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# pegasus-x-large-finetuned-samsum1000-1

This model is a fine-tuned version of [google/pegasus-x-large](https://huggingface.co/google/pegasus-x-large) on the samsum dataset.
It achieves the following results on the evaluation set:
- Loss: 1.4703
- Rouge1: 47.1327
- Rouge2: 22.7028
- Rougel: 39.9245
- Rougelsum: 43.0906

## 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: 5.6e-05
- train_batch_size: 2
- eval_batch_size: 1
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 1
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss | Rouge1  | Rouge2  | Rougel  | Rougelsum |
|:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|:-------:|:---------:|
| 1.7687        | 1.0   | 500  | 1.4703          | 47.1327 | 22.7028 | 39.9245 | 43.0906   |


### Framework versions

- Transformers 4.37.1
- Pytorch 2.1.0+cu121
- Datasets 2.16.1
- Tokenizers 0.15.1

{"tags": ["summarization", "generated_from_trainer"], "datasets": ["samsum"], "metrics": ["rouge"], "base_model": "google/pegasus-x-large", "model-index": [{"name": "pegasus-x-large-finetuned-samsum1000-1", "results": [{"task": {"type": "text2text-generation", "name": "Sequence-to-sequence Language Modeling"}, "dataset": {"name": "samsum", "type": "samsum", "config": "samsum", "split": "validation", "args": "samsum"}, "metrics": [{"type": "rouge", "value": 47.1327, "name": "Rouge1"}]}]}]}
transformers tensorboard safetensors pegasus_x text2text-generation summarization generated_from_trainer dataset:samsum base_model:google/pegasus-x-large model-index autotrain_compatible endpoints_compatible region:us