metadata
license: apache-2.0
base_model: google/mt5-small
tags:
- summarization
- generated_from_trainer
metrics:
- rouge
model-index:
- name: mt5-small-finetuned-news_title_generation
results: []
mt5-small-finetuned-news_title_generation
This model is a fine-tuned version of google/mt5-small on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 1.8317
- Rouge1: 38.8271
- Rouge2: 15.9699
- Rougel: 37.4629
- Rougelsum: 37.4611
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 |
|---|---|---|---|---|---|---|---|
| 2.9375 | 1.0 | 1715 | 2.1953 | 32.8581 | 12.0123 | 31.7428 | 31.7415 |
| 2.7861 | 2.0 | 3430 | 2.0516 | 34.7374 | 12.8384 | 33.5105 | 33.5139 |
| 2.5732 | 3.0 | 5145 | 1.9641 | 36.3304 | 14.2331 | 35.0356 | 35.0547 |
| 2.434 | 4.0 | 6860 | 1.9057 | 36.696 | 14.5408 | 35.4881 | 35.48 |
| 2.3377 | 5.0 | 8575 | 1.8784 | 37.5708 | 14.9623 | 36.232 | 36.2245 |
| 2.2665 | 6.0 | 10290 | 1.8506 | 38.0536 | 15.35 | 36.7089 | 36.6998 |
| 2.2281 | 7.0 | 12005 | 1.8379 | 38.6899 | 16.0013 | 37.3522 | 37.3469 |
| 2.2025 | 8.0 | 13720 | 1.8317 | 38.8271 | 15.9699 | 37.4629 | 37.4611 |
Framework versions
- Transformers 4.42.4
- Pytorch 2.3.1+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1