---
library_name: transformers
license: apache-2.0
base_model: philschmid/distilbart-cnn-12-6-samsum
tags:
- generated_from_trainer
model-index:
- name: distilbart-pubmed-20k_mid_truncate
  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. -->

# distilbart-pubmed-20k_mid_truncate

This model is a fine-tuned version of [philschmid/distilbart-cnn-12-6-samsum](https://huggingface.co./philschmid/distilbart-cnn-12-6-samsum) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 1.4878

## 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 |
|:-------------:|:------:|:----:|:---------------:|
| 1.5098        | 0.7477 | 500  | 1.4878          |


### Framework versions

- Transformers 4.44.2
- Pytorch 2.4.1+cu121
- Datasets 3.0.1
- Tokenizers 0.19.1