metadata
license: apache-2.0
base_model: google/mt5-small
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: 3.0319
- Rouge1: 16.5297
- Rouge2: 8.0695
- Rougel: 16.2097
- Rougelsum: 16.1294
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 |
|---|---|---|---|---|---|---|---|
| 3.412 | 1.0 | 1209 | 3.1340 | 17.7742 | 8.512 | 17.0142 | 17.0204 |
| 3.3927 | 2.0 | 2418 | 3.0678 | 16.8885 | 8.3578 | 16.5111 | 16.4484 |
| 3.2559 | 3.0 | 3627 | 3.0782 | 15.7851 | 7.5518 | 15.4435 | 15.3263 |
| 3.1684 | 4.0 | 4836 | 3.0287 | 15.6152 | 7.421 | 15.4312 | 15.3636 |
| 3.1107 | 5.0 | 6045 | 3.0490 | 16.8609 | 8.0654 | 16.6694 | 16.6019 |
| 3.0603 | 6.0 | 7254 | 3.0357 | 16.0716 | 7.5671 | 15.9592 | 15.8328 |
| 3.024 | 7.0 | 8463 | 3.0307 | 16.7427 | 8.067 | 16.412 | 16.3441 |
| 3.0099 | 8.0 | 9672 | 3.0319 | 16.5297 | 8.0695 | 16.2097 | 16.1294 |
Framework versions
- Transformers 4.35.2
- Pytorch 2.1.0+cu121
- Datasets 2.15.0
- Tokenizers 0.15.0