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metadata
license: mit
base_model: gpt2
tags:
  - generated_from_trainer
model-index:
  - name: gpt2_oasst2_curated
    results: []
datasets:
  - sablo/oasst2_curated
language:
  - en
pipeline_tag: text-generation
widget:
  - text: Who is the president of the United States?
  - text: Hi, my name is Superman. How are you!
  - text: Do you know the history of Chelsea Football Club?
inference:
  parameters:
    max_length: 128
    penalty_alpha: 0.6
    top_k: 6
    pad_token_id: 50256
    eos_token_id: 50256
library_name: transformers.js

gpt2_oasst2_curated_onnx

This model is a fine-tuned version of gpt2 on sablo/oasst2_curated dataset

Model description

For experimental purpose - chatbot

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: 0.0005
  • train_batch_size: 32
  • eval_batch_size: 32
  • seed: 42
  • gradient_accumulation_steps: 8
  • total_train_batch_size: 256
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: cosine
  • lr_scheduler_warmup_steps: 1000
  • num_epochs: 20
  • mixed_precision_training: Native AMP

Training results

Framework versions

  • Transformers 4.33.2
  • Pytorch 2.0.0
  • Datasets 2.16.1
  • Tokenizers 0.15.0
  • optimum 1.13.2
  • onnx 1.13.1
  • onnxruntime 1.15.1