metadata
library_name: transformers
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 an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 3.2830
- Rouge1: 15.06
- Rouge2: 6.78
- Rougel: 14.55
- Rougelsum: 14.52
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 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 |
|---|---|---|---|---|---|---|---|
| No log | 1.0 | 125 | 3.2940 | 14.93 | 6.52 | 14.68 | 14.68 |
| No log | 2.0 | 250 | 3.2848 | 14.36 | 6.32 | 13.93 | 13.9 |
| No log | 3.0 | 375 | 3.2891 | 14.01 | 6.4 | 13.68 | 13.61 |
| No log | 4.0 | 500 | 3.2786 | 14.26 | 6.35 | 13.87 | 13.83 |
| No log | 5.0 | 625 | 3.2825 | 14.55 | 5.54 | 14.17 | 14.14 |
| No log | 6.0 | 750 | 3.2934 | 14.16 | 6.38 | 13.81 | 13.78 |
| No log | 7.0 | 875 | 3.2830 | 14.83 | 6.67 | 14.43 | 14.39 |
| No log | 8.0 | 1000 | 3.2830 | 15.06 | 6.78 | 14.55 | 14.52 |
Framework versions
- Transformers 4.46.2
- Pytorch 2.5.1+cu121
- Datasets 3.1.0
- Tokenizers 0.20.3