---
tags:
- generated_from_trainer
model-index:
- name: sum_model
  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. -->

# sum_model

This model was trained from scratch on the None dataset.
It achieves the following results on the evaluation set:
- eval_loss: 2.3716
- eval_rouge1: 0.1884
- eval_rouge2: 0.0617
- eval_rougeL: 0.1504
- eval_rougeLsum: 0.1505
- eval_gen_len: 18.8567
- eval_runtime: 68.4902
- eval_samples_per_second: 21.901
- eval_steps_per_second: 1.095
- epoch: 2.0
- step: 2142

## 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: 2e-05
- train_batch_size: 20
- eval_batch_size: 20
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 4

### Framework versions

- Transformers 4.38.2
- Pytorch 2.2.1+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2