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---
license: apache-2.0
base_model: tuner007/pegasus_summarizer
tags:
- simplification
- generated_from_trainer
metrics:
- bleu
model-index:
- name: pegasus-trial
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-trial
This model is a fine-tuned version of [tuner007/pegasus_summarizer](https://huggingface.co/tuner007/pegasus_summarizer) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.2040
- Bleu: 78.9331
- Gen Len: 25.4062
## 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: 3
- eval_batch_size: 3
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 2
### Training results
| Training Loss | Epoch | Step | Validation Loss | Bleu | Gen Len |
|:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|
| 0.2604 | 1.0 | 1171 | 0.3016 | 77.0102 | 25.2188 |
| 0.1384 | 2.0 | 2342 | 0.2040 | 78.9331 | 25.4062 |
### Framework versions
- Transformers 4.37.2
- Pytorch 2.1.0+cu121
- Datasets 2.17.1
- Tokenizers 0.15.2
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