metadata
library_name: transformers
license: apache-2.0
base_model: google/mt5-base
tags:
- summarization
- generated_from_trainer
metrics:
- rouge
model-index:
- name: mt5-finetuned-summarize
results: []
mt5-finetuned-summarize
This model is a fine-tuned version of google/mt5-base on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.2613
- Rouge1: 2.1127
- Rouge2: 0.0
- Rougel: 2.1127
- Rougelsum: 2.1127
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: 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 |
|---|---|---|---|---|---|---|---|
| 5.8246 | 1.0 | 159 | 1.4914 | 2.1127 | 0.0 | 2.1127 | 2.1127 |
| 1.4676 | 2.0 | 318 | 0.4395 | 1.6432 | 0.0 | 1.8779 | 1.8779 |
| 0.6332 | 3.0 | 477 | 0.3840 | 1.6432 | 0.0 | 1.8779 | 1.8779 |
| 0.4717 | 4.0 | 636 | 0.3274 | 1.6432 | 0.0 | 1.8779 | 1.8779 |
| 0.3878 | 5.0 | 795 | 0.3058 | 2.1127 | 0.0 | 2.1127 | 2.1127 |
| 0.3826 | 6.0 | 954 | 0.2466 | 2.1127 | 0.0 | 2.1127 | 2.1127 |
| 0.3243 | 7.0 | 1113 | 0.2535 | 2.1127 | 0.0 | 2.1127 | 2.1127 |
| 0.2976 | 8.0 | 1272 | 0.2613 | 2.1127 | 0.0 | 2.1127 | 2.1127 |
Framework versions
- Transformers 4.47.1
- Pytorch 2.5.1+cu121
- Datasets 3.2.0
- Tokenizers 0.21.0