metadata
license: apache-2.0
base_model: google/mt5-small
tags:
- summarization
- generated_from_trainer
metrics:
- rouge
model-index:
- name: mT5
results: []
mT5
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: 2.7797
- Rouge1: 17.5958
- Rouge2: 5.5502
- Rougel: 14.89
- Rougelsum: 15.8861
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 |
|---|---|---|---|---|---|---|---|
| 6.7587 | 1.0 | 313 | 3.0537 | 15.5845 | 4.426 | 12.7262 | 13.9385 |
| 3.6224 | 2.0 | 626 | 2.8799 | 16.4339 | 4.8534 | 13.3138 | 14.9449 |
| 3.3322 | 3.0 | 939 | 2.8378 | 18.1043 | 6.2202 | 15.376 | 16.5012 |
| 3.1974 | 4.0 | 1252 | 2.8008 | 17.8905 | 5.7529 | 15.0379 | 16.3205 |
| 3.1183 | 5.0 | 1565 | 2.7936 | 17.7318 | 5.4565 | 14.8508 | 15.9979 |
| 3.0522 | 6.0 | 1878 | 2.7824 | 17.6328 | 5.5352 | 14.7803 | 15.8202 |
| 3.019 | 7.0 | 2191 | 2.7846 | 17.7348 | 5.4391 | 14.7499 | 15.8859 |
| 2.9889 | 8.0 | 2504 | 2.7797 | 17.5958 | 5.5502 | 14.89 | 15.8861 |
Framework versions
- Transformers 4.32.1
- Pytorch 1.13.0+cpu
- Datasets 2.14.4
- Tokenizers 0.13.3