metadata
license: apache-2.0
tags:
- translation
- 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 the None dataset. It achieves the following results on the evaluation set:
- Loss: 3.0255
- Rouge1: 17.5202
- Rouge2: 8.4634
- Rougel: 17.0175
- Rougelsum: 17.0528
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 |
|---|---|---|---|---|---|---|---|
| 8.094 | 1.0 | 1209 | 3.2933 | 12.7563 | 5.2606 | 12.4786 | 12.4961 |
| 3.9263 | 2.0 | 2418 | 3.1487 | 16.2314 | 8.4716 | 15.6854 | 15.7506 |
| 3.599 | 3.0 | 3627 | 3.0789 | 16.9233 | 8.1928 | 16.2596 | 16.2522 |
| 3.429 | 4.0 | 4836 | 3.0492 | 17.2679 | 8.7561 | 16.6685 | 16.7399 |
| 3.3279 | 5.0 | 6045 | 3.0384 | 17.6081 | 8.6721 | 17.0546 | 17.0368 |
| 3.2518 | 6.0 | 7254 | 3.0343 | 17.2271 | 8.504 | 16.6285 | 16.6209 |
| 3.2084 | 7.0 | 8463 | 3.0255 | 16.7859 | 8.054 | 16.2574 | 16.2853 |
| 3.1839 | 8.0 | 9672 | 3.0255 | 17.5202 | 8.4634 | 17.0175 | 17.0528 |
Framework versions
- Transformers 4.16.2
- Pytorch 1.10.0+cu111
- Datasets 1.18.3
- Tokenizers 0.11.6