---
base_model: google/pegasus-cnn_dailymail
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: amtibot_pegasus
  results: []
library_name: peft
---

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

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: 1.7407
- Rouge1: 0.4605
- Rouge2: 0.2395
- Rougel: 0.3705
- Rougelsum: 0.3708
- Gen Len: 38.2468

## 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: 0.02
- train_batch_size: 4
- eval_batch_size: 4
- seed: 42
- gradient_accumulation_steps: 8
- total_train_batch_size: 32
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 4
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch  | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
|:-------------:|:------:|:----:|:---------------:|:------:|:------:|:------:|:---------:|:-------:|
| No log        | 0.9351 | 9    | 2.0456          | 0.4419 | 0.2278 | 0.3636 | 0.3641    | 37.7013 |
| No log        | 1.9740 | 19   | 1.8250          | 0.4601 | 0.2424 | 0.3764 | 0.3765    | 38.2597 |
| No log        | 2.9091 | 28   | 1.7724          | 0.4638 | 0.2365 | 0.3724 | 0.372     | 36.5195 |
| No log        | 3.7403 | 36   | 1.7407          | 0.4605 | 0.2395 | 0.3705 | 0.3708    | 38.2468 |


### Framework versions

- PEFT 0.4.0
- Transformers 4.40.1
- Pytorch 2.1.2
- Datasets 2.18.0
- Tokenizers 0.19.1