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: 3.4342
- Rouge1: 12.0992
- Rouge2: 4.5839
- Rougel: 11.7396
- Rougelsum: 11.7991
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: 4
Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum |
|---|---|---|---|---|---|---|---|
| No log | 1.0 | 375 | 4.2969 | 7.239 | 2.0829 | 7.0468 | 7.118 |
| No log | 2.0 | 750 | 3.5430 | 10.269 | 3.1019 | 9.8547 | 9.8446 |
| No log | 3.0 | 1125 | 3.4631 | 10.7473 | 3.9626 | 10.359 | 10.4257 |
| 7.1386 | 4.0 | 1500 | 3.4342 | 12.0992 | 4.5839 | 11.7396 | 11.7991 |
Framework versions
- Transformers 4.46.2
- Pytorch 2.5.1+cu121
- Datasets 3.1.0
- Tokenizers 0.20.3