---
license: mit
base_model: facebook/bart-large-cnn
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: LLM_Teached_BART_CNNDM
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# LLM_Teached_BART_CNNDM

This model is a fine-tuned version of [facebook/bart-large-cnn](https://huggingface.co/facebook/bart-large-cnn) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 1.6578
- Rouge1: 0.4481
- Rouge2: 0.1889
- Rougel: 0.319
- Rougelsum: 0.3189
- Gen Len: 80.76

## 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: 8
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 32
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 2
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|:-------:|
| 1.705         | 1.0   | 625  | 1.6702          | 0.4428 | 0.1879 | 0.3156 | 0.3154    | 82.54   |
| 1.4845        | 2.0   | 1250 | 1.6578          | 0.4481 | 0.1889 | 0.319  | 0.3189    | 80.76   |


### Framework versions

- Transformers 4.36.0
- Pytorch 2.0.1+cu117
- Datasets 2.14.5
- Tokenizers 0.15.0