metadata
license: apache-2.0
base_model: google/mt5-small
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: mt5-small-finetuned-amazon-en-de
results: []
mt5-small-finetuned-amazon-en-de
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: 2.6546
- Rouge1: 18.2986
- Rouge2: 10.9624
- Rougel: 17.8943
- Rougelsum: 18.0009
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: 4
Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum |
|---|---|---|---|---|---|---|---|
| 3.3465 | 1.0 | 1301 | 2.7467 | 16.9837 | 10.688 | 16.7552 | 16.8412 |
| 2.9974 | 2.0 | 2602 | 2.7116 | 17.3625 | 9.9383 | 17.2101 | 17.2771 |
| 3.2834 | 3.0 | 3903 | 2.6592 | 17.8403 | 10.7668 | 17.6087 | 17.6695 |
| 3.2139 | 4.0 | 5204 | 2.6546 | 18.2986 | 10.9624 | 17.8943 | 18.0009 |
Framework versions
- Transformers 4.34.1
- Pytorch 2.1.0+cu118
- Datasets 2.14.6
- Tokenizers 0.14.1