---
base_model: google/pegasus-cnn_dailymail
tags:
- generated_from_trainer
metrics:
- rouge
- precision
- recall
- f1
model-index:
- name: LLM_Teached_PEGASUS_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_PEGASUS_CNNDM

This model is a fine-tuned version of [google/pegasus-cnn_dailymail](https://huggingface.co/google/pegasus-cnn_dailymail) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 1.8217
- Rouge1: 0.4508
- Rouge2: 0.1963
- Rougel: 0.332
- Rougelsum: 0.3319
- Gen Len: 48.3173
- Precision: 0.9046
- Recall: 0.9045
- F1: 0.9044

## 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: 8
- eval_batch_size: 4
- seed: 42
- gradient_accumulation_steps: 4
- 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 | Precision | Recall | F1     |
|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|:-------:|:---------:|:------:|:------:|
| 2.1425        | 1.0   | 625  | 1.8475          | 0.4458 | 0.193  | 0.3283 | 0.3284    | 48.1127 | 0.9038    | 0.9037 | 0.9036 |
| 1.9247        | 2.0   | 1250 | 1.8217          | 0.4508 | 0.1963 | 0.332  | 0.3319    | 48.3173 | 0.9046    | 0.9045 | 0.9044 |


### Framework versions

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