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JudgeLLM2

Text Classification
Transformers
Safetensors
English
gpt2
text-generation-inference
causal-language-model
conversational
question-answering
Inference Endpoints
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metadata
tags:
  - text-generation-inference
  - causal-language-model
  - conversational
  - question-answering
  - text-classification
model-index:
  - name: JudgeLLM2
    results: []
language:
  - en
library_name: transformers
license: wtfpl
datasets:
  - wikimedia/wikipedia
  - rajpurkar/squad
metrics:
  - accuracy
  - f1
base_model: Wonder-Griffin/JudgeLLM

JudgeLLM2

This model was trained from scratch on wikipedia and squad v1.0

Model description

More information needed

Intended uses & limitations

More information needed

Training and evaluation data

More information needed

Training procedure

Training hyperparameters

The following hyperparameters were used during training:

  • learning_rate: 5e-05
  • train_batch_size: 16
  • eval_batch_size: 8
  • seed: 42
  • gradient_accumulation_steps: 4
  • total_train_batch_size: 64
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • num_epochs: 10

Training results

Framework versions

  • Transformers 4.43.3
  • Pytorch 2.4.0+cu124
  • Datasets 2.20.0
  • Tokenizers 0.19.1