---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- cnn_dailymail
model-index:
- name: BERT2BERT_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. -->

# BERT2BERT_Model

This model is a fine-tuned version of [patrickvonplaten/bert2bert_cnn_daily_mail](https://huggingface.co/patrickvonplaten/bert2bert_cnn_daily_mail) on the cnn_dailymail dataset.
It achieves the following results on the evaluation set:
- Loss: 1.9217

## 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: 1e-05
- train_batch_size: 32
- eval_batch_size: 32
- seed: 42
- 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 |
|:-------------:|:-----:|:----:|:---------------:|
| No log        | 1.0   | 63   | 1.9514          |
| No log        | 2.0   | 126  | 1.9279          |
| No log        | 3.0   | 189  | 1.9223          |
| No log        | 4.0   | 252  | 1.9217          |


### Framework versions

- Transformers 4.29.2
- Pytorch 2.0.1+cu118
- Datasets 2.12.0
- Tokenizers 0.13.3