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GPT2 Review by TomData

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Base model:finetune:openai-com... Base model:openai-community/gp... Dataset:mcauley-lab/amazon-rev...   En   Gpt2   Pytorch   Region:us   Safetensors
Model Card on HF 🤗: https://huggingface.co/TomData/GPT2-review 

GPT2 Review Benchmarks

LLME Score: 0.2127
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
GPT2 Review (TomData/GPT2-review)

GPT2 Review Parameters and Internals

Model Type 
Transformer-based language model
Use Cases 
Primary Use Cases:
Market research, Product analysis, Customer preferences, Fashion trends, Research
Supported Languages 
English (high)
Training Details 
Data Sources:
Amazon Review Dataset from McAuley-Lab focused on Amazon Fashion
Methodology:
Further pretraining on a causal language modeling (CLM) objective with English Amazon Product Reviews from the Fashion category.
LLM NameGPT2 Review
Repository 🤗https://huggingface.co/TomData/GPT2-review 
Base Model(s)  Gpt2 Medium   openai-community/gpt2-medium
Model Size354.8m
Required VRAM1.4 GB
Updated2025-02-05
MaintainerTomData
Model Typegpt2
Model Files  1.4 GB   0.0 GB
Supported Languagesen
Model ArchitectureGPT2LMHeadModel
Model Max Length1024
Transformers Version4.41.2
Tokenizer ClassGPT2Tokenizer
Padding Token<|pad|>
Vocabulary Size50259
Torch Data Typefloat32
Activation Functiongelu_new
Errorsreplace

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Note: green Score (e.g. "73.2") means that the model is better than TomData/GPT2-review.

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