---
tags:
- generated_from_trainer
model-index:
- name: dialogsum_ds
  results: []
widget:
 - text: "A: I'm so thirsty. B: Let's go get something to drink. A: That's a good idea. B: Do you know what you want to drink? A: I kind of want a soda. B: You shouldn't drink soda when you're really thirsty. A: What do you mean? B: When you're thirsty, you're not supposed to drink soda. A: What are you supposed to drink? B: Water is what's best for you. A: I guess I will get water. B: It's better for you."
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# dialogsum_ds

This model is a fine-tuned on cnn_dailymail dataset.
It achieves the following results on the evaluation set:
- Loss: 1.1124

## 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: 10
- total_train_batch_size: 10
- 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 |
|:-------------:|:-----:|:----:|:---------------:|
| 1.344         | 0.4   | 500  | 1.1821          |
| 1.1234        | 0.8   | 1000 | 1.1124          |


### Framework versions

- Transformers 4.16.2
- Pytorch 2.1.0+cu121
- Datasets 2.0.0
- Tokenizers 0.15.0