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# pegasus-x-large_readme_summarization

This model is a fine-tuned version of [google/pegasus-x-large](https://huggingface.co/google/pegasus-x-large) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 1.9470
- Rouge1: 0.4688
- Rouge2: 0.3365
- Rougel: 0.4384
- Rougelsum: 0.4396
- Gen Len: 54.47

## 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: 1
- eval_batch_size: 1
- 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 | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
|:-------------:|:-----:|:-----:|:---------------:|:------:|:------:|:------:|:---------:|:-------:|
| 2.1846        | 1.0   | 5831  | 2.0536          | 0.4359 | 0.3076 | 0.4069 | 0.4073    | 59.759  |
| 1.9702        | 2.0   | 11662 | 1.9768          | 0.4494 | 0.3191 | 0.4212 | 0.4215    | 61.4376 |
| 1.8496        | 3.0   | 17493 | 1.9549          | 0.4614 | 0.3288 | 0.432  | 0.4325    | 59.9676 |
| 1.6699        | 4.0   | 23324 | 1.9470          | 0.4688 | 0.3365 | 0.4384 | 0.4396    | 54.47   |


### Framework versions

- Transformers 4.35.1
- Pytorch 2.1.0+cu121
- Datasets 2.14.6
- Tokenizers 0.14.1

{"tags": ["generated_from_trainer"], "metrics": ["rouge"], "base_model": "google/pegasus-x-large", "model-index": [{"name": "pegasus-x-large_readme_summarization", "results": []}]}
transformers safetensors pegasus_x text2text-generation generated_from_trainer base_model:google/pegasus-x-large autotrain_compatible endpoints_compatible region:us