metadata

license: mit
base_model: philschmid/bart-large-cnn-samsum
tags:
  - generated_from_trainer
model-index:
  - name: bart-large-cnn-samsum-finetuned-stocknews_2000_trial_1
    results: []

bart-large-cnn-samsum-finetuned-stocknews_2000_trial_1

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: 5e-05
train_batch_size: 8
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 16
total_train_batch_size: 128
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

Framework versions

Transformers 4.38.1
Pytorch 2.1.2
Datasets 2.1.0
Tokenizers 0.15.2