bart-large-xsum / README.md
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---
license: apache-2.0
base_model: facebook/bart-large
tags:
- generated_from_trainer
model-index:
- name: bart-large
results: []
datasets:
- EdinburghNLP/xsum
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# bart-large
This model is a fine-tuned version for single sentence summarization of [facebook/bart-large](https://huggingface.co/facebook/bart-large) on the EdinburghNLP/XSum dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
Trained on 9k rows of data.
## Training procedure
### Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 2e-05
- train_batch_size: 1
- seed: 42
- gradient_accumulation_steps: 2
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 0.1
- num_epochs: 4
- mixed_precision_training: Native AMP
### Training results
### Framework versions
- Transformers 4.38.2
- Pytorch 2.2.1+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2