|
--- |
|
license: apache-2.0 |
|
base_model: Falconsai/text_summarization |
|
tags: |
|
- summarization |
|
- generated_from_trainer |
|
metrics: |
|
- rouge |
|
model-index: |
|
- name: text_summarization-cnn |
|
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. --> |
|
|
|
# text_summarization-cnn |
|
|
|
This model is a fine-tuned version of [Falconsai/text_summarization](https://huggingface.co/Falconsai/text_summarization) on an unknown dataset. |
|
It achieves the following results on the evaluation set: |
|
- Loss: 1.6288 |
|
- Rouge1: 0.2455 |
|
- Rouge2: 0.1187 |
|
- Rougel: 0.203 |
|
- Rougelsum: 0.2317 |
|
|
|
## 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: 5.6e-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: 2 |
|
|
|
### Training results |
|
|
|
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | |
|
|:-------------:|:-----:|:-----:|:---------------:|:------:|:------:|:------:|:---------:| |
|
| 1.8226 | 1.0 | 17431 | 1.6400 | 0.2449 | 0.1178 | 0.2024 | 0.2311 | |
|
| 1.7775 | 2.0 | 34862 | 1.6288 | 0.2455 | 0.1187 | 0.203 | 0.2317 | |
|
|
|
|
|
### Framework versions |
|
|
|
- Transformers 4.39.3 |
|
- Pytorch 2.2.2+cu121 |
|
- Datasets 2.18.0 |
|
- Tokenizers 0.15.2 |
|
|
