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: 2.6824
- Rouge1: 16.5186
- Rouge2: 10.0545
- Rougel: 16.2944
- Rougelsum: 16.2835
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: 16
- eval_batch_size: 16
- 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 |
|---|---|---|---|---|---|---|---|
| 8.4221 | 1.0 | 651 | 3.1302 | 13.8778 | 6.1808 | 13.6862 | 13.6699 |
| 4.1085 | 2.0 | 1302 | 2.8969 | 13.7773 | 7.1463 | 13.7471 | 13.7448 |
| 3.7329 | 3.0 | 1953 | 2.8285 | 13.3819 | 6.5587 | 13.3349 | 13.1454 |
| 3.5489 | 4.0 | 2604 | 2.7547 | 16.886 | 9.8816 | 16.8247 | 16.8231 |
| 3.4223 | 5.0 | 3255 | 2.7334 | 16.6755 | 10.0955 | 16.5465 | 16.5025 |
| 3.3509 | 6.0 | 3906 | 2.6994 | 16.851 | 10.5061 | 16.6289 | 16.7191 |
| 3.2895 | 7.0 | 4557 | 2.6871 | 16.4401 | 10.0994 | 16.2156 | 16.224 |
| 3.281 | 8.0 | 5208 | 2.6824 | 16.5186 | 10.0545 | 16.2944 | 16.2835 |
Framework versions
- Transformers 4.35.2
- Pytorch 2.1.0+cu118
- Datasets 2.15.0
- Tokenizers 0.15.0