---
license: apache-2.0
base_model: Koshti10/BART-large-ET-Synthetic
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: BART_large_Synthetic_Gameplan
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# BART_large_Synthetic_Gameplan

This model is a fine-tuned version of [Koshti10/BART-large-ET-Synthetic](https://huggingface.co/Koshti10/BART-large-ET-Synthetic) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 2.2557
- Rouge1: 38.2255
- Rouge2: 27.7473
- Rougel: 35.4392
- Rougelsum: 35.414
- Gen Len: 19.2554

## 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
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- num_epochs: 20
- label_smoothing_factor: 0.1

### Training results



### Framework versions

- Transformers 4.33.2
- Pytorch 2.0.1+cu118
- Datasets 2.14.5
- Tokenizers 0.13.3