---
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: SummarEaseElementaryV2
  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. -->

# SummarEaseElementaryV2

This model was trained from scratch on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 2.3269
- Rouge1: 0.1335
- Rouge2: 0.0509
- Rougel: 0.1066
- Rougelsum: 0.1075
- Gen Len: 20.0

## 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: 4
- eval_batch_size: 4
- seed: 42
- gradient_accumulation_steps: 16
- total_train_batch_size: 64
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 4
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|:-------:|
| No log        | 1.0   | 1    | 2.3970          | 0.0914 | 0.0227 | 0.0746 | 0.0745    | 20.0    |
| No log        | 2.0   | 2    | 2.3609          | 0.1195 | 0.0397 | 0.0957 | 0.0962    | 20.0    |
| No log        | 3.0   | 3    | 2.3386          | 0.1323 | 0.0496 | 0.1066 | 0.1075    | 20.0    |
| No log        | 4.0   | 4    | 2.3269          | 0.1335 | 0.0509 | 0.1066 | 0.1075    | 20.0    |


### Framework versions

- Transformers 4.42.4
- Pytorch 2.3.1+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1