Hyperparameters
{
"num_train_epochs": 3,
"seed": 7,
"summary_column": "output_text",
"text_column": "text",
"encoder_max_length" : 512,
"decoder_max_length" :36,
"batch_size" : 256
}
Usage
Results
| key | value |
|---|---|
| eval loss | 4.539857387542725 |
| eval_rouge1 | 23.7478 |
| eval_rouge2 | 7.3616 |
| eval_rougeL | 20.6615 |
| eval_rougeLsum | 20.7371 |
| eval_gen_len | 16.1806 |
| test loss | 4.515065670013428 |
| test_rouge1 | 23.7415 |
| test_rouge2 | 7.3548 |
| test_rougeL | 20.746 |
| test_rougeLsum | 20.8149 |
| test_gen_len | 16.1926 |
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Dataset used to train LeoCordoba/beto2beto-cc-news-es-titles
Space using LeoCordoba/beto2beto-cc-news-es-titles 1
Evaluation results
- Validation ROGUE-1 on CCNEWS-ES-titlesself-reported23.748
- Validation ROGUE-2 on CCNEWS-ES-titlesself-reported7.362
- Validation ROGUE-L on CCNEWS-ES-titlesself-reported20.662
- Validation ROGUE-Lsum on CCNEWS-ES-titlesself-reported20.737
- Test ROGUE-1 on CCNEWS-ES-titlesself-reported23.741
- Test ROGUE-2 on CCNEWS-ES-titlesself-reported7.355
- Test ROGUE-L on CCNEWS-ES-titlesself-reported20.746
- Test ROGUE-Lsum on CCNEWS-ES-titlesself-reported20.815