---
license: apache-2.0
base_model: mrm8488/bert-mini2bert-mini-finetuned-cnn_daily_mail-summarization
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: bert-mini2bert-mini-finetuned-cnn_daily_mail-summarization-finetuned-cnndaily
  results: []
---

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# bert-mini2bert-mini-finetuned-cnn_daily_mail-summarization-finetuned-cnndaily

This model is a fine-tuned version of [mrm8488/bert-mini2bert-mini-finetuned-cnn_daily_mail-summarization](https://huggingface.co/mrm8488/bert-mini2bert-mini-finetuned-cnn_daily_mail-summarization) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 2.5035
- Rouge1: 39.9928
- Rouge2: 17.5649
- Rougel: 26.9635
- Rougelsum: 36.7394
- Gen Len: 72.8086

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

### Training results

| Training Loss | Epoch | Step  | Validation Loss | Rouge1  | Rouge2  | Rougel  | Rougelsum | Gen Len |
|:-------------:|:-----:|:-----:|:---------------:|:-------:|:-------:|:-------:|:---------:|:-------:|
| 2.661         | 1.0   | 17945 | 2.5035          | 39.9928 | 17.5649 | 26.9635 | 36.7394   | 72.8086 |


### Framework versions

- Transformers 4.39.3
- Pytorch 2.1.2
- Datasets 2.18.0
- Tokenizers 0.15.2