metadata
license: apache-2.0
base_model: google/mt5-small
tags:
- 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: 2.5792
- Rouge1: 19.178
- Rouge2: 11.1294
- Rougel: 18.8056
- Rougelsum: 18.8857
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 |
|---|---|---|---|---|---|---|---|
| 3.1482 | 1.0 | 1301 | 2.6708 | 17.2978 | 11.0922 | 17.1791 | 17.1414 |
| 2.867 | 2.0 | 2602 | 2.6532 | 17.7932 | 10.2988 | 17.6139 | 17.6418 |
| 2.74 | 3.0 | 3903 | 2.6575 | 19.2584 | 11.6796 | 18.98 | 19.0057 |
| 3.0353 | 4.0 | 5204 | 2.5845 | 19.1599 | 11.2723 | 18.8132 | 18.8559 |
| 2.9691 | 5.0 | 6505 | 2.5820 | 18.2435 | 9.5271 | 17.904 | 17.9735 |
| 2.9221 | 6.0 | 7806 | 2.5784 | 18.5969 | 10.5778 | 18.2837 | 18.2395 |
| 2.8944 | 7.0 | 9107 | 2.5738 | 18.6871 | 10.6402 | 18.4386 | 18.4199 |
| 2.8636 | 8.0 | 10408 | 2.5792 | 19.178 | 11.1294 | 18.8056 | 18.8857 |
Framework versions
- Transformers 4.34.0
- Pytorch 2.0.1+cu118
- Datasets 2.14.5
- Tokenizers 0.14.1