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: 2.5050
- Rouge1: 16.471
- Rouge2: 9.6857
- Rougel: 16.1028
- Rougelsum: 16.1929
- Gen Len: 7.4538
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: 8e-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 | Gen Len |
|---|---|---|---|---|---|---|---|---|
| 5.9093 | 1.0 | 1209 | 2.8536 | 9.0682 | 7.3025 | 8.7377 | 8.88 | 3.5504 |
| 3.2481 | 2.0 | 2418 | 2.6507 | 16.3535 | 11.0792 | 16.0699 | 16.135 | 7.1387 |
| 2.9617 | 3.0 | 3627 | 2.5843 | 15.2778 | 9.4619 | 15.0177 | 15.0804 | 7.4118 |
| 2.8128 | 4.0 | 4836 | 2.5501 | 15.9292 | 9.3908 | 15.6132 | 15.6424 | 7.9286 |
| 2.7324 | 5.0 | 6045 | 2.5321 | 16.1222 | 9.0046 | 15.7392 | 15.813 | 8.1471 |
| 2.6572 | 6.0 | 7254 | 2.5073 | 17.4735 | 10.8534 | 17.0458 | 17.0905 | 6.9538 |
| 2.6118 | 7.0 | 8463 | 2.5132 | 16.6198 | 9.8078 | 16.2883 | 16.3328 | 7.2605 |
| 2.5818 | 8.0 | 9672 | 2.5050 | 16.471 | 9.6857 | 16.1028 | 16.1929 | 7.4538 |
Framework versions
- Transformers 4.12.0.dev0
- Pytorch 1.9.1+cu111
- Datasets 1.12.2.dev0
- Tokenizers 0.10.3