Qiliang/bart-large-cnn-samsum-ChatGPT_v3 converted to ONNX and quantized using optimum.

bart-large-cnn-samsum-ChatGPT_v3

This model is a fine-tuned version of philschmid/bart-large-cnn-samsum on an unknown dataset.

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: 2e-05
• train_batch_size: 4
• eval_batch_size: 4
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 3
• mixed_precision_training: Native AMP

Framework versions

• Transformers 4.24.0
• Pytorch 1.12.1
• Datasets 2.6.1
• Tokenizers 0.13.2