metadata

language:
  - en
license: apache-2.0
base_model: facebook/bart-base
tags:
  - summarization
  - generated_from_trainer
datasets:
  - kdave/Indian_Financial_News
model-index:
  - name: bart-base-summarization
    results: []

bart-base-summarization

This model is a fine-tuned version of facebook/bart-base on the News Dataset dataset. It achieves the following results on the evaluation set:

Loss: 0.5704

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: 2
eval_batch_size: 2
seed: 42
gradient_accumulation_steps: 16
total_train_batch_size: 32
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 500
num_epochs: 1

Training results

Training Loss	Epoch	Step	Validation Loss
0.646	0.6594	500	0.5704

Framework versions

Transformers 4.44.0
Pytorch 2.3.1+cu121
Datasets 2.21.0
Tokenizers 0.19.1