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---
library_name: transformers
license: apache-2.0
base_model: sshleifer/distilbart-cnn-12-6
tags:
- generated_from_trainer
datasets:
- samsum
metrics:
- rouge
model-index:
- name: distilbart-cnn-12-6-finetuned-samsum
results:
- task:
name: Sequence-to-sequence Language Modeling
type: text2text-generation
dataset:
name: samsum
type: samsum
config: samsum
split: validation
args: samsum
metrics:
- name: Rouge1
type: rouge
value: 41.0557
---
<!-- 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-cnn-12-6-finetuned-samsum
This model is a fine-tuned version of [sshleifer/distilbart-cnn-12-6](https://huggingface.co/sshleifer/distilbart-cnn-12-6) on the samsum dataset.
It achieves the following results on the evaluation set:
- Loss: 0.5040
- Rouge1: 41.0557
- Rouge2: 20.8627
- Rougel: 31.6375
- Rougelsum: 38.3023
## 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: 2e-05
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3
### Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum |
|:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|:-------:|:---------:|
| 0.5843 | 1.0 | 921 | 0.5095 | 40.4545 | 21.2232 | 31.2992 | 37.9698 |
| 0.4562 | 2.0 | 1842 | 0.5010 | 40.9057 | 21.0576 | 31.4701 | 38.2105 |
| 0.3938 | 3.0 | 2763 | 0.5040 | 41.0557 | 20.8627 | 31.6375 | 38.3023 |
### Framework versions
- Transformers 4.44.2
- Pytorch 2.4.1+cu121
- Datasets 3.0.1
- Tokenizers 0.19.1
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