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---
base_model: google/pegasus-cnn_dailymail
tags:
- generated_from_trainer
- dialog summarizer
model-index:
- name: pegasus-finetuned-dialog-summarizer
results: []
license: apache-2.0
datasets:
- samsum
metrics:
- rouge
library_name: transformers
widget:
- text: "Ernest: hey Mike, did you park your car on our street? Mike: no, took it into garage today Ernest: ok good Mike: why? Ernest: someone just crashed into a red honda looking just like yours Mike: lol lucky me."
- text: "Laura: Where are you? Paul: Almost there. Laura: Which is? Paul: Close to the Mac. Laura: That's so far away! Paul: 15 mins Laura: I am not waiting any more, see you some other time. Paul: Please, wait! Laura: I've waited 30 minutes, 15 minutes ago you wrote you were almost here. This is too much. Paul: I am so sorry. Laura: I am not."
- text: "Lola: hey girlfriend, what's up? Adele: Oh, hi Lols, not much. Adele: got a new dog. Lola: another one? Adele: Yup. a pup biscuit lab. 4 months. Chewy. Lola: how did the others react? Adele: the cats keep their distance, Poppy and Lulu seem to mother him. Speedy wants to play. Lola: no fighting? that's new. Adele: they say puppies are accepted by other animals more easily than older dogs Lola: especially girl dogs, probably Adele: with the other ones I had to wean them because I took them in as adult dogs. And girls like to fight. like crazy. Lola: doggies, right/. Adele: that too :P Lola: haha. true though. Adele: I know, right. Anyway, called him Bones. He's so plump it kinda fit. Lola: cute. can't wait to see him."
- text: "Ali: I think I left my wallet at your place yesterday. Could you check? Garcia: Give me a sec, I'll have a look around my room. Ali: OK. Garcia: Found it! Ali: Phew, I don't know what I'd do if it wasn't there. Can you bring it to uni tomorrow? Garcia: Sure thing."
---
<!-- 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-finetuned-dialog-summarizer
This model is a fine-tuned version of [google/pegasus-cnn_dailymail](https://huggingface.co/google/pegasus-cnn_dailymail) on the samsum dataset.
It achieves the following results on the evaluation set:
- Loss: 1.4894
## 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: 1
- eval_batch_size: 1
- seed: 42
- gradient_accumulation_steps: 16
- total_train_batch_size: 16
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- num_epochs: 1
### Training results
| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 1.6489 | 0.54 | 500 | 1.4894 |
### Framework versions
- Transformers 4.37.2
- Pytorch 2.1.0+cu121
- Datasets 2.17.1
- Tokenizers 0.15.2 |