autoevaluator
HF staff
Add evaluation results on the en config and test split of amazon_reviews_multi
171e02d
| license: apache-2.0 | |
| tags: | |
| - summarization | |
| - generated_from_trainer | |
| metrics: | |
| - rouge | |
| model-index: | |
| - name: mt5-small-finetuned-amazon-en-es | |
| results: | |
| - task: | |
| type: summarization | |
| name: Summarization | |
| dataset: | |
| name: amazon_reviews_multi | |
| type: amazon_reviews_multi | |
| config: en | |
| split: test | |
| metrics: | |
| - type: rouge | |
| value: 16.0953 | |
| name: ROUGE-1 | |
| verified: true | |
| verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiYWM4N2I0ZWVjODAxMTVlYWQ4NjJlZGNhZThhYTUzNzZkNDkwMTIzMDgwYTA5NDZmNTI5ZWRkNTVhOWViZjM0MCIsInZlcnNpb24iOjF9.8jj8_0N1GtD45O4Gv4dpYPU89DdLEGClJQhLKuujeCtBRdYvL7vdoiYGRgDGKrqHP4Jnkh1wuLcECuln29R1AQ | |
| - type: rouge | |
| value: 8.4515 | |
| name: ROUGE-2 | |
| verified: true | |
| verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiZjc3NzljYTRmNjM1MmI2NWY3ODA5MWIzMzZmZWMyMjJjM2ZiYWZhZGNhYjliNjE5ZWYzNTQzNWM0MTY3YTZmOCIsInZlcnNpb24iOjF9.6OFeY0cvK4eJOufvN82FXRgXBPQUjkrVwhO3dzBNp9Dxo3Hhxb1NYiX8ynNXXB9h2jBDCf1_fjDE2QQcAmkeAA | |
| - type: rouge | |
| value: 15.5619 | |
| name: ROUGE-L | |
| verified: true | |
| verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiODY1NTk4MWI1MzIxYzFkNjJkNDljZGUyOGJkOWYzMGZiZjgyNWE4YmFkNzVmMWFhOWIwYWExZDIxNmIxYzZjMiIsInZlcnNpb24iOjF9.QpcOq32dZXy96GluC2rmW7F1yfwqdStnYdZFMo1FRJ87V2OlkoWUzTTvkdpU8iBx3QMIksGXhfRd0nyYUSoIDQ | |
| - type: rouge | |
| value: 15.6211 | |
| name: ROUGE-LSUM | |
| verified: true | |
| verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiYTgzYjJjZDFhMjcxMjc1MjM0YzJiOTY2ZjQ5ZjI4OThiYjEwNTk0YjUzNDQwZjExMDA2YmZjNGQ1Yjc2NWIwYSIsInZlcnNpb24iOjF9.slNYoKqIhYonzYJ6JEcizoNFQ_w8QDOSz-8CfYS8Jcgjdq-wYAcuGA3YLmBMcT3fqsOWtMrgNa38MZpsl6jnAw | |
| - type: loss | |
| value: 3.2149159908294678 | |
| name: loss | |
| verified: true | |
| verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiZDI3ZTEyZmNkYzc0MDFlN2NlODNiZDI5NTk5OGU4OGJmZDFkZjNjNTdiNjAwODk3OTM5ZTg4MmE4YTQ5YmE3ZCIsInZlcnNpb24iOjF9.rrGbsK4UFg3RRdfGs93gJn4NsT3xgGfwX5pPT2KdVi94JLJMkWBjOoTQYLCifDFYa-URvc8wXoS6uYf40QgTAA | |
| - type: gen_len | |
| value: 11.4986 | |
| name: gen_len | |
| verified: true | |
| verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiYTk0NDQ2YjU1OWY0M2ZiNmNhNGNjNTBjM2ZmOGQyY2NhMDQwOTFkNDYyN2YyYjkwNjBmZjEwMTQxZGJlYTk5YSIsInZlcnNpb24iOjF9.dph0CNrfa7qgJ0hXIBbWfBP_2dfVBGW7cm5UH2thi75HVhLkAZ8probn5HFM2ZDPddGkHYLZga4v0Nd_PJsVCQ | |
| <!-- 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. --> | |
| # mt5-small-finetuned-amazon-en-es | |
| This model is a fine-tuned version of [google/mt5-small](https://huggingface.co/google/mt5-small) on the None dataset. | |
| It achieves the following results on the evaluation set: | |
| - Loss: 3.0294 | |
| - Rouge1: 16.6807 | |
| - Rouge2: 8.0004 | |
| - Rougel: 16.2251 | |
| - Rougelsum: 16.1743 | |
| ## 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: 8 | |
| ### Training results | |
| | Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | | |
| |:-------------:|:-----:|:----:|:---------------:|:-------:|:------:|:-------:|:---------:| | |
| | 6.5928 | 1.0 | 1209 | 3.3005 | 14.7863 | 6.5038 | 14.3031 | 14.2522 | | |
| | 3.9024 | 2.0 | 2418 | 3.1399 | 16.9257 | 8.6583 | 16.15 | 16.1299 | | |
| | 3.5806 | 3.0 | 3627 | 3.0869 | 18.2734 | 9.1667 | 17.7441 | 17.5782 | | |
| | 3.4201 | 4.0 | 4836 | 3.0590 | 17.763 | 8.9447 | 17.1833 | 17.1661 | | |
| | 3.3202 | 5.0 | 6045 | 3.0598 | 17.7754 | 8.5695 | 17.4139 | 17.2653 | | |
| | 3.2436 | 6.0 | 7254 | 3.0409 | 16.8423 | 8.1593 | 16.5392 | 16.4297 | | |
| | 3.2079 | 7.0 | 8463 | 3.0332 | 16.8991 | 8.1574 | 16.4229 | 16.3515 | | |
| | 3.1801 | 8.0 | 9672 | 3.0294 | 16.6807 | 8.0004 | 16.2251 | 16.1743 | | |
| ### Framework versions | |
| - Transformers 4.22.1 | |
| - Pytorch 1.12.1+cu113 | |
| - Datasets 2.5.1 | |
| - Tokenizers 0.12.1 | |