metadata
license: apache-2.0
tags:
- summarization
- generated_from_trainer
metrics:
- rouge
model-index:
- name: mt5-small-finetuned-amazon-en-es
results: []
mt5-small-finetuned-amazon-en-es
This model is a fine-tuned version of google/mt5-small on the None dataset. It achieves the following results on the evaluation set:
- Loss: 3.0282
- Rouge1: 17.629
- Rouge2: 8.5256
- Rougel: 17.1329
- Rougelsum: 17.1403
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 |
|---|---|---|---|---|---|---|---|
| 6.6665 | 1.0 | 1209 | 3.2917 | 13.9446 | 5.4878 | 13.3696 | 13.3884 |
| 3.9091 | 2.0 | 2418 | 3.1575 | 16.5515 | 8.4045 | 15.734 | 15.8858 |
| 3.5987 | 3.0 | 3627 | 3.0803 | 18.4586 | 10.0134 | 17.6448 | 17.8592 |
| 3.4269 | 4.0 | 4836 | 3.0492 | 17.9493 | 8.9283 | 17.0803 | 17.1683 |
| 3.3213 | 5.0 | 6045 | 3.0466 | 18.124 | 8.967 | 17.4472 | 17.4445 |
| 3.2368 | 6.0 | 7254 | 3.0405 | 17.5527 | 8.4814 | 16.9722 | 17.0104 |
| 3.2039 | 7.0 | 8463 | 3.0335 | 17.5116 | 8.2969 | 17.006 | 17.0084 |
| 3.1834 | 8.0 | 9672 | 3.0282 | 17.629 | 8.5256 | 17.1329 | 17.1403 |
Framework versions
- Transformers 4.18.0
- Pytorch 1.11.0+cu113
- Datasets 2.1.0
- Tokenizers 0.12.1