---
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: LLM_Teached_Pegasus
  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. -->

# LLM_Teached_Pegasus

This model was trained from scratch on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 1.6452
- Rouge1: 0.4595
- Rouge2: 0.2033
- Rougel: 0.3629
- Rougelsum: 0.3628
- Gen Len: 30.8536

## 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: 8
- 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 |
|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|:-------:|
| 1.7637        | 1.0   | 625  | 1.6549          | 0.4591 | 0.205  | 0.3628 | 0.3628    | 30.8636 |
| 1.7226        | 2.0   | 1250 | 1.6452          | 0.4595 | 0.2033 | 0.3629 | 0.3628    | 30.8536 |


### Framework versions

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