---
base_model: google/pegasus-cnn_dailymail
tags:
- generated_from_trainer
model-index:
- name: CoT-multiDomain-Summ
  results: []
---

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

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: 1.1456

## 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: 5e-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 4

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| No log        | 1.0   | 438  | 1.2374          |
| 4.18          | 2.0   | 876  | 1.1642          |
| 1.1654        | 3.0   | 1314 | 1.1482          |
| 1.0725        | 4.0   | 1752 | 1.1456          |


### Framework versions

- Transformers 4.41.1
- Pytorch 2.3.0+cu118
- Datasets 2.19.1
- Tokenizers 0.19.1