|
--- |
|
tags: |
|
- generated_from_trainer |
|
- summarization |
|
datasets: |
|
- samsum |
|
model-index: |
|
- name: pegasus-samsum |
|
results: |
|
- task: |
|
type: summarization |
|
name: Summarization |
|
dataset: |
|
name: xsum |
|
type: xsum |
|
config: default |
|
split: test |
|
metrics: |
|
- type: rouge |
|
value: 21.9916 |
|
name: ROUGE-1 |
|
verified: true |
|
verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiMGM1NDhjZDQ0M2ZjZTgxMTg1OWM4NjdmMGI4ODQyNTU2OTQ0OTY2ODc4MWNhNzU4MWM2NTBhZTQ1YzdlMTllMSIsInZlcnNpb24iOjF9.JZWxpX_rKcfTW-QhTsI_TqhL8GdENnfRXPpB8P4W0u3VSS4WC133IqeP9SvD8gWXxeKxYEcjwRDd864v46kBCA |
|
- type: rouge |
|
value: 4.4258 |
|
name: ROUGE-2 |
|
verified: true |
|
verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiODE4ZjM2ZTg2MmRlZTYwNmY4NTU2OWUwODhiODI3ZDQ2MmFkNGI0MGRlOTBlYmJhZTVjNzM2Y2E4ZTBjMjBhNCIsInZlcnNpb24iOjF9.4KVR6h7JIHwDX0EbzS503EhVKIFY7MhMU9xLm5OzboYKRnI_8UrjijIVGkT68k20LdFfcVv2oddtcZkrM0CcBw |
|
- type: rouge |
|
value: 14.9274 |
|
name: ROUGE-L |
|
verified: true |
|
verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiMGU0ZTRhODdlYWNhOGU5YmRkNjU4YWU1MDlhOWZjODI1NGEzMDZkYWI4ZGE0YzBmYTk3ZTljOWM2MGI1NTQ5YiIsInZlcnNpb24iOjF9.0IwWROcDNkQOJ4reQd0zpjyMAeTV5_SG5mydpQZlTVzLlt1SpC6BhitaQFa3_eXcJ_H91JUjJIz9Gjqcow7KDQ |
|
- type: rouge |
|
value: 16.6553 |
|
name: ROUGE-LSUM |
|
verified: true |
|
verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiZGQ2YmFiZWU4ZGY0NzZiNjk1NjMxOTk4NzI0MTU1MDIwNjdmMGYzMWJiYWJhZTMzZjU3NWNiMDVhNTlmYWNmOCIsInZlcnNpb24iOjF9.GjiA4KFUWw1IWn5q1qRWo-B4BEg04xAe0Lkoi_2zlFcyDoJZUgk1_VHzpmK1F72NO5a55lE-GiMRRxJcES5vCA |
|
- type: loss |
|
value: 2.3909709453582764 |
|
name: loss |
|
verified: true |
|
verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiYzMxYTE4ZWUxZWU4ZGZhNWY0ZjA2ZGU2ZTc5N2FjMjA0ZjI5YTFmMzZmMGI0MDEyMGYzZTllM2I2ZWIxZGEwZSIsInZlcnNpb24iOjF9.BnmMbMl2n3cGwkb6C5BF7mesa6WmFp0EcoqYCdkIdXYdM8Jo2svmaUz-JniLLGVuj-UoAyvUfYQe1dXPPPZcBg |
|
- type: gen_len |
|
value: 54.1562 |
|
name: gen_len |
|
verified: true |
|
verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiNWJiNmZmMTIyNmNjOTExYzYyNmI5OGVjMTQwOGY3NDk1YTUwYzdlZWE4YmMwYWVmOTE0Mjg3MTEzYjEzMTgwNiIsInZlcnNpb24iOjF9.IisBh3s_yDr6nF-VwobRo8Fe63Qc8Ku_2KgNfjwv16yEPQd5kX8rCg056rT_DhtXzxTxNRMyXLKCodIewbaPAQ |
|
--- |
|
|
|
<!-- 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-samsum |
|
|
|
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: 1.4807 |
|
|
|
## Model description |
|
|
|
Generates dialogue summaries based on the samsum dataset. |
|
|
|
## 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: 15 |
|
- total_train_batch_size: 15 |
|
- 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 | |
|
|:-------------:|:-----:|:----:|:---------------:| |
|
| 1.5421 | 0.51 | 500 | 1.4807 | |
|
|
|
|
|
### Framework versions |
|
|
|
- Transformers 4.20.1 |
|
- Pytorch 1.11.0 |
|
- Datasets 2.1.0 |
|
- Tokenizers 0.12.1 |
|
|
