ibokajordan
/

BART_rag

text2text-generation

Generated from Trainer

Model card Files Files and versions

Metrics Training metrics Community

BART_rag

This model is a fine-tuned version of vngrs-ai/VBART-XLarge-Summarization on the None 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: 3e-05
train_batch_size: 1
eval_batch_size: 8
seed: 42
optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
num_epochs: 2

Training results

Framework versions

Transformers 4.51.3
Pytorch 2.6.0+cu124
Datasets 2.14.4
Tokenizers 0.21.1

Downloads last month: 4

Safetensors

Model size

0.7B params

Tensor type

F32

·

Inference Providers NEW

This model isn't deployed by any Inference Provider. 🙋 Ask for provider support

Model tree for ibokajordan/BART_rag

Base model

vngrs-ai/VBART-XLarge-Summarization

Finetuned

(2)

this model