fr-summarization / README.md
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---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- GEM/wiki_lingua
metrics:
- rouge
model-index:
- name: fr-summarization
results:
- task:
name: Summarization
type: summarization
dataset:
name: GEM/wiki_lingua fr
type: GEM/wiki_lingua
config: fr
split: validation
args: fr
metrics:
- name: Rouge1
type: rouge
value: 100.0
---
<!-- 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. -->
# fr-summarization
This model is a fine-tuned version of [t5-small](https://huggingface.co/t5-small) on the GEM/wiki_lingua fr dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0000
- Rouge1: 100.0
- Rouge2: 100.0
- Rougel: 100.0
- Rougelsum: 100.0
- Gen Len: 13.9390
## 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: 5e-05
- train_batch_size: 4
- eval_batch_size: 4
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3.0
### Training results
### Framework versions
- Transformers 4.31.0.dev0
- Pytorch 2.0.1+cu118
- Datasets 2.12.0
- Tokenizers 0.13.3