license: apache-2.0 | |
base_model: t5-small | |
tags: | |
- generated_from_trainer | |
metrics: | |
- rouge | |
model-index: | |
- name: my_awesome_newssum_model | |
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. --> | |
# my_awesome_newssum_model | |
This model is a fine-tuned version of [t5-small](https://huggingface.co/t5-small) on an unknown dataset. | |
It achieves the following results on the evaluation set: | |
- Loss: 0.3029 | |
- Rouge1: 0.1908 | |
- Rouge2: 0.1287 | |
- Rougel: 0.1738 | |
- Rougelsum: 0.174 | |
- Gen Len: 19.0 | |
## 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: 8 | |
- eval_batch_size: 8 | |
- seed: 42 | |
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 | |
- lr_scheduler_type: linear | |
- num_epochs: 4 | |
### Training results | |
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len | | |
|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|:-------:| | |
| No log | 1.0 | 223 | 0.3720 | 0.1844 | 0.121 | 0.1663 | 0.1665 | 19.0 | | |
| No log | 2.0 | 446 | 0.3240 | 0.1876 | 0.124 | 0.1692 | 0.1694 | 19.0 | | |
| 0.664 | 3.0 | 669 | 0.3072 | 0.1876 | 0.1244 | 0.1701 | 0.1704 | 19.0 | | |
| 0.664 | 4.0 | 892 | 0.3029 | 0.1908 | 0.1287 | 0.1738 | 0.174 | 19.0 | | |
### Framework versions | |
- Transformers 4.31.0 | |
- Pytorch 2.0.1+cu118 | |
- Datasets 2.14.1 | |
- Tokenizers 0.13.3 | |