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---
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: 0.0014
- Rouge1: 0.0294
- Rouge2: 0.0002
- Rougel: 0.0284
- Rougelsum: 0.0284
- 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 |
|:-------------:|:------:|:----:|:---------------:|:------:|:------:|:------:|:---------:|:-------:|
| 1.0352 | 0.0167 | 100 | 0.0099 | 0.0352 | 0.0002 | 0.0308 | 0.0308 | 60.0 |
| 0.0124 | 0.0334 | 200 | 0.0014 | 0.0294 | 0.0002 | 0.0284 | 0.0284 | 60.0 |
### Framework versions
- Transformers 4.40.1
- Pytorch 2.2.1+cu121
- Datasets 2.19.0
- Tokenizers 0.19.1
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