---
base_model: google/pegasus-cnn_dailymail
tags:
- generated_from_trainer
model-index:
- name: cot_results
  results: []
---

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

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: 1.1160

## 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: 10
- eval_batch_size: 10
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 5
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| No log        | 1.0   | 300  | 7.7991          |
| 7.8435        | 2.0   | 600  | 2.6112          |
| 7.8435        | 3.0   | 900  | 1.2209          |
| 2.9736        | 4.0   | 1200 | 1.1317          |
| 1.6755        | 5.0   | 1500 | 1.1160          |


### Framework versions

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