|
--- |
|
tags: |
|
- generated_from_trainer |
|
datasets: |
|
- xsum |
|
metrics: |
|
- rouge |
|
model-index: |
|
- name: large-3-3 |
|
results: |
|
- task: |
|
name: Summarization |
|
type: summarization |
|
dataset: |
|
name: xsum |
|
type: xsum |
|
config: default |
|
split: validation |
|
args: default |
|
metrics: |
|
- name: Rouge1 |
|
type: rouge |
|
value: 38.9375 |
|
--- |
|
|
|
<!-- 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. --> |
|
|
|
# large-3-3 |
|
|
|
This model is a fine-tuned version of [x/large-3-3/](https://huggingface.co/x/large-3-3/) on the xsum dataset. |
|
It achieves the following results on the evaluation set: |
|
- Loss: 1.7469 |
|
- Rouge1: 38.9375 |
|
- Rouge2: 15.8853 |
|
- Rougel: 31.2177 |
|
- Rougelsum: 31.2093 |
|
- Gen Len: 26.5882 |
|
|
|
## 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: 0.0001 |
|
- train_batch_size: 16 |
|
- eval_batch_size: 32 |
|
- seed: 42 |
|
- gradient_accumulation_steps: 4 |
|
- total_train_batch_size: 64 |
|
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
|
- lr_scheduler_type: constant |
|
- num_epochs: 3.0 |
|
|
|
### Training results |
|
|
|
|
|
|
|
### Framework versions |
|
|
|
- Transformers 4.27.0.dev0 |
|
- Pytorch 1.13.1+cu117 |
|
- Datasets 2.10.0 |
|
- Tokenizers 0.13.2 |
|
|
