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