---
license: apache-2.0
tags:
- generated_from_trainer
model-index:
- name: results
  results: []
---

<!-- 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. -->

# results

This model is a fine-tuned version of [sshleifer/distilbart-xsum-12-3](https://huggingface.co/sshleifer/distilbart-xsum-12-3) on the [knkarthick/AMI](https://huggingface.co/datasets/knkarthick/AMI), [knkarthick/dialogsum](https://huggingface.co/datasets/knkarthick/dialogsum), and [samsum](https://huggingface.co/datasets/samsum) datasets.
It achieves the following results on the evaluation set:
- eval_loss: 3.0155
- eval_rouge1: 46.2466
- eval_rouge2: 21.7289
- eval_rougeL: 38.0362
- eval_rougeLsum: 41.8935
- eval_gen_len: 25.8284
- eval_runtime: 554.679
- eval_samples_per_second: 5.609
- eval_steps_per_second: 1.403
- epoch: 0.33
- step: 2317

## 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: 4
- eval_batch_size: 4
- 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: 1
- label_smoothing_factor: 0.1

### Framework versions

- Transformers 4.28.1
- Pytorch 2.0.0+cu118
- Datasets 2.11.0
- Tokenizers 0.13.3