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autoevaluator
HF staff
Add evaluation results on the 3.0.0 config and test split of cnn_dailymail
13e66ee
license: apache-2.0 | |
tags: | |
- summarization | |
- generated_from_trainer | |
datasets: | |
- cnn_dailymail | |
metrics: | |
- rouge | |
model-index: | |
- name: bart-base-finetuned-cnn_dailymail | |
results: | |
- task: | |
type: text2text-generation | |
name: Sequence-to-sequence Language Modeling | |
dataset: | |
name: cnn_dailymail | |
type: cnn_dailymail | |
config: 3.0.0 | |
split: train | |
args: 3.0.0 | |
metrics: | |
- type: rouge | |
value: 0.35105989316705805 | |
name: Rouge1 | |
- task: | |
type: summarization | |
name: Summarization | |
dataset: | |
name: cnn_dailymail | |
type: cnn_dailymail | |
config: 3.0.0 | |
split: test | |
metrics: | |
- type: rouge | |
value: 24.5323 | |
name: ROUGE-1 | |
verified: true | |
verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiMTJlYjc4ODQ3ZTE5N2FhOGQ1YjAxZTg4M2RkYzYxZjk0ZTBjNjA2NjQyMDlhYmFjODI4MTAzNjAwNTRkNGVhZCIsInZlcnNpb24iOjF9.gsjbq7FimTwi1pYwEjWYWgC6Slv-ZVSmhxddMTlC7phgOFlYl5G6BRJae-Ml9a6kDJhesaElrD35ToWtndDABw | |
- type: rouge | |
value: 12.1475 | |
name: ROUGE-2 | |
verified: true | |
verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiZTc2MjZlZjE5NWE1ZDM0NmE2YjU0NDc1YzUxMTMzMGI3YTJlMWFkZjkwM2YyM2Q2NDI5M2U2N2Y2MzZmNGY1MSIsInZlcnNpb24iOjF9.DrRn2tAgmOK_Un-yDKvkfMLm9FbNUxOAvqB_n2ODNuuR1VRRXUxJB8cPzhYElbEm9XRqfE552wHEHvvnCCupDg | |
- type: rouge | |
value: 20.4203 | |
name: ROUGE-L | |
verified: true | |
verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiN2I0NmYyODFiOGJkMTZhY2Y2NWU4NWU0ZjU0ZTFhZmE4YWU3MTQ3ZjY0NjcyOGNhNzJjODQyYWE1ZGI2MjQ1MiIsInZlcnNpb24iOjF9.087YcSa5OhCOG1Er6BCVybvOAac4SuENP1gQYGpF4LraejxNLHu7kCJT2J5ZRL0w--in_88t22id02BWjUjCAA | |
- type: rouge | |
value: 23.0696 | |
name: ROUGE-LSUM | |
verified: true | |
verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiZTk2NWZkZmM1YWM0ODFiOTc4YTUxMmUwMDFlMjJhZWQ1ZGEzYzA4MjM3NTJjMjU4Yjk2NzgwMmZlOTFhZTQ2ZSIsInZlcnNpb24iOjF9.RU2An-d03Zoslimw_8x1jJCKJlrGTXpdv2gXOfQth_6JaQ6i64I_CnfKQZUQ35GqLePtMlSNfeGEgRNEhIYRAw | |
- type: loss | |
value: 15.141033172607422 | |
name: loss | |
verified: true | |
verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiMzJjZDk1NGJlZWVhNDY3ODc5NTdiMTEwMDBkYWNkMGIwOGEyZDk0ZDY2NmQ3OTllNDQ0ZTRlNjY4ZTYwNThmZiIsInZlcnNpb24iOjF9.XON0oqXPByyfDSTa92dgvXx26GyamxFFFKkKGyMQpzpRsdWWXDDhQ94Gw4q_MAeBh3rkSgQg3eGQ8ngmsGrtCw | |
- type: gen_len | |
value: 20.0 | |
name: gen_len | |
verified: true | |
verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiMmY4ZDA5YjcyNTBkMDI4ZGYyNTc4MDdlNTc5ZDVmYzkyNzEzNzdmNGJjNDc5Mzk5Mjc1N2M1ZmJmNTMzNTdlYSIsInZlcnNpb24iOjF9.UfzSIwX-X4JAZVmEqpDHdLca2OdG1GlWQOVJ7Vdk5CnLen0PyhcDGVSAltiiwZFrL5Jvg850pHWp2h4yNEszCQ | |
<!-- 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. --> | |
# bart-base-finetuned-cnn_dailymail | |
This model is a fine-tuned version of [facebook/bart-base](https://huggingface.co/facebook/bart-base) on the cnn_dailymail dataset. | |
It achieves the following results on the evaluation set: | |
- Loss: 1.5396 | |
- Rouge1: 0.3511 | |
- Rouge2: 0.1925 | |
- Rougel: 0.3086 | |
- Rougelsum: 0.3292 | |
## 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: 5.6e-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 | | |
|:-------------:|:-----:|:------:|:---------------:|:------:|:------:|:------:|:---------:| | |
| 1.9486 | 1.0 | 35890 | 1.5941 | 0.3498 | 0.1893 | 0.3063 | 0.3272 | | |
| 1.6706 | 2.0 | 71780 | 1.5601 | 0.3503 | 0.1916 | 0.3079 | 0.3279 | | |
| 1.4809 | 3.0 | 107670 | 1.5423 | 0.3520 | 0.1923 | 0.3086 | 0.3295 | | |
| 1.3293 | 4.0 | 143560 | 1.5396 | 0.3511 | 0.1925 | 0.3086 | 0.3292 | | |
### Framework versions | |
- Transformers 4.24.0 | |
- Pytorch 1.12.1+cu113 | |
- Datasets 2.7.1 | |
- Tokenizers 0.13.2 | |