a helpful assistant who answers user's questions with details and curiosity."
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- role: user
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content: What are some potential applications for quantum computing?
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- messages:
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- role: system
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content: You are a highly knowledgeable assistant. Help the user as much as you can.
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- role: user
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content: What are some steps I can take to become a healthier person?
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inference:
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parameters:
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max_new_tokens: 250
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penalty_alpha: 0.5
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top_k: 2
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repetition_penalty: 1.0016
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model-index:
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- name: Pythia-31M-Chat-v1
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results:
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- task:
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type: text-generation
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name: Text Generation
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dataset:
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name: AI2 Reasoning Challenge (25-Shot)
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type: ai2_arc
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config: ARC-Challenge
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split: test
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args:
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num_few_shot: 25
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metrics:
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- type: acc_norm
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value: 22.7
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name: normalized accuracy
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source:
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url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=Felladrin/Pythia-31M-Chat-v1
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name: Open LLM Leaderboard
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- task:
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type: text-generation
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name: Text Generation
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dataset:
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name: HellaSwag (10-Shot)
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type: hellaswag
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split: validation
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args:
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num_few_shot: 10
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metrics:
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- type: acc_norm
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value: 25.6
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name: normalized accuracy
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source:
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url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=Felladrin/Pythia-31M-Chat-v1
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name: Open LLM Leaderboard
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- task:
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type: text-generation
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name: Text Generation
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dataset:
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name: MMLU (5-Shot)
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type: cais/mmlu
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config: all
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split: test
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args:
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num_few_shot: 5
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metrics:
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- type: acc
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value: 23.24
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name: accuracy
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source:
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url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=Felladrin/Pythia-31M-Chat-v1
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name: Open LLM Leaderboard
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|
- task:
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type: text-generation
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name: Text Generation
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dataset:
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name: Winogrande (5-shot)
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type: winogrande
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config: winogrande_xl
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split: validation
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args:
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num_few_shot: 5
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metrics:
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- type: acc
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value: 47.99
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name: accuracy
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|
source:
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url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=Felladrin/Pythia-31M-Chat-v1
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name: Open LLM Leaderboard
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- task:
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type: text-generation
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name: Text Generation
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dataset:
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name: TruthfulQA (0-shot)
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type: truthful_qa
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config: multiple_choice
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split: validation
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args:
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num_few_shot: 0
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metrics:
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- type: mc2
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value: 0.0
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source:
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url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=Felladrin/Pythia-31M-Chat-v1
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name: Open LLM Leaderboard
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|
- task:
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type: text-generation
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name: Text Generation
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dataset:
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name: GSM8k (5-shot)
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type: gsm8k
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config: main
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split: test
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args:
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num_few_shot: 5
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metrics:
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- type: acc
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value: 0.0
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name: accuracy
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||||||
|
source:
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||||||
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url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=Felladrin/Pythia-31M-Chat-v1
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name: Open LLM Leaderboard
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---
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# A Pythia Chat Model of 31M Parameters
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- Base model: [EleutherAI/pythia-31m](https://huggingface.co/EleutherAI/pythia-31m)
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- Availability in other ML formats:
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- GGUF: [Felladrin/gguf-Pythia-31M-Chat-v1](https://huggingface.co/Felladrin/gguf-Pythia-31M-Chat-v1)
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- ONNX: [Felladrin/onnx-Pythia-31M-Chat-v1](https://huggingface.co/Felladrin/onnx-Pythia-31M-Chat-v1)
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## Recommended prompt format
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```
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<|im_start|>system
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{system_message}<|im_end|>
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<|im_start|>user
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{user_message}<|im_end|>
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<|im_start|>assistant
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```
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## Recommended inference parameters
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|
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```yml
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penalty_alpha: 0.5
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top_k: 2
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repetition_penalty: 1.0016
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```
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## Datasets and parameters used for training
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| Dataset | License Type |
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|---------|--------------|
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| [totally-not-an-llm/EverythingLM-data-V3](https://huggingface.co/datasets/totally-not-an-llm/EverythingLM-data-V3) | mit |
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|
| [databricks/databricks-dolly-15k](https://huggingface.co/datasets/databricks/databricks-dolly-15k) | cc-by-sa-3.0 |
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| [THUDM/webglm-qa](https://huggingface.co/datasets/THUDM/webglm-qa) | apache-2.0 |
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| [starfishmedical/webGPT_x_dolly](https://huggingface.co/datasets/starfishmedical/webGPT_x_dolly) | cc-by-sa-3.0 |
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| [Amod/mental_health_counseling_conversations](https://huggingface.co/datasets/Amod/mental_health_counseling_conversations) | openrail |
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| [sablo/oasst2_curated](https://huggingface.co/datasets/sablo/oasst2_curated) | apache-2.0 |
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| [cognitivecomputations/wizard_vicuna_70k_unfiltered](https://huggingface.co/datasets/cognitivecomputations/wizard_vicuna_70k_unfiltered) | apache-2.0 |
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| [mlabonne/chatml_dpo_pairs](https://huggingface.co/datasets/mlabonne/chatml_dpo_pairs) | apache-2.0 |
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```python
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SFTTrainer(
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model,
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train_dataset=train_dataset,
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dataset_text_field="text",
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eval_dataset=eval_dataset,
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max_seq_length=2048,
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packing=True,
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args=TrainingArguments(
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learning_rate=2e-6,
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per_device_train_batch_size=1,
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per_device_eval_batch_size=1,
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gradient_accumulation_steps=16,
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lr_scheduler_type="cosine",
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num_train_epochs=1,
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logging_strategy="steps",
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save_strategy="steps",
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evaluation_strategy="steps",
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logging_steps=10,
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eval_steps=10,
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save_steps=10,
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warmup_steps=50,
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load_best_model_at_end=True,
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metric_for_best_model="eval_loss",
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greater_is_better=False,
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weight_decay=0.01,
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save_total_limit=10,
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neftune_noise_alpha=5,
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),
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callbacks=[
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EarlyStoppingCallback(
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early_stopping_patience=3,
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early_stopping_threshold=0.005
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),
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],
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)
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```
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```python
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DPOTrainer(
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model,
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beta=0.1,
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train_dataset=dataset,
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tokenizer=tokenizer,
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eval_dataset=eval_dataset,
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max_length=1536,
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max_prompt_length=1024,
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args=TrainingArguments(
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learning_rate=2e-6,
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per_device_train_batch_size=1,
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per_device_eval_batch_size=1,
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gradient_accumulation_steps=1,
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lr_scheduler_type="cosine",
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num_train_epochs=1,
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logging_strategy="steps",
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save_strategy="steps",
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|
evaluation_strategy="steps",
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logging_steps=1,
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|
eval_steps=1,
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save_steps=1,
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|
warmup_steps=0,
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load_best_model_at_end=True,
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metric_for_best_model="eval_loss",
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|
greater_is_better=False,
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|
weight_decay=0.0,
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|
neftune_noise_alpha=5,
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remove_unused_columns=False,
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),
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callbacks=[
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EarlyStoppingCallback(
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early_stopping_patience=3,
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early_stopping_threshold=0.005
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|
),
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],
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)
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```
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|
|
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## [Open LLM Leaderboard Evaluation Results](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard)
|
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|
Detailed results can be found [here](https://huggingface.co/datasets/open-llm-leaderboard/details_Felladrin__Pythia-31M-Chat-v1)
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| Metric |Value|
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|---------------------------------|----:|
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|Avg. |19.92|
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|AI2 Reasoning Challenge (25-Shot)|22.70|
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|HellaSwag (10-Shot) |25.60|
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|MMLU (5-Shot) |23.24|
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|TruthfulQA (0-shot) | 0.00|
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|Winogrande (5-shot) |47.99|
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|GSM8k (5-shot) | 0.00|
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26
config.json
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config.json
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{
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"architectures": ["GPTNeoXForCausalLM"],
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"attention_dropout": 0.0,
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"bos_token_id": 0,
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"classifier_dropout": 0.1,
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"eos_token_id": 0,
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"hidden_act": "gelu",
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"hidden_dropout": 0.0,
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"hidden_size": 256,
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"initializer_range": 0.02,
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"intermediate_size": 1024,
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"layer_norm_eps": 1e-5,
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"max_position_embeddings": 2048,
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"model_type": "gpt_neox",
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"num_attention_heads": 8,
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"num_hidden_layers": 6,
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"rope_scaling": null,
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"rotary_emb_base": 10000,
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"rotary_pct": 0.25,
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"tie_word_embeddings": false,
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"torch_dtype": "float32",
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"transformers_version": "4.35.2",
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"use_cache": true,
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|
"use_parallel_residual": true,
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"vocab_size": 50304
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}
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3
model.safetensors
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3
model.safetensors
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|
version https://git-lfs.github.com/spec/v1
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|
oid sha256:50da98b79aa17cd03b2a86e9571a60bdd186c9bb46af3675284ad9801244e1be
|
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|
size 121987544
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5
special_tokens_map.json
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5
special_tokens_map.json
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|||||||
|
{
|
||||||
|
"bos_token": "<|endoftext|>",
|
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|
"eos_token": "<|endoftext|>",
|
||||||
|
"unk_token": "<|endoftext|>"
|
||||||
|
}
|
||||||
100529
tokenizer.json
Normal file
100529
tokenizer.json
Normal file
File diff suppressed because it is too large
Load Diff
10
tokenizer_config.json
Normal file
10
tokenizer_config.json
Normal file
@@ -0,0 +1,10 @@
|
|||||||
|
{
|
||||||
|
"add_prefix_space": false,
|
||||||
|
"bos_token": "<|endoftext|>",
|
||||||
|
"chat_template": "{% for message in messages %}{{'<|im_start|>' + message['role'] + '\n' + message['content'] + '<|im_end|>' + '\n'}}{% endfor %}{% if add_generation_prompt %}{{ '<|im_start|>assistant\n' }}{% endif %}",
|
||||||
|
"clean_up_tokenization_spaces": true,
|
||||||
|
"eos_token": "<|endoftext|>",
|
||||||
|
"model_max_length": 1000000000000000019884624838656,
|
||||||
|
"tokenizer_class": "GPTNeoXTokenizer",
|
||||||
|
"unk_token": "<|endoftext|>"
|
||||||
|
}
|
||||||
Reference in New Issue
Block a user