autoevaluator
HF staff
Add evaluation results on the autoevaluate--xsum-sample config and test split of autoevaluate/xsum-sample
70b84e5
license: apache-2.0 | |
tags: | |
- generated_from_trainer | |
- summarization | |
datasets: | |
- xsum | |
- autoevaluate/xsum-sample | |
metrics: | |
- rouge | |
duplicated_from: autoevaluate/summarization | |
model-index: | |
- name: autoevaluate/summarization-not-evaluated | |
results: | |
- task: | |
type: summarization | |
name: Summarization | |
dataset: | |
name: autoevaluate/xsum-sample | |
type: autoevaluate/xsum-sample | |
config: autoevaluate--xsum-sample | |
split: test | |
metrics: | |
- type: rouge | |
value: 18.3582 | |
name: ROUGE-1 | |
verified: true | |
verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiOTU5NWM4NDBkNzExNGFjYTczMDQzMDJhZTRjOGVkY2Q2N2ZjZDAxNWU4YzVjMmNiZGFlM2JiM2YzMjdhM2EyNSIsInZlcnNpb24iOjF9.3TQeweFaWRhylW8P84o1BeZnXMeZurVRmJjqAW3P-JX-RqiBVVMlxohlo1hvmew6VyZpNvk-4oJYGav1bp-nBw | |
- type: rouge | |
value: 3.0753 | |
name: ROUGE-2 | |
verified: true | |
verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiNmZkNjRmY2RlOGZjZjY3NWI3ZWZlMTY4NGY0MGQyZjVmYWU0MmM3ZmEyM2FjZjUxNTBmYmE5NjIxOThmMGNiNSIsInZlcnNpb24iOjF9.Sn8fPL9J0lYiS7Co3JtDa6-sVQeYfHiN03nXigvj3FwfifPsdBMntylEWYuW3YU3i3PfQwCDbLNzEnEzKf08Cg | |
- type: rouge | |
value: 14.8475 | |
name: ROUGE-L | |
verified: true | |
verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiMDQwOWJhMGQzMjUxN2ExNTczYzMxYjJmMmU5ODRjOWJmYjM4M2IyM2M5ZDM2ZWRmOTMwNGU3ZDMwMmU3ZjdjYyIsInZlcnNpb24iOjF9.bMlmjRiEQcu7dlqNdPgLRkbboZnK5n6GQMsQj1QgCDBPi0Sgm20F5PBMRuHVGnlmeVJqB7h4Wyy2y-BJdYBsBA | |
- type: rouge | |
value: 14.8505 | |
name: ROUGE-LSUM | |
verified: true | |
verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiNjA2NmUxNmFjMTEwZTFjYTY3YjI5M2VhNWFhYjI3MTZiOTgzMDYyYTRlMzFhOTQzNjc4MDk0YzA1MGU4Y2E4YyIsInZlcnNpb24iOjF9.XMjH9oYTWQ7sZ_8faF21d4vSI_fzexfRDbD_Ba8jAqD3dspUa51ay0QHtGvhVs3NmZV_J41OzSZ96NftgiE3BA | |
- type: loss | |
value: 3.009582281112671 | |
name: loss | |
verified: true | |
verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiOThlOWVmZTYxZjQzYmRlMDEwZWVmMjg0NjBmMGM4ZGViZThmZWIxYjYzMWE1OGNkNjMzMGI4OTdhMzRiMjg4ZSIsInZlcnNpb24iOjF9.TCodikvSbl22UPa2AJqMWoADTaUGyF-ALxCq1PX-c8YLIe_b_dVN29yMNNobQS52kg8MDG9yYWgD6AdscV2vAQ | |
- type: gen_len | |
value: 18.05 | |
name: gen_len | |
verified: true | |
verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiYjZhNmYxNjYxNTQ4MzA0YTNhYTIwMzVhZTNlMGE5MmI5M2JkZDY4MzA3YTY1Zjk4NjRhNjY5NjcxYjcwYmU3NSIsInZlcnNpb24iOjF9.JKyvAJB5uFL6srWzoj9P_OIK9tnT7GW8mGPFVNrY6SxjbupdIry2iPrM5YpBdt6sLeS5_DgdP80OGGjwfwBiBQ | |
<!-- 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. --> | |
# summarization | |
This model is a fine-tuned version of [t5-small](https://huggingface.co/t5-small) on the xsum dataset. | |
It achieves the following results on the evaluation set: | |
- Loss: 2.6690 | |
- Rouge1: 23.9405 | |
- Rouge2: 5.0879 | |
- Rougel: 18.4981 | |
- Rougelsum: 18.5032 | |
- Gen Len: 18.7376 | |
## 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: 16 | |
- eval_batch_size: 16 | |
- seed: 42 | |
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 | |
- lr_scheduler_type: linear | |
- training_steps: 1000 | |
- mixed_precision_training: Native AMP | |
### Training results | |
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len | | |
|:-------------:|:-----:|:----:|:---------------:|:-------:|:------:|:-------:|:---------:|:-------:| | |
| 2.9249 | 0.08 | 1000 | 2.6690 | 23.9405 | 5.0879 | 18.4981 | 18.5032 | 18.7376 | | |
### Framework versions | |
- Transformers 4.19.2 | |
- Pytorch 1.11.0+cu113 | |
- Datasets 2.2.2 | |
- Tokenizers 0.12.1 | |