
autoevaluator
HF Staff
Add evaluation results on the 3.0.0 config and test split of cnn_dailymail
f067a07
language: | |
- it | |
tags: | |
- summarization | |
datasets: | |
- ARTeLab/ilpost | |
metrics: | |
- rouge | |
base_model: gsarti/it5-base | |
model-index: | |
- name: summarization_ilpost | |
results: | |
- task: | |
type: summarization | |
name: Summarization | |
dataset: | |
name: cnn_dailymail | |
type: cnn_dailymail | |
config: 3.0.0 | |
split: test | |
metrics: | |
- type: rouge | |
value: 11.9368 | |
name: ROUGE-1 | |
verified: true | |
verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiMTc3NjJhNTQ2ZDFhODRlZTY2NzkwY2ZlYTg4ODA4NTljYjgzNDIxNjNiYmNhMGU4NGM3ODAyYmViNmE0ODc5MSIsInZlcnNpb24iOjF9.1CCU4dBPTTvC8R2HlTwBBkoxepw_C8m0DaghQwgaMX7pE5Q1G5jU7Pzjmd65HCHrIyam_zrkSuOb4Ka0ctoJCg | |
- type: rouge | |
value: 3.5366 | |
name: ROUGE-2 | |
verified: true | |
verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiYTE3NTFkYmFlYWM4NGI4ZDJlYzg3MzBjMTdlN2E5NTUwNjA3MDRlOGMyYTc0ZjkzNTk4MmU5MTgyOWIwZjVmYSIsInZlcnNpb24iOjF9.hxB8DNJYZZAmGhh4ivlsv2yV8p6SmvLQiCHAUIG1Um0XfRIexI9UahNw_MR2RBa_V8VdsInJXwiVuYALlx13DQ | |
- type: rouge | |
value: 9.9609 | |
name: ROUGE-L | |
verified: true | |
verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiYjFkNTI1MmQxMjkxN2ZlOWVkYjc1ZjlhMGQ5ZGQ3YmYzZDVlZDU0YTJiNmNhODdmY2MxY2IxNWYwMzE1NTdmNCIsInZlcnNpb24iOjF9.KpFReVOXMkjIhfcPrVO8CkmJwCtHTBvCh2Mx19Fw-aMH96bPcTgPM4GHa4gXOiyUym-olmrY5WV8rsg6ueX9AA | |
- type: rouge | |
value: 11.2114 | |
name: ROUGE-LSUM | |
verified: true | |
verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiYjRkMjg3ZDc2ZTAwNDk5ZjE3NTIyNGI4MmI3ZjllZWFkYTczYTFkN2NmYmE5ZmU0Y2E2OGM3OGIxNjA0MzllMSIsInZlcnNpb24iOjF9.NmJtZHXij-oV1E3pkR0GwRwVY5R_eGlJ0emLuY9HfK7iGCESwzMR6fk7Gh1w_15iEdCfaxgh6uE9oOLgFpE_BA | |
- type: loss | |
value: 8.635225296020508 | |
name: loss | |
verified: true | |
verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiZGYyZjYzZWZiYzIzNmI0NTEzNGYxNDljODFkMjE1Yzk1NzI2ZDcwYjYzNGVlZjc4NDc0NGM5ZjM2OTgwY2ExMSIsInZlcnNpb24iOjF9.D-g1NamsmrDUgcA20CQ57Mj9tHdQ5bpIjWuGtIy5ZQh_GBN5UN9wWslzm7mYEuPNWwzITR8fMtdBOLJv8xVABA | |
- type: gen_len | |
value: 18.9985 | |
name: gen_len | |
verified: true | |
verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiNzcyMmY4ODg3ZTdmOTc4NmRjYTc4MGI0NjBhYmFhMDc4NWUyNWVkMzI1NjU0MzE5MGNhODEyM2IyM2UxNzU4NSIsInZlcnNpb24iOjF9.mWqGs_wVk9CyBkYczl5sJp6YURbGzHE6tx_KNjpRIaF4B-8YfyM9pjrl_Q8kfPGrnPgLrJrURGC26Bza9kYUCw | |
# summarization_ilpost | |
This model is a fine-tuned version of [gsarti/it5-base](https://huggingface.co/gsarti/it5-base) on IlPost dataset for Abstractive Summarization. | |
It achieves the following results: | |
- Loss: 1.6020 | |
- Rouge1: 33.7802 | |
- Rouge2: 16.2953 | |
- Rougel: 27.4797 | |
- Rougelsum: 30.2273 | |
- Gen Len: 45.3175 | |
## Usage | |
```python | |
from transformers import T5Tokenizer, T5ForConditionalGeneration | |
tokenizer = T5Tokenizer.from_pretrained("ARTeLab/it5-summarization-ilpost") | |
model = T5ForConditionalGeneration.from_pretrained("ARTeLab/it5-summarization-ilpost") | |
``` | |
### Training hyperparameters | |
The following hyperparameters were used during training: | |
- learning_rate: 5e-05 | |
- train_batch_size: 6 | |
- eval_batch_size: 6 | |
- seed: 42 | |
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 | |
- lr_scheduler_type: linear | |
- num_epochs: 4.0 | |
### Framework versions | |
- Transformers 4.12.0.dev0 | |
- Pytorch 1.9.1+cu102 | |
- Datasets 1.12.1 | |
- Tokenizers 0.10.3 |