---
library_name: transformers
base_model: Awesome075/pegasus-large-wcep10
tags:
- generated_from_trainer
model-index:
- name: pegasus-large-wcep10
  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. -->

# pegasus-large-wcep10

This model is a fine-tuned version of [Awesome075/pegasus-large-wcep10](https://huggingface.co/Awesome075/pegasus-large-wcep10) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 11.2750

## 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: 16
- seed: 42
- gradient_accumulation_steps: 8
- total_train_batch_size: 64
- optimizer: Use OptimizerNames.ADAFACTOR and the args are:
No additional optimizer arguments
- lr_scheduler_type: linear
- training_steps: 90

### Training results

| Training Loss | Epoch  | Step | Validation Loss |
|:-------------:|:------:|:----:|:---------------:|
| No log        | 0.2634 | 30   | 11.3390         |
| No log        | 0.5269 | 60   | 11.2907         |
| No log        | 0.7903 | 90   | 11.2750         |


### Framework versions

- Transformers 5.0.0
- Pytorch 2.10.0+cu128
- Datasets 4.8.3
- Tokenizers 0.22.2