metadata
library_name: transformers
license: apache-2.0
base_model: google/mt5-small
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: summary_train
results: []
summary_train
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: 2.4938
- Rouge1: 0.2611
- Rouge2: 0.0697
- Rougel: 0.2105
- Rougelsum: 0.2108
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: 2e-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 8
Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum |
|---|---|---|---|---|---|---|---|
| 3.7973 | 1.0 | 23107 | 2.7960 | 0.2364 | 0.0537 | 0.1893 | 0.1895 |
| 3.184 | 2.0 | 46214 | 2.6606 | 0.2491 | 0.0608 | 0.1994 | 0.1997 |
| 3.0337 | 3.0 | 69321 | 2.5828 | 0.2536 | 0.0645 | 0.2038 | 0.2042 |
| 2.9501 | 4.0 | 92428 | 2.5492 | 0.2584 | 0.0675 | 0.2080 | 0.2084 |
| 2.8958 | 5.0 | 115535 | 2.5198 | 0.2588 | 0.0678 | 0.2083 | 0.2086 |
| 2.8594 | 6.0 | 138642 | 2.5048 | 0.2593 | 0.0685 | 0.2089 | 0.2093 |
| 2.8376 | 7.0 | 161749 | 2.4979 | 0.2603 | 0.0691 | 0.2099 | 0.2102 |
| 2.8234 | 8.0 | 184856 | 2.4938 | 0.2611 | 0.0697 | 0.2105 | 0.2108 |
Framework versions
- Transformers 4.47.0
- Pytorch 2.5.1+cu124
- Datasets 3.1.0
- Tokenizers 0.21.0