---
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: bert-base-cnn-ft
  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. -->

# bert-base-cnn-ft

This model is a fine-tuned version of [](https://huggingface.co/) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0012
- Rouge1: 0.0309
- Rouge2: 0.0002
- Rougel: 0.0293
- Rougelsum: 0.0294
- Gen Len: 60.0

## 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: 1e-05
- train_batch_size: 12
- eval_batch_size: 12
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 1
- training_steps: 200
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch  | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
|:-------------:|:------:|:----:|:---------------:|:------:|:------:|:------:|:---------:|:-------:|
| 1.1563        | 0.0167 | 100  | 0.0032          | 0.0272 | 0.0001 | 0.0256 | 0.0256    | 60.0    |
| 0.014         | 0.0334 | 200  | 0.0012          | 0.0309 | 0.0002 | 0.0293 | 0.0294    | 60.0    |


### Framework versions

- Transformers 4.40.1
- Pytorch 2.2.1+cu121
- Datasets 2.19.0
- Tokenizers 0.19.1